Ensure your success with 000-900 braindumps

Passing the 000-900 exam is not sufficient if you want to really perform in the field. You ought to have adequate 000-900 information that will improve your situation in the commonsense field. We extraordinarily concentrate to further developing your insight about 000-900 goals with our 000-900 actual test questions and replies with VCE practice tests

Exam Code: 000-900 Practice exam 2022 by Killexams.com team
IBM Tivoli Total Storage Productivity Center V3.1 Implement.
IBM Productivity exam format
Killexams : IBM Productivity exam format - BingNews https://killexams.com/pass4sure/exam-detail/000-900 Search results Killexams : IBM Productivity exam format - BingNews https://killexams.com/pass4sure/exam-detail/000-900 https://killexams.com/exam_list/IBM Killexams : Background and Supplementary Reading Killexams : History 398 - Sources and Further Reading


Week 1, Introduction, The Technics of Simple and Compound Machines

The second lecture introduces the basic characteristics of simple and compound machines, taking as examples the machines described by Georgius Agricola in his De re metallica (1556) and the application of machines to the task of moving the Vatican obelisk as recounted by Domenico Fontana in his work of 1585.

Readings and Sources

Frances and Joseph Gies, Cathedral, Forge, and Waterwheel: Technology and Invention in the Middle Ages (NY: HarperCollins, 1994), summarize the current literature on the machine technology of the Middle Ages. Agricola's work as translated by Herbert and Lou Henry Hoover is still available in a Dover reprint. Also available from Dover is The Various and Ingenious Machines of Agostino Ramelli, trans. by Martha Teach Gnudi, with notes by Eugene S. Ferguson, which is a treasury of Renaissance (i.e. medieval) machine technics.  The catalog for the exhibition Mechanical Marvels: Invention in the Age of Leonardo, organized by the Istituto e Museo di Storia delle Scienze in Florence and the Italian firm Finmeccanica in 1997 offers a rich collection of Renaissance illustrations and photographs of reconstructions of Renaissance machines.  It was accompanied by a compact disc that included the animations of the machines at work.

Week 2, Mill and Manor, Cathedral and Town

With the technical system of the mill covered in Lecture 2 and that of the cathedral laid out in Erlande-Brandenburg's book, the lectures for this week turn to the place of the two systems in their respective social settings. Given the nature of the readings, the lectures emphasize the social and economic presence of the mill and the cathedral. A highly schematic description of the traditional agricultural village sets some of the background for understanding the upheaval brought about by the Industrial Revolution, especially among cottagers and marginal labor.

Readings

The chapters in Holt's study place the medieval English mill in its manorial setting and bring the miller out from behind the caricature presented by the literature of the period. In both cases, the argument offers insight into the sources and methods of cultural history of technology in pre-modern societies.

Sources

The mill is arguably the most sophisticated technical system of the preindustrial world. Certainly it was the most prevalent at the time; Domesday Book recorded almost 6000 watermills in England in 1068, and a century later the windmill began to spread from its apparent origin in East Anglia. Mills dotted the countryside throughout Europe, filled the understructures of the bridge of Paris, and floated in the major rivers. Structurally, the mill seems the evident model for the mechanical clock, devised sometime in the late 12th or early 13th century. Yet, as a technical system and as a social presence the mill has until recently escaped the attention of historians.

Three works now admirably fill the lacuna, the most exact being Richard L. Hills's Power from Wind: A History of Windmill Technology (Cambridge, 1994). Terry S. Reynolds' Stronger Than A Hundred Men: A History of the Vertical Water Wheel (Baltimore: Johns Hopkins, 1983) is a wide-ranging study that moves between technical details and social settings from ancient times down to the nineteenth century and that rests on what seems an exhaustive bibliography. Richard Holt's The Mills of Medieval England (Oxford, 1988) is geographically more focused but socially more detailed. Drawn from extensive archival research, it provides a well illustrated, technically proficient account of the construction and working of water and wind mills, and then sets out the economic, legal, and social structures that tied them to medieval English society. In this latter area, Holt's account significantly revises the long standard interpretation of Marc Bloch in his classic "The Advent and Triumph of the Watermills" (in his Land and Work in Medieval Europe, London 1967; orig. "Avènement et conquête du moulin à eau", Annales d'histoire economique et sociale 36[1935], 583-663), at least for England. John Muendel has written a series of articles on mills in northern Italy, exploring both their technical and their economic structure; see for example "The distribution of mills in the Florentine countryside during the late Middle Ages" in J.A. Raftis, ed., Pathways to Medieval Peasants (Toronto, 1981), 83-115, and "The horizontal mills of Pistoia", Technology and Culture 15(1974), 194-225. Chapter 2 of Lynn White's classic Medieval Technology and Social Change sets the background of the mill in "The Agricultural Revolution of the Middle Ages", and Chapter 3 treats water power, the mill, and machines in general. Marjorie Boyer's "Water mills: a problem for the bridges and boats of medieval France" (History of Technology 7(1982), 1-22), an outgrowth of her study of medieval bridges, calls attention to the urban presence of mills and makes it all the more curious that medieval scholars could talk of the machina mundi without mentioning them.

Two other monographs provide valuable guides to the technical structure of the mill. John Reynolds' Windmills and Watermills (London, 1970) and Rex Wailes's The English Windmill (London, 1954) are both richly illustrated, though Wailes's superb drawings, born of thirty years of visiting mills, often make the operations clearer than do Reynolds' photographs.

Robert Mark's Experiments in Gothic Structures analyses in some detail the technical structure of cathedrals, taking advantage of exact engineering methods such as photoelasticity and finite-element analysis. As the course developed, it became clear that the book is too long and technically detailed. The lecture lays out the main argument, illustrated by slides used in the book and reinforced by Mark's article coauthored with William W. Clark, "Gothic Structural Experimentation", Scientific American 251,5(1984), 176-185. There Mark and Clark document technical communication between builders at Notre Dame in Paris and at the new cathedral in Bourges. Jean Gimpel, The Cathedral Builders (NY, 1961), and Henry Kraus, Gold Was the Mortar: The Economics of Cathedral Building (London, 1978), place the building of cathedrals in the wider social context of the medieval city. In "The Education of the Medieval English Master Masons", Mediaeval Studies 32(1970), 1-26, and "The Geometrical Knowledge of the Medieval Master Masons", Speculum47(1972), 395-421, Lon Shelby dispels the legends of a secret science by describing the measurements the masons actually carried out in building large structures. David Macauley's Cathedral brings medieval construction to life in his inimitable drawings, the basis for an animated TV documentary.

The social drama of the building of a cathedral has attracted the attention of several novelists.  Ken Follett's Pillars of the Earth is my favorite, in particular for its technical accuracy and for its focus on the masons whose skill made the buildings possible.

Week 3, Power Machinery, The Steam Engine

The two lectures use slides and models to explain the workings of the new textile machinery and of the steam engine as they were invented and developed in the mid-to-late 18th century. The first focuses on the mechanization of spinning and the different relationship between operator and machine in the jenny and the frame, while the second follows the motives behind Watt's improvements on the Newcomen design and the resulting shift of focus from mines to factories and then to railroads.

Readings

The first chapter of Peter Laslett's The World We Have Lost portrays the social structure of pre-Industrial England, while Richard L. Hills's Power in the Industrial Revolution complements the lectures in several directions: Chapter 2 provides a survey of the process of transforming raw fiber into finished cloth, with an emphasis on the increasing difficulty of translating the manual task into mechanical action; 10 analyzes the problem of bringing power to the machines, with stress on the difficulties of measurement; and 11 describes the special difficulties of weaving by power.

Sources

For a more extensive and exact look at "the world we have lost", see Part I of Patricia Crone's Pre-Industrial Societies (Oxford/Cambridge, MA, 1989), as well as Carlo M. Cipolla's Before the Industrial Revolution: European Society and Economy, 1000-1700 (3rd. ed. NY, 1994).

In addition to Hills's comprehensive and well documented account, Walter English's The Textile Industry: An Account of the Early Inventions of Spinning, Weaving, and Knitting Machines (NY, 1969) contains detailed descriptions, supported by excellent diagrams and illustrations. Also helpful for illustrations are Maurice Daumas (ed.), A History of Technology and Invention (NY, 1978; orig. Histoire générale des techniques, Paris, 1969), vol. III, Part 7, Chaps. 1-2, and Wallace's Rockdale (see following week).

The steam engine must be the best described machine in the history of technology. Particular good explanations and illustrations can be found in Eugene S. Ferguson's "The Origins of the Steam Engine", Scientific American (Jan. 1964; repr. in Gene I. Rochlin (comp.), Scientific Technology and Social Change: Readings from Scientific American, San Francisco, 1974, Chap. 6); and D.S.L. Cardwell, From Watt to Clausius: The Rise of Thermodynamics in the Early Industrial Age (Ithaca, 1971). The classic account in English remains Henry W. Dickinson, A Short History of the Steam Engine (London, 1938; 2nd. ed. 1963). On Watt in particular, see the documentary history assembled by Eric Robinson and A.E. Musson, James Watt and the Steam Revolution (Lond: Adams and Dart, 1969), which includes at the end color reproductions of engineers' wash drawings pertinent to the various patents.

Week 4, The Factory and The Factory System

The two lectures of this week and the first of the next pick up the agricultural society of the late Middle Ages and follow the transition to the new industrial society of the mid-19th century. The central element of that transition is the factory, viewed first as a system of production by machines, then as an organization of human labor, and finally as a new social and economic presence in British politics.

Readings

The readings provide supplementary and contrasting details for the lectures, which perforce are quite general and schematic. Chap. 12 of Hills's book opens the issue of how the machines themselves were produced.  J.T. Ward's The Factory System documents from contemporary sources the transition from domestic to factory production in the textile industry. The readings selected focus on artisans and domestic workers before the introduction of machines and on the initial response to the new system from various perspectives. Ward presents a seemingly bewildering potpourri of details, so it is important to look for the structures that hold them together. The lectures should provide some guidance.

Anthony F.C. Wallace's Rockdale describes the construction (or transformation) of a water-powered mill and reviews the constituent processes of cotton production by machine, supporting his discussion with excellent drawings. He pursues in some detail a question left open by the lectures, namely how manufacturers got hold of the machinery for their factories. Finally, he introduces readers to a group of families who worked in the mills. His verbal descriptions come to life when supplemented by David Macaulay's drawings in Mill (NY, 1983).

Sources

Jennifer Tann's The Development of the Factory (London, 1970) provides the most useful guide to the subject. Tann, who is the editor of The Selected Papers of Boulton & Watt (Vol. I, The Engine Partnership, MIT, 1981), builds her account on the B&W archives, from which she reproduces a rich selection of drawings and layouts of early factories. As she characterizes her work, "One of the themes which emerges from the following pages is that it was the same few manufacturers who adopted the costly innovations such as fire-proof buildings, who installed gas lighting, steam or warm air heating and fire extinguishing apparatus; they were the giants, the ones who are most likely to have left some record of their activities behind, yet in many respects, they were uncharacteristic. They appear to have found little difficulty in recruiting capital yet there were many smaller manufacturers who found difficulty in obtaining long-term loans, to whom a fire-proof factory or gas lighting would have seemed an unobtainable luxury. In this respect some of the most valuable letters are from those manufacturers who decided against buying a Boulton & Watt steam engine which was a good deal more expensive than an atmospheric engine or a simple water wheel."(p.2)

Other useful studies include:

William Fairbairn, Treatise on Mills and Millwork (2 vols., London, 1861-63; 2nd ed. 1864-65; 3rd ed. 1871-74; 4th ed. 1878); as the several editions suggest, this was the fundamental manual of mill design, covering the building, the source of power, the transmission power, heating, lighting, etc. Rich in illustrations.

Brian Bracegirdle, et al., The Archaeology of the Industrial Revolution (London, 1973), which contains magnificent black/white and color photos and line drawings of mills and steam engines, together with a brief but choice bibliography.

J.M. Richards, The Functional Tradition in Early Industrial Building (London, 1959); The many illustrations of early factories, water and wind mills, etc. are more helpful than the text.

A variety of sources provide glimpses of the workforce that first entered the new factories. Frank E. Huggett gives a short account built around extensive quotations from original sources in The Past, Present and Future of Factory Life and Work: A Documentary Inquiry (London, 1973). For a shorter account of the difficulties of adjustment to the regimen of the factory in its earliest days, based on a sampling of documentary evidence reflecting the experience of literate participants, see Sidney Pollard,, "Factory Discipline in the Industrial Revolution", Economic History Review 16(1963), 254-271. Humphrey Jennings has compiled a potpourri of original reports in Pandaemonium: The Coming of the Machine as Seen by Contemporary Observers, 1660-1886 (NY 1985).

Week 5, The Formation of Industrial Society, Industrial Ideologies

In 1815 England was ruled by a constitutional monarch, a hereditary nobility, and a landed gentry under a settlement worked out in 1689 after a half-century of turmoil. National policy was limited to matters of trade and diplomacy, with internal matters left to local government as embodied by Justices of the Peace meeting in Quarter Sessions. Land was the basis of political power, even as it was steadily losing in economic power to commerce and industry, the interests of which were largely unrepresented in Parliament. Over the next fifty years, that balance shifted radically, as the Constitution was reshaped to extend political voice to an urban electorate and to respond at the national level to the social and economic problems posed by rapid industrialization. That the transformation occurred without major violence makes it a remarkable chapter in British history. The first lecture traces the main outline of that process. The second examines contemporary efforts to explain the changes occurring at the time and to determine the basic structure of the newly emerging society. The lecture emphasizes the contrast between the political economists, who viewed industrialization as a perturbation in the dynamical system of the market, and Marx, who saw it as a new stage in the evolution of political society.

Reading

Charles Babbage's On the Economy of Machinery and Manufactures and Karl Marx's "Machinery and Large-Scale Industry" (Capital, Vol.I, Chap.15.) offer strongly contrasting views of the nature and future of the new industrial system. The specific chapters in Babbage show him trying to think out systems of production and looking forward to division of mental labor, i.e. management, which will become a theme later in the course. Few people have actually read Marx, who must rank as one of the greatest historians of technology; this is an opportunity to meet him on his home ground. Finally, E.P. Thompson's classic "Time, Work-Discipline, and Industrial Capitalism", Past and Present 38(1960), 56-97, offers a glimpse into the changing lives of industrial workers.

Sources

Histories of the Industrial Revolution in Britain abound. I have drawn mostly on S.G. Checkland, The Rise of Industrial Society in England, 1815-1885 (London, 1971), E.P. Thompson, The Making of the English Working Class (NY, 1963), and Phyllis Deane, The First Industrial Revolution (Cambridge, 1965). A exact study is Maxine Berg, The Age of Manufactures, 1700-1820: Industry, Innovation, and Work in Britain (Totawa, 1985/Oxford, 1986).

As an introduction to the history of economic thought, Robert L. Heilbronner's The Worldly Philosophers (NY, 1953; repr. in several editions since) is succinct and readable. For a reconsideration of Marx's technological determinism, see Donald Mackenzie, "Marx and the Machine", Technology and Culture 25(1984), 473-502, and John M. Sherwood, "Engels, Marx, Malthus, and the Machine", American Historical Review 90,4(1985),  837-65.

Week 6, The Machine in the Garden, John H. Hall and the Origins of the "American System"

England was the prototype for industrialization. The rest of the world could look to that country as an example of what to emulate and what to avoid. Some saw a land of power and prosperity and wondered aloud whether God might after all be an Englishman; others saw "dark, Satanic mills" and the "specter of Manchester" with its filthy slums and human misery. Americans in particular thought hard about industry and whether it could be reconciled with the republican virtues seemingly rooted in an agrarian order. "Let our workshops remain in Europe," urged Jefferson in his Notes on Virginia in 1785, and he was no happier for being wiser about the feasibility of that policy after the War of 1812. Nor did all his fellow countrymen agree in principle. Some saw vast opportunities for industry in a land rich in natural resources, including seemingly endless supplies of wood and of waterpower. The debate between the two views became a continuing theme of American literature, characterized by Leo Marx as The Machine in the Garden (NY, 1964).

The combination of abundant resources and scarce labor meant that industrialization in America would depend on the use of machinery, and from the outset American inventors strove to translate manual tasks into mechanical action. For reasons that so far elude scholarly consensus, Americans' fascination with machines informed their approach to manufacturing to such an extent that British observers in the mid-19th century characterized machine-based production as the "American System". Precisely what was meant by that at the time is not clear, but by the end of the century it came to mean mass production by means of interchangeable parts. The origins of that system lay in the new nation's armories, in particular at Harpers Ferry, where John H. Hall first devised techniques for serial machining of parts within given tolerances.

Reading

New to the course for 2001 is Ruth Schwartz Cowan's A Social History of American Technology, which provides the background for lectures dealing with case studies of the "republican technology" of the Lowell factories and the beginnings of the "American System" of mass production at Harpers Ferry Armory.

Sources

Chapter 2 of John F. Kasson's Civilizing the Machine: Technology and Republican Values in America, 1776-1900 relates Lowell's great experiment in combining automatic textile machinery with a transient female workforce to avoid a permanent urban proletariat. As a social experiment to reconcile industry with democratic values, Lowell has intrigued labor historians almost as much as it did contemporary observers. The most comprehensive account, based on payroll records and tax inventories, is Thomas Dublin, Women at Work: The Transformation Of Work and Community in Lowell, Massachusetts, 1826-1860 (NY, 1979). His Farm to Factory: Women's Letters, 1830-1860 (NY, 1981) transmits the workers' own words about their lives, as does Philip S. Foner's The Factory Girls (Urbana, 1977), meant to counteract the rosy picture painted in the factory-sponsored Lowell Offering, which has recently been reprinted. For a collection of original sources, factory views, and maps, see Gary Kulik, Roger Parks, and Theodore Penn (eds.), The New England Mill Village, 1790-1860 (Documents in American Industrial History, II, Cambridge, MA, 1982).

Merritt Roe Smith's Harpers Ferry Armory remains the standard account of John H. Hall's system for producing rifles with interchangeable parts on a scale large enough to be economical.  In addition to the technical details of the machinery and managerial techniques that made an industry of gunsmithing, Smith examines the political and social structure of the master gunmakers and the threats that the new technology posed to their way of life. Elting E. Morison's From Know-How to Nowhere: The Development of American Technology (NY, 1974) is a thoughtful and provocative account of engineering from colonial times to the early 20th century, emphasizing the loss of autonomy and accountability that came with modern industrial research. Two more exact accounts are David Freeman Hawke, Nuts and Bolts of the Past: A History of American Technology (NY, 1988), and Thomas P. Hughes, American Genesis: A Century of Invention and Technological Enthusiasm, 1879-1970 (NY, 1989). Brooke Hindle and Steven Lubar provide a richly illustrated survey of industrialization in America in their Engines of Change: The American Industrial Revolution (Washington, 1986). The book is based on an exhibit at the Smithsonian's National Museum of American History, the pictorial materials for which have been recorded on a videodisc available on request from the Museum. The now standard account of the development of mass production is David A. Hounshell, From the America System to Mass Production: The Development of Manufacturing Technology in the United States (Baltimore, 1984). A shorter version of his main thesis, together with an account of the armory system by Smith, is contained in Otto Mayr and Robert C. Post (eds.), Yankee Enterprise: The Rise of the American System of Manufactures (Washington, 1982).

Week 7, Precision and Production, Ford's Model T: A $500 Car

When Americans first began machine-based production, the United States had no machine-tool industry other than the shops attached to the factories themselves and the shops of traditional artisans such as clockmakers and gunsmiths. Using traditional hand tools, machine builders worked to routine tolerances of 1/100", and precision was achieved by fitting part to part. In 1914, the first full year of assembly-line production at Ford, rough surveys revealed some 500 firms producing over $30,000,000 worth of machine tools ranging from the most general to the most specific. Over the intervening century, routine shop-floor precision increased from 1/100" to 1/10,000", and the finest instruments could measure 1/1,000,000". Such precision does not occur naturally, nor are the means of attaining it self-evident. Indeed, Britain's leading machinist, Joseph Whitworth testified before Parliament that interchangeability and full machine production were not possible in principle. The achievement of the requisite precision over the course of the century is a remarkable story, still not told outside the specialist literature, and the first lecture is an effort to tell it.

Accuracy to 0.0001", achieved automatically by machines, was a prerequisite of Ford's methods of production and hence of the automobile he designed to meet the needs and means of the millions of potential owners. The second lecture backs up to provide an account of the invention of the internal combustion engine, which, like the steam engine, was originally conceived as a stationary source of power but was adapted to use in a vehicle. After a quick survey of the earliest automobiles, the lecture "reads" Ford's design of the Model T, first with respect to its intended user and then with respect to the methods by which Ford could produce it at an affordable price. Appendix I is a version of the second part of the lecture used with general audiences.

Reading

Cowan's book again provides general background for lectures on the origins of consumer society in the move of machinery from the factory to the home.  Nathan Rosenberg's seminal article, "Technological Change in the Machine Tool Industry, 1840-1910", Journal of Economic History 23(1963), 414-443, reveals the characteristics of machine tools that facilitated, or perhaps even made possible, the rapid diffusion of new techniques and levels of precision. The later lectures on software hark back to Rosenberg's interpretation when exploring the models of production informing current software engineering.

Sources

The essays by A.E. Musson, Paul Uselding, and David Hounshell in Mayr and Post's Yankee Enterprise provide accounts, respectively, of the British background, the development of precision instrumentation, and the development of mass production by means of interchangeable parts. In other years, I have used the early chapters of Hounshell's From the American System to Mass Production. Robert S. Woodbury, who first debunked "The Legend of Eli Whitney and Interchangeable Parts" (Technology and Culture 1(1960), 235-254), made a start on a comprehensive history of machine tools in the 19th century, working on a machine-by-machine basis, which he intended as prelude to a history of precision measurement and interchangeable parts. His histories of the gear-cutting machine, grinding machine, lathe, and milling machine, combined in 1972 as Studies in the History of Machine Tools, provide technical details and illustrations. W. Steeds offers a comprehensive, illustrated account in A History of Machine Tools, 1700-1910 (Oxford, 1969); cf. also L.T.C. Rolt, Tools for the Job: A History of Machine Tools (rev. ed. London, 1986), and Chris Evans, Precision Engineering: an Evolutionary View (Bedford: Cranfield Press, 1989). Machine tools caught the particular attention of the 1880 census, for which Charles H. Fitch compiled under the title Report on Power and Machinery Employed in Manufactures (Washington, 1888) an extensive, richly illustrated inventory of the tools then used in American industry. Frederick A. Halsey's classic Methods of Machine Shop Work (NY, 1914) defines the terms and standards of the industry at the turn of the 20th century. The Armington and Syms Machine Shop at Greenfield Village, Henry Ford Museum, in Dearborn is a restoration of a 19th-century production shop, powered by a steam engine through an overhead belt-and-pulley system.

Perhaps the best short account of the internal combustion engine is Lynwood Bryant's "The Origin of the Automobile Engine" (Scientific American, March 1967; repr. in Gene I. Rochlin (comp.), Scientific Technology and Social Change: Readings from Scientific American, San Francisco, 1974, Chap.9), focuses on Otto's development of the four-cycle engine on the basis of a specious notion of "stratified charge". For greater detail, see his two articles, "The Silent Otto", Technology and Culture7(1966), 184-200, and "The Origin of the Four-Stroke Cycle", ibid. 8(1967), 178-198, and for contrast, see his "Rudolf Diesel and His Rational Engine", Scientific American, August 1969 (repr. in Rochlin, Chap.10). On the early development of the automobile, see James J. Flink, America Adopts the Automobile, 1895-1910 (Cambridge, MA, 1970). John B. Rae offers a brief general history in The American Automobile (Chicago, 1965).

Allen Nevins tells the story of the Model T, which realized Ford's vision of a cheap, reliable car for the mass market, in Vol.I of his three-volume Ford: The Times, the Man, the Company (NY, 1954). However, the vehicle tells its own story when viewed through photographs of its multifarious uses, diagrams from the user's manual and parts list, advertisements by suppliers of parts and options, and stories about the "Tin Lizzie". Floyd Clymer's Historical Motor Scrapbook: Ford's Model T (Arleta, CA, 1954) offers an assortment of such materials, along with sections of the Operating Manual and Parts List. Reproductions of the manual and parts list are also available at the Henry Ford Museum in Dearborn. Several companies produced plastic and metal models of the car in varying detail, though nothing beats seeing the car itself, perhaps in the hands of a local antique car buff.

Week 8, Highland Park and the Assembly Line, Ford and the Five-Dollar Day

The first lecture moves from the Model T to the machines Ford designed to produce it and to the organization of those machines in his new assembly-line factory at Highland Park. With the machines in place and the pace of assembly established, Ford faced the problem of keeping increasing numbers of people at work tending the machines and keeping pace with the line. Although most jobs required little or no skill, they did demand sustained attention to repetitive tasks over a continuous period of time. The need to combat a 300% annual turnover among his labor force, combined with $27 million in excess profits in January 1914, induced Ford and his Vice-President James Cousins to introduce the "Bonus Plan", by which the standard wage at Highland Park jumped overnight from $2.30 to $5.00 for an eight-hour day. But the $5 day was only the most striking of Ford's efforts to retain the loyalty of his workers. Through John R. Lee and the Sociological Department, the company had already begun a program of factory outreach, involving itself in the lives of its employees. Although welcomed at first, the essentially paternalistic system led eventually to an oppressive system of control and triggered the union strife of the '30s which erased Ford's earlier benevolence from popular memory.

Reading

Henry Ford spoke for himself (through a ghost writer) in the article on "Mass Production" that appeared in the 13th edition of the Encyclopedia Britannica, and it is instructive, especially given the retrospectively critical stance of current historians, to see how the system looked through his eyes.  Among those historians is Stephen Meyer, whose book is the fullest historical account of the labor policy surrounding the $5 day.

Sources

Ford's Highland Park Plant, built to produce the Model T by his new methods, caught the attention of industrial engineers when it began full assembly-line operation in 1914. As a result, journals of the day offered extensive descriptions and illustrations of the plant. Perhaps the most informative contemporary source, Horace L. Arnold and Fay L. Faurote, Ford Methods and the Ford Shops, began as a series of articles in Engineering Magazine. Faurote, was a member of the Taylor Society and his account looks at Highland Park from the perspective of Scientific Management, especially in its emphasis on the paperwork involved in management of workers and inventory. David Hounshell's account in Chapters 6 and 7 of From the American System to Mass Production draws liberally from the photo collection of the Ford Archives, and the Smithsonian Institution has a short film loop depicting the assembly line in action. Lindy Bigg's The Rational Factory: Architecture, Technology, and Work in America's Age of Mass Production (Baltimore, 1996) analyzes the Ford plants as buildings in motion.

Allen Nevin's biography of Ford: The Man, the Times, and the Company is a useful counterbalance to Meyer's interpretation of the motives behind the $5 day. Eli Chinoy's Automobile Workers and the American Dream (Garden City, 1955) pursues the long-term effects of Ford's system of production on the workers it employed.

Week 9, Taylorism and Fordism, Mass Distribution: The Consumer Society

Since at the time Ford's methods were often associated with those proposed by Frederick W. Taylor under the name of "task management" or, more popularly, "Scientific Management", the second lecture examines Taylor's career as a consultant on shop-floor organization and the nature and scope of his Principles of Scientific Management, published at just about the time Ford was laying out Highland Park. In the end, the lecture emphasizes the quite different assumptions of the two men concerning the role of the worker in machine production and hence the essential incompatibility of Taylor's principles with Ford's methods of production. Nonetheless, as Taylor's followers found when they visited Highland Park, in matters of supervision and inventory control the two systems had much in common.

The $500 car (which by 1924 cost $290) was the most exact of a host of machines built for and sold to a new middle-class consumer society, which, through the $5 day, came to include the automobile worker. Mass production went hand-in-hand with mass distribution; indeed, the former made no sense without the latter. The second lecture presents a survey of the developments in communication, transportation, and management that made possible the patterns of consumption and the concomitant restructuring of society and politics noted by the Lynds in Middletown (Muncie, IN) in 1924.

Reading

Cowan provides an overview of the newly emerging consumer society, and selections from Robert S. and Helen Lynd's classic sociological study of Middletown offers a contemporary glimpse of that society as it was taking shape.

Sources

The best source for understanding Frederick W. Taylor is his own tract, The Principles of Scientific Management (NY, 1911; repr. 1939, 1947, 1967). The most exact and complete biography is Robert Kanigel's The One Best Way: Frederick Winslow Taylor and the Enigma of Efficiency (NY, 1997). Daniel Nelson's study of Taylor, Frederick W. Taylor and the Rise of Scientific Management (Madison, 1980) complements his earlier account of factory management, while Samuel Haber's Efficiency and Uplift: Scientific Management in the Progressive Era, 1890-1920 (Chicago, 1964) places Taylor in the context of the conservation and efficiency movements of turn-of-the-century America. Hugh G.J. Aitken's Taylorism at Watertown Arsenal: Scientific Management in Action, 1908-1915 (Cambridge, MA, 1960) remains a classic study of the development and implications of Taylor's ideas. While Ford himself perhaps could honestly claim not to have known about Taylor's methods, Hounshell shows that many of the people who worked with him in designing the assembly line and organizing the Ford workers did have backgrounds in Scientific Management. Alfred D. Chandler's magisterial The Visible Hand: The Managerial Revolution in American Business (Cambridge, 1977) puts Taylor and Ford in the context of the development new managerial practices in American at the turn of the century. Judith A. Merkle's Management and Ideology: The Legacy of the International Scientific Management Movement (Berkeley : University of California Press, 1980), Stephen P. Waring's Taylorism Transformed : Scientific Management Theory Since 1945 (Chapel Hill : University of North Carolina Press, 1991), and Nelson's A Mental Revolution: Scientific Management Since Taylor (Columbus: Ohio State University Press, 1992) bring the story down to the present.

The second lecture draws heavily from Alfred D. Chandler, Jr., The Visible Hand: The Managerial Revolution in American Business (Cambridge, 1977) and Daniel J. Boorstin, The Americans: The Democratic Experience (NY, 1973).  For a more recent, richly illustrated account, see Susan Strasser, Satisfaction Guaranteed:  The Making of the American Mass Market (Washington DC, 1889).

Week 10, From the Difference Engine to ENIAC; From Boole to EDVAC

The first lecture traces the dual roots of the stored-program digital electronic computer viewed as the combination of a mechanical calculator and a logic machine. Taking the first designs as both flexible and inchoate, the second examines the groups of people who gave it shape by incorporating it into their enterprises. In particular, the lecture looks at the means by which the nascent computer industry sold the computer to business and industry, thus creating the machine by creating demand for it.

Reading

Aspray and Campbell-Kelly provide perhaps the best historical account of the computer, emphasizing the environments into which it was introduced when it was new and the role they played in shaping its development.

Sources

Another exact history is Paul Ceruzzi's A History of Modern Computing (Cambridge, MA, 1998), which provides considerable detail about the development of the industry. For the development of the machine itself, Stan Augarten's Bit by Bit: An Illustrated History of Computers is a generally reliable, engagingly written, and richly illustrated survey from early methods of counting to the PC and supercomputer. Michael R. Williams's A History of Computing Technology (Prentice-Hall, 1985) takes a more scholarly approach to the same material but emphasizes developments before the computer itself. In 407 pages of text, the slide rule appears at p.111 and ENIAC at p.271; coverage ends with the IBM/360 series. Although once useful as a general account, Herman Goldstine's still oft-cited The Computer from Pascal to Von Neumann (Princeton, 1973) retains its value primarily for its personal account of the ENIAC project and of the author's subsequent work at the Institute for Advanced Study in Princeton.

Martin Davis' The Universal Computer:  The Road from Leibniz to Turing (New York, 2000; paperback under the title Engines of Logic, 2001) has recently joined Sybille Krämer's Symbolische Maschinen: die Idee der Formalisierung in geschichtlichem Abriss (Darmstadt, 1988) in relating the origins of the computer in the development of mathematical logic. William Aspray's dissertation, "From Mathematical Constructivity to Computer Science: Alan Turing, John von Neumann, and the Origins of Computer Science" (Wisconsin, 1980), covers the period from Hilbert's Program to the design of EDVAC, as does Martin Davis's "Mathematical Logic and the Origin of Modern Computers", in Esther R. Phillips (ed.), Studies in the History of Mathematics (MAA Studies in Mathematics, Vol.26; NY, 1987). The nineteenth-century background belongs to the history of mathematics and of logic proper, but the scholarly literature in those fields is spotty. Andrew Hodges's biography, Alan Turing: The Enigma (NY, 1983), is a splendid account of Turing's work and served as the basis for a compelling stage play, Breaking the Code. Aspray's John von Neumann and the Origins of Modern Computing (MIT, 1990) explores in some detail von Neumann's work both in the design and the application of computers.

Those who want to get right down into the workings of the computer should turn to Charles Petzold, Code: The Hidden Language of Computer Hardware and Software (Redmond, WA, 1999). Softer introductions may be found in Alan W. Biermann's Great Ideas in Computer Science: A Gentle Introduction (2nd ed., MIT Press, 1997) and Jay David Bolter's Turing's Man: Western Culture in the Computer Age (Chapel Hill, 1984).

Week 11, The Development of the Computer Industry, The Software Paradox

In keeping with the dual origins of the computer, the development of the industry since the early '50s has two distinct, though related aspects. Through transistors, integrated circuits, and VLSI, computers themselves have increased in power by a factor of 100 every five years, while dropping in price at about the same rate. Rapid progress in the development of hardware has made visionary devices commonplace within a span of five or ten years. IBM, DEC, and Apple represent the successive stages by which computers were transformed from specially designed capital investments to mass-produced consumer items over the span of thirty years.

The software paradox is simply stated: programmers have successfully automated everyone's job but their own. With the commercialization of the computer came the need to provide customers with the programs that matched its power to their purposes, either directly through application programs or indirectly through programming languages, operating systems, and related tools. Both industry and customers soon found themselves hiring and trying to manage large numbers of programmers who had no previous training either in computers or in systems analysis but whose programming skills gave them effective control over their work. To address the resulting issues of productivity and quality control, computer engineers and managers turned to earlier models of production, in particular through automatic programming and the software equivalent of interchangeable parts. So far, efforts to Taylorize or Fordize the production of programs have been unsuccessful. Nonetheless, they testify to the abiding impression that Taylor and Ford have made on American engineering and thus provide firm historical roots to modern technology.

Reading

The choice of Tracy Kidder's The Soul of a New Machine is aimed directly at continuing the theme of technology and the nature of work. In addition to portraying the complex organization on which modern technological development depends, it raises intriguing questions of power and exploitation.

Sources

The development of the computer industry is only now coming under the scrutiny of historians, and most of the current literature stems from journalists. The foremost exceptions are the exact books by Paul Ceruzzi and by William Aspray and Martin Campbell-Kelly, both of which offer a much needed and long awaited survey of the history of the industry from its pre-computer roots to the present. For a review of the state of the field several years ago, see my article, "The History of Computing in the History of Technology", Annals of the History of Computing 10(1988), 113-125 [pdf], updated in "Issues in the History of Computing", in Thomas J. Bergin and Rick G. Gibson (eds.), History of Programming Languages II (NY: ACM Press, 1996), 772-81. The Annals themselves constitute one of the most important sources. Among the most useful accounts are Augarten's Bit by Bit; Kenneth Flamm, Creating the Computer: Government, Industry, and High Technology (Washington, 1988); Katharine Davis Fishman, The Computer Establishment (NY, 1981); Howard Rheingold Tools for Thought: The History and Future of Mind-Expanding Technology (NY, 1985), and Pamela McCorduck, Machines Who Think (San Francisco, 1979). David E. Lundstrom's A Few Good Men from Univac (Cambridge, MA, 1987) provides a critical look at the early industry, while the collaborative effort of Charles J. Bashe, Lyle R. Johnson, John H. Palmer, and Emerson W. Pugh on IBM's Early Computers (Cambridge, MA, 1986) provides an exhaustively detailed account, based on company documents, of IBM's entry into the market and the series of machines up to the 360, which is the subject of a second volume now nearing completion. Paul Freiburger and Michael Swaine's Fire in the Valley: The Making of the Personal Computer (Berkeley, 1984) remains one of the best accounts of the early days of the PC industry.

The history of software remains largely unwritten and must be gleaned from the professional literature.  For overviews see my articles, "The Roots of Software Engineering", CWI Quarterly, 3,4(1990), 325-34 [pdf] and "Software: The Self-Programming Machine", in Atsushi Akera and Frederik Nebeker (eds.), From 0 to 1:  An Authoritative History of Modern Computing (New York: Oxford U.P., 2002), as well as the entry "Software History" in Anthony Ralston et al., Encyclopedia of Computer Science, 4th edition (London, 2000).  For "A Gentle Introduction" to what software is about, see Alan W. Biermann, Great Ideas in Computer Science (Cambridge, MA, 1997).

There is a growing number of personal accounts and reminiscences by computer people.  Among the most thought-provoking and least self-serving are Ellen Ullman, Close to the Machine: Technophilia and Its Discontents (San Francisco, 1997), Richard P. Gabriel, Patterns of Software:  Tales from the Software Community (New York, 1996), and Robert N. Britcher, The Limits of Software:  People, Projects, and Perspectives (Reading, MA, 1999).

Week 12, Working Toward Choices, Where Are We Now?

The computer is only one of several technologies, which, spawned or encouraged by the demands of World War II, rapidly transformed American society in the twenty-five years after 1945, bringing a general prosperity thought unimaginable even before the Depression. With that prosperity came new problems and a growing sense that technology threatened society as much as, or even more than, it fostered. The first lecture reviews the major elements of modern high technology as it has developed since the war, and the second tries to put the issues it raises into the perspective of the course as a whole. In the end, the course has no answers to offer, but only questions that may prove fruitful in seeking them.

Reading

Langdon Winner's "Do Artifacts Have Politics?" argues that indeed they do, that is, that how technologies will be used is part of how they are designed. Although that view does not preclude unintended consequences, it does place responsibility for technologies on the people who create, maintain, and use them. The readings throughout the course offer ample material for putting Winner's thesis to the test.

Perhaps the most famous example discussed by Winner is the story of Robert Moses and the parkway bridges designed too low to allow access by bus to Jones Beach.  The story, taken from Robert Caro's well known biography of Moses, turns out on close examination to be inaccurate in several details.  For a discussion of the story and its use by Winner, see Bernward Joerges, "Do Politics Have Artefacts?" Social Studies of Science 29,3(1999), 411-31 [JSTOR], Steve Woolgar and Geoff Cooper, "Do Artefacts Have Ambivalence? Moses' Bridges, Winner's Bridges, and Other Urban Legends in S&TS", Ibid., 433-49 [JSTOR], and Joerges, "Scams Cannot Be Busted: Reply to Cooper and Woolgar", Ibid., 45-57 [JSTOR]

Sources

Fred C. Allvine and Fred A. Tarpley, Jr. provide a brief survey of the major changes in the U.S. economy during the quarter century following World War II in The New State of the Economy (Cambridge, MA, 1977). Peter Drucker, The Age of Discontinuity (NY, 1968, 2nd ed. 1978), and John Kenneth Galbraith, The New Industrial State (NY, 1967, 3rd ed., 1978), lay particular emphasis on new technologies and their effect on our economic institutions, while Seymour Melman, Profits without Production (NY, 1983), and Michael Piore and Charles Sabel, The Second Industrial Divide: Possibilities for Prosperity (NY, 1984), question how positive those effects have been.

Winner's Autonomous Technology: Technics-out-of-Control as a Theme in Political Thought (Cambridge, MA, 1977) is a fully developed statement of the issues discussed in his article. Literature on the political assumptions underlying technology abound; indeed, some of it provoked this course in the first place. Among the more exact and more interesting are David F. Noble, Forces of Production: A Social History of Industrial Automation (NY/Oxford, 1986), Walter A. McDougall, ...The Heavens and the Earth: A Political History of the Space Age (NY 1985), Shoshana Zuboff, In the Age of the Smart Machine: The Future of Work and Power (NY, 1988),  Paul N. Edwards, The Closed World: Computers and the Politics of Discourse in the Cold War (Cambridge, MA: MIT, 1996), and Gene I. Rochlin, Trapped in the Net : The Unanticipated Consequences of Computerization (Princeton: PU Press, 1997). For the history of the Internet, see Janet Abbate, Inventing the Internet (Cambridge, MA: MIT Press, 1999)

As of 1996, the Internet and the World Wide Web, especially when grouped together under the concept of the National Information Superhighway, have become prime subjects for political and cultural analysis along the lines suggested by this week's readings and by the interpretive themes of the course. An article written twenty five years ago retains its pertinence. In "The Mythos of the Electronic Revolution" (American Scholar 39(1969-70), 219-241, 395-424), James W. Quirk and John J. Carey place the claims of the 1930s for a revolution of electrical power in the framework of Leo Marx's Machine in the Garden and showing how the notions of the "electronic village" or the "technotronic era" fashionable in the last '60s are similarly 20th-century evocations of the middle landscape. Cyberspace would seem to be the latest.

Reading Period

Albert Borgmann's Holding Onto Reality: The Nature of Information at the Turn of the Millennium  is one of a spate of exact books attempting to place the "information revolution" into some sort of historical perspective.  Others include: Michael E. Hobart and Zachary S. Schiffman, Information Ages: Literacy, Numeracy, and the Computer Revolution (Baltimore, 1998); James J. O'Donnell, Avatars of the Word:  From Papyrus to Cyberspace (Cambridge, MA, 1998). Less historical but nonetheless suggestive are John Seely Brown and Paul Duguid, The Social Life of Information (Boston, 2000) and Jay David Bolter and Richard Grusin, Remediation: Understanding New Media (Cambridge, MA, 1999).  Books on the Internet abound; perhaps the most important is Lawrence Lessig's Code and Other Laws of Cyberspace (New York, 1999), followed now by his The Future of Ideas: The Fate of the Commons in a Connected World (New York, 2001).

Sample Examination Questions

The lectures and readings of this course tend to emphasize the ways in which inventors, entrepreneurs, and workers looked upon machines as determinants of their socio-economic life.  At several points, however, we have caught glimpses of inventors and onlookers who have seen in machines expressions, either direct or symbolic, of the ideals and aspirations of their society.  Using specific examples over the range of the course, explore the role of the creative and esthetic imagination in determining the ways societies shape and respond to their technologies.

"Although historians often speak of 'the industrial revolution' and 'the rise of the factory system' in the singular, there have in reality been not one but three such revolutions.  The first was the mechanization of the textile industry in the late 18th and early 19th centuries, the second was the mechanization of the consumer durables industry in the middle-to-late 19th century through the 'American System', and the third was the growth of 'rational management' in the early 20th century.  In each of these 'revolutions' the technological basis, the economic objective, and the impact upon labor were completely different, and it is historically false to see the three as phases of a single development, as history texts usually do."  Discuss critically.

"But, as is common knowledge, an invention rarely spreads until it is strongly felt to be a social necessity, if only for the reason that its construction then becomes a matter of routine."  The eminent French historian, Marc Bloch, made this general claim in an article about the watermill in the Middle Ages.  Discuss its validity with reference to the automobile and the computer.

You have read examples of two analyses of the character and effects of industrialization in England in the early nineteenth century, namely selections from Babbage's On the Economy of Machines and Manufactures and a central chapter of Marx's Capital.  How well does each analysis explain the course of the "Lowell Experiment", as described by Kasson, from its initial inspiration to its eventual outcome in the 1840s?

The early textile factories were called "mills".  Given the traditional technical system denoted by the term, what does that usage tell us about initial perceptions of the factory?  In what ways was the usage deceptive from the outset?  Use specific examples to illustrate your analysis.

"One can argue that medieval Europe was a highly sophisticated technological society of a certain sort, involved in a fairly rapid, continuing process of sociotechnical change. One does not have to wait for the industrial revolution ... to see political societies remolded in response to technical innovation." Drawing on specific evidence from the lectures and readings so far, either make that argument or refute it.

"The factory was more than just a larger work unit. It was a system of production, resting on a characteristic definition of the functions and responsibilities of different participants in the productive process." (David Landes) Discuss Landes's assertion with reference to Harpers Ferry Armory, Ford's Highland Park Plant, and Data General's Westborough facility.

Ford's Sociological Department was a formal system of social control in an industrial setting. Compare and contrast this system with the forms of control at work in the Lowell textile mills and in the Eagle project at Data General.

"We do not use technologies so much as live them." Use Meyer's The Five-Dollar Day and the Lynds's Middletown to discuss this claim by Langdon Winner.
 
 

Thu, 23 Dec 2021 02:31:00 -0600 text/html https://www.princeton.edu/~hos/h398/398sources.v-1
Killexams : Smart Manufacturing Platform Market 2022 Top Countries Data, Analysis and Growth Forecast to 2028- Microsoft, IBM, PTC, SAP SE, Hitachi

Global Smart Manufacturing Platform Market by Types, Application Outlook, Companies, and By Geography (Asia-Pacific, North America, Europe, South America, and the Middle East and Africa), Segments, and Forecasts from 2022-2028

The Smart Manufacturing Platform market research combines a thorough examination of current and future potential to forecast future development in the Smart Manufacturing Platform industry. This research examines the Smart Manufacturing Platform industry from top to bottom, covering enabling technologies, major trends, market dynamics, difficulties, standardization, regulatory environment, potential, future guidance, value network, ecosystem participant profiles, and approaches. This research, which provides industry chain structure, business strategies, and ideas for new project investments, is a significant source of support for organizations and individuals. The Smart Manufacturing Platform Market research also examines key market inhibitors and motivators in both quantitative and qualitative ways to provide reliable information to end-users.

Get a Full PDF sample Copy of the Report: (Including Full TOC, List of Tables and Figures, and Chart) at https://www.eonmarketresearch.com/sample/93002

Smart Manufacturing Platform Market Segmentation

Smart Manufacturing Platform Market Competitor Outlook, this report covers– Microsoft, IBM, PTC, SAP SE, Hitachi, Schneider Electric SE, Siemens AG, ABB, Emerson Electric, Fujitsu, Accenture, Robert Bosch GmbH, Oracle, Cisco Systems, Rockwell Automation, Atos SE, C3 IoT, Telit Communications, Software AG, Seebo Interactive, QiO Technologies, Altizon Systems, Losant, Litmus Automation, Flutura

Product Type Outlook (Revenue, USD Billion; 2022– 2028)– Device & Connectivity Management, Application Enablement

Application/ End-user Industry Outlook (Revenue, USD Billion; 2022– 2028)– Energy & Power, Aerospace & Defense, Chemicals & Materials, Pharmaceutical, Metals & Mining, Electronics, Oil & Gas, Others

Region Outlook (Revenue, USD Billion; 2022– 2028)
● North America
o US
o Canada
o Mexico
● Europe
o Germany
o UK
o France
o Italy
o Spain
o Benelux
o Rest of Europe
● Asia Pacific
o China
o India
o Japan
o South Korea
o Rest of Asia Pacific
● Latin America
o Brazil
o Rest of Latin America
● Middle East and Africa
o Saudi Arabia
o UAE
o South Africa
o Rest of Middle East and Africa

Inquiry Smart Manufacturing Platform Market Report at https://www.eonmarketresearch.com/enquiry/93002

A Smart Manufacturing Platform Market report includes a thorough market analysis as well as input from industry experts. Smart Manufacturing Platform Market type, organization size, on-premises distribution, end-users organization type, and accessibility in locations such as North America, South America, Europe, Asia-Pacific, and the Middle East and Africa are all factors considered when creating this worldwide Smart Manufacturing Platform market study. The top-of-the-line market research analysis brings a massive market into sharp focus. Smart Manufacturing Platform Market report research works assist in evaluating various crucial aspects such as development in a growing market, the triumph of a current strategy, and share of the Smart Manufacturing Platform market development.

The following are some of the reports’ most important features:
1. Detailed market study of the Smart Manufacturing Platform market
2. Changing industry competitive landscape
3. Detailed competitive categorization
4. Historical, current, and forecast market size in quantity and value
5. exact industry trends and developments
6. The Smart Manufacturing Platform Market’s Competitive Landscape Key Players’ Strategies and Product Portfolio
7. Segments/Regions Showing Promising Growth a Neutral Perspective on the Smart Manufacturing Platform’s Performance

Click Here to download Free sample Report (Get Detailed Analysis in PDF – 151 Pages)

A section from the table of contents is as follows:
● The market overview covers the research scope, major manufacturers included market segments by type, Smart Manufacturing Platform market segments by application, study objectives, and years analyzed.
● The global Smart Manufacturing Platform market competitiveness is assessed in terms of price, revenue, sales, and market share by the organization, market rate, competitive situations, and current developments, expansions, acquisitions, mergers, and sales volumes of top enterprises.
● The major players in the international Smart Manufacturing Platform market are characterized by sales area, key products, operating income, revenues, price, and manufacturing.
● In this section of the Smart Manufacturing Platform market study, the authors focused on manufacturing and supply value predictions, key manufacturer forecasts, and productivity and production cost estimates by category.

Browse Complete Smart Manufacturing Platform Market Report Details with Table of contents and list of tables at https://www.eonmarketresearch.com/smart-manufacturing-platform-market-93002 

About: Eon Market Research (EMR) is a specialized market research, analytics, and solutions company, offering strategic and tactical support to clients for making well-informed business decisions. We are a team of dedicated and impassioned individuals, who believe strongly in giving our very best to what we do and we never back down from any challenge. Eon Market Research offers services such as data mining, information management, and revenue enhancement solutions and suggestions. We cater to industries, individuals, and organizations across the globe, and deliver our offerings in the shortest possible turnaround time.

Contact: 8345 NW 66th St Miami, Florida, Zip – 33195 United States; Email: [email protected]

Mon, 11 Jul 2022 02:15:00 -0500 Newsmantraa en-US text/html https://www.digitaljournal.com/pr/smart-manufacturing-platform-market-2022-top-countries-data-analysis-and-growth-forecast-to-2028-microsoft-ibm-ptc-sap-se-hitachi
Killexams : Startups News No result found, try new keyword!Showcase your company news with guaranteed exposure both in print and online Ready to embrace the fast-paced future we’re all experiencing? Join us for tech… Outstanding Women in Business are ... Sun, 07 Aug 2022 12:41:00 -0500 text/html https://www.bizjournals.com/news/technology/startups Killexams : Human Resource Management Market Outlook 2022 Industry Share, Growth, Drivers, and Forecast Research Report 2030

The MarketWatch News Department was not involved in the creation of this content.

Jul 28, 2022 (Alliance News via COMTEX) -- Report Ocean published the latest research report on the Human Resource Management market. In order to comprehend a market holistically, a variety of factors must be evaluated, including demographics, business cycles, and microeconomic requirements that pertain precisely to the market under study. In addition, the Human Resource Management market study demonstrates a detailed examination of the business state, which represents creative ways for company growth, financial factors such as production value, key regions, and growth rate.

The global human resource management market will grow at a CAGR of around 9% during the forecast period 2019-2025.

Report Title: Global Human Resource Management Market By Component (Software [Core HR’ Recruitment’ Workforce Management’ Talent Management’ Payroll’ Learning & Development’ and Others] and Services [Integration & Implementation’ Support & Maintenance’ and Consulting])’ By Organization Size (MSMEs and Large Enterprises)’ By Deployment Type (On-premise and On-cloud)’ and By Region (North America’ Europe’ APAC’ and RoW) – Global Forecast up to 2025

This market research report includes a detailed segmentation of the global human resource management market by component (software [core HR’ recruitment’ workforce management’ talent management’ payroll’ learning & development’ and others] and services [integration & implementation’ support & maintenance’ and consulting])’ by organization size (MSMEs and large enterprises)’ by deployment type (on-premise and on-cloud)’ and by region (North America’ Europe’ APAC’ and RoW). The market research report identifies SAP’ Oracle’ Workday’ ADP’ Microsoft’ IBM’ Kronos’ Talentsoft’ Sage’ and Gusto as the major vendors operating in the global human resource management market.

Request To download Free sample of This Strategic Report:-https://reportocean.com/industry-verticals/sample-request?report_id=IR173

Overview of the Human Resource Management Market
Report ocean market research report predicts that the global human resource management market will grow at a CAGR of around 9% during the forecast period 2019-2025. The demand for HRM solutions is increasing due to several factors’ including enhancing employee performance and understanding how an organization culture is impacting workforce productivity. Reducing the employee turnover rate is also one of the factors boosting the adoption of human resource management solutions. Globally’ organizations are facing constant challenges in managing their multigenerational workforce and understanding employee expectations. HR departments in large enterprises have become more strategic by using HRM software.

HR personnel interface with every employee of an enterprise and face several challenges in managing workforce when it comes to a large number of employees. Traditional HR processes included only the employee working in an organization; but with the increasing trend of mobility and IoT’ the mobile workforce is increasingly gaining popularity. Employees are now able to work remotely’ which brings several challenges in terms of managing the mobile workforce. Human resource management solutions are helping the enterprises in managing the workforce efficiently by providing access to payroll and other HR-related data through their devices. HRM solutions are driving business value by enhancing the employee experience and employee retention rate. More and more enterprises are investing in human resource management solutions and services for managing their human capital and enhancing ROI.

According to the human resource management industry analysis’ North America accounts for the largest share of the global human resource management market in 2019. Drivers supporting the growth of this market in North America include the presence of major vendors’ i.e.’ Oracle’ Workday’ ADP & IBM’ and growing technological advancements. Asia Pacific is expected to witness the fastest growth rate during the forecast period due to the increasing number of enterprises adopting HRM solutions for optimizing their HR processes. Enterprise’s HR departments in the APAC region are also implementing human resource management solutions for making more data-driven decisions.

SPECIAL OFFER (Avail an Up-to 30% discount on this report:-https://reportocean.com/industry-verticals/sample-request?report_id=IR173

Human Resource Management Market Research Competitive Analysis and Key Vendors
The report covers and analyzes the global human resource management market. Major vendors across different verticals are planning for high investments in this market’ and as a result’ the human resource management market is expected to grow at an impressive rate in the coming years. The key players in the market are adopting various organic as well as inorganic growth strategies’ such as mergers & acquisitions’ collaborations & partnerships’ joint ventures’ and few other strategies’ to be in the strong position in the market.

Few of the Key Vendors in the Human Resource Management Market Research:
> SAP
> Oracle
> Workday
> ADP
> Microsoft
> IBM
> Kronos
> Talentsoft
> Sage
> Gusto
Key vendors’ including SAP’ Oracle’ ADP’ and IBM are already offering human resource management solutions and are investing in R&D for innovations. Cloud-based HRM solution is one of the key strategies followed by vendors as it is more energy-efficient and reduces IT & labor costs.
There are numerous other vendors that have been studied based on the portfolio’ geographical presence’ marketing & distribution channels’ revenue generation’ and significant investments in R&D for analysis of the entire ecosystem.

Human Resource Management Market Research By Component
> Software
o Core HR
o Recruitment
o Workforce Management
o Talent Management
o Payroll
o Learning & Development
o Others
> Services
o Integration & Implementation
o Support & Maintenance
o Consulting
The software segment is estimated to hold the largest market share’ and the services segment is expected to witness significant growth at the highest CAGR during the forecast period 2019-2025′ for offering best suitable software to enterprises as per their business needs.

Access full Report Description, TOC, Table of Figure, Chart, etc. @:-https://reportocean.com/industry-verticals/sample-request?report_id=IR173

Human Resource Management Research By Organization Size
> MSMEs
> Large Enterprises
The large enterprises segment is estimated to hold the largest share in the human resource management market’ and the MSMEs segment is expected to grow at the highest CAGR during the forecast period 2019-2025.

Human Resource Management Market Research By Deployment Type
> On-premise
> On-cloud
The on-premise deployment type is estimated to hold the largest share in the human resource management market’ and the on-cloud segment is expected to grow at the highest CAGR during the forecast period 2019-2025.

Human Resource Management Market Research Benefits
The report provides an in-depth analysis of the global human resource management market. Enterprises are adopting human resource management solutions for reducing attrition rate and enhancing employee engagement as well as productivity. HRM solutions offer a more holistic approach toward employee management by focusing on workforce productivity and accuracy. The report discusses the market in terms of software’ services’ organization size’ deployment type’ and regions. Further’ the report provides details about the major challenges impacting the market growth.

Query or Customization Before Buying, Visit @:-https://reportocean.com/industry-verticals/sample-request?report_id=IR173

Region/Country Cover in the Report

North America’ Europe’ APAC’ and RoW

Key Players Covered in the Report

SAP’ Oracle’ Workday’ ADP’ Microsoft’ IBM’ Kronos’ Talentsoft’ Sage’ and Gusto

Table of Content

Market Overview
Market Dynamics
Associated Industry Assessment
Market Competitive Landscape
Analysis of Leading Companies
Market Analysis and Forecast, By Product Types
Market Analysis and Forecast, By Applications
Market Analysis and Forecast, By Regions
Conclusions and Recommendations
Appendix

Access Full Report, here:- https://reportocean.com/industry-verticals/sample-request?report_id=IR173

About Report Ocean:
We are the best market research reports provider in the industry. Report Ocean believes in providing quality reports to clients to meet the top line and bottom line goals which will boost your market share in today's competitive environment. Report Ocean is a 'one-stop solution' for individuals, organizations, and industries that are looking for innovative market research reports.

Get in Touch with Us:
Report Ocean:
Email:sales@reportocean.com
Address
: 500 N Michigan Ave, Suite 600, Chicago, Illinois 60611 - UNITED STATES Tel: +1 888 212 3539 (US - TOLL FREE)
Website:https://www.reportocean.com/

COMTEX_411136785/2796/2022-07-28T01:19:29

The MarketWatch News Department was not involved in the creation of this content.

Wed, 27 Jul 2022 13:19:00 -0500 en-US text/html https://www.marketwatch.com/press-release/human-resource-management-market-outlook-2022-industry-share-growth-drivers-and-forecast-research-report-2030-2022-07-28
Killexams : Security Orchestration Automation and Response (SOAR) Market Forecast With Deep Analysis 2021 2027 | IBM, FireEye, Cisco Systems, Rapid7

Security Orchestration Automation and Response

SOAR (security orchestration, automation and response) is a compatible software stack that allows an organization to collect data on security threats and respond to security events without human assistance. Security orchestration is increasingly extending beyond data collection and retention to include analysis of large volumes of cloud and IT application data to assess sophisticated responses to threats detected. Globally, this has increased the adoption of security orchestration automation and response.

A2Z Market Research announces the release of the Security Orchestration Automation and Response (SOAR) Market Research report, which is a unique record that gives a total judgment of the market in terms of future patterns, development factors, creation volume, CAGR estimation, net revenue, cost, and industry-approved market data. Security Orchestration Automation and Response (SOAR) report assists the people and the market contenders predict future gainfulness and settling on basic business development choices. It gives the total picture of opportunities for the future that are gainful for new as well as already established players in the Security Orchestration Automation and Response (SOAR) market.

Get sample Report with Latest Global Industry Analysis: www.a2zmarketresearch.com/sample?reportId=602232

This report decides the Security Orchestration Automation and Response (SOAR) market value and the development rate dependent which depends on the most exact industry news, trending patterns, and various advancements. It additionally comprises a profound investigation of the Security Orchestration Automation and Response (SOAR) market and contending situation alongside the SWOT examination of the outstanding contenders.

The report includes information on the Security Orchestration Automation and Response (SOAR) markets most prominent key players. It presents a gigantic amount of market data, compiled using myriad primary and secondary research practices. The data in this report has been reduced on a business basis using various systematic methods. Players enlisted in report are IBM, FireEye, Cisco Systems, Rapid7, Splunk, Swimlane LLC, Tufin, ThreatConnect, Demisto(Palo Alto Networks), DFLabs, LogRhythm, Siemplify, Resolve Systems, CyberSponse, Exabeam,

Overview of the market :

For a comprehensive analysis, the Security Orchestration Automation and Response (SOAR) market is segmented by product type, region, and application. Due to its regional focus, the market is alien to North America, Europe, Asia-Pacific, the Middle East, and Africa as well as Latin America. Major companies are working on distributing their products and services across different regions. In addition, procurements and associations from some of the leading organizations. All of the factors intended to drive the global marketplace are examined in depth. Finally, the research findings and conclusion are thoroughly addressed.

Get Enquired For Customized Report: www.a2zmarketresearch.com/enquiry?reportId=602232

The report offers the segmentation of the market on the basis of the type and applications.

The segmentation research conducted in this report aids market players in boosting productivity by focusing their organizations efforts and assets on Security Orchestration Automation and Response (SOAR) market segments that are most beneficial to their goals.

By Type

On-premises
Cloud

By end-users

Professional Services
Managed Services

Regional coverage:

The report covers global as well as regional Security Orchestration Automation and Response (SOAR) market focusing on the regions:

? North America

? South America

? Asia and Pacific region

? Middle east and Africa

? Europe

Key Factors Impacting Market Growth:

  • Security Orchestration Automation and Response (SOAR) Market dynamics scenario, along with growth opportunities of the market in the years to come
  • Increasing opportunities through improved research, computation, and data analysis performances
  • Estimates 2022-2027 Security Orchestration Automation and Response (SOAR) Market development trends with the exact trends and SWOT analysis
  • Convergence of data with accuracy and high speed
  • Regional and country-level analysis integrating the demand and supply forces that are influencing the growth of the Security Orchestration Automation and Response (SOAR) market.
  • Comprehensive company profiles covering the product offerings, key financial information, exact developments, SWOT analysis, and strategies employed by the major Security Orchestration Automation and Response (SOAR) market players

Buy Exclusive Report With Great Discount: www.a2zmarketresearch.com/checkout/602232/single_user_license

Contact Us:

Roger Smith

1887 Whitney Mesa

Dr. Henderson , NV 89014

A2Z Market Research

[email protected]

+1 775 237 4147

Related Report-

EV IGBT Market Research

Dispositivos de cirugia de fibrilacion auricular Analisis en profundidad del mercado con los principales actores clave:Johnson & Johnson, Abbott

Smart Connected Cooking Appliances Market by 2029

Le marche des velos electriques connait une croissance enorme pour la nouvelle normalite

Prodotti cosmetici colorati Prodotti del settore di mercato e aziende top dal 2022 al 2027

Automotive Powertrain Sensors Market Worldwide Industry Analysis, Future Demand and Forecast till 2029

Men Leather Shoes Market Is Expected to Boom

Load Bank Rental Market Report Covers Future Trends

Private Bus Service Market Is Expected to Boom

Broadcast Scheduling Software Market Recovery and Impact Analysis Report

Video Production Company Services Market Recovery and Impact Analysis Report

comtex tracking

COMTEX_408769533/2769/2022-06-16T05:15:15

Wed, 15 Jun 2022 21:17:00 -0500 A2Z Market Research en-US text/html https://www.digitaljournal.com/pr/security-orchestration-automation-and-response-soar-market-forecast-with-deep-analysis-2021-2027-ibm-fireeye-cisco-systems-rapid7
Killexams : What Big Data Means for Your Small Business

The internet has only been around for three decades, but in that relatively short time, it’s become one of the most important tools at our collective disposal. As a small business owner, you can use it to collect data that helps you make informed business decisions, run predictive analytics for future sales, and enhance the customer experience.

All of those functions are the result of big data. By learning how to digest and use it, your small business can turn valuable insight into action.

What is big data?

At its core, big data is what it sounds like. Thanks to advances in technology, we can collect and understand massive and complex data sets that stream in at an incredible rate. Since these large data sets can come from a wide range of sources at a volume that humans can’t comprehend, we rely on advanced data processing software to make that data usable.

Sites like Internet Live Stats make it easier to visualize big data and the speed at which an insane amount of information flows through the internet. For instance, ILS estimates that 100.5TB of internet traffic, 85,836 Google searches and 9,139 tweets are sent in a single second.

Big data comes from more sources than just the internet, though. Your car’s onboard computer collects thousands of data points about your driving habits that the manufacturer can use to determine future changes to their cars, while insurance providers can use that same data to adjust your rates.

“Modern big data tools allow us to quickly analyze the outcomes of the past and the state of the present to decide what action would be the most effective in a particular situation,” said Ivan Kot, senior manager at Itransition.

Through the use of such a tool, Kot said, the kind of data that flows through an external source (like the internet) or an internal source (like in-house call centers and website logs) can help small businesses predict outcomes, prevent fraud and drive innovation.

How does big data work?

It may help to understand big data in terms of commercial fishing. If you’re trying to run a business by being the only fisherman standing on the side of a stream, you’re not going to yield a lot of fish. However, if you have a fleet of boats, each with large traps and wide nets, you will get plenty of fish of various species. Big data software is like that fleet of boats, and the fish are all the different types of data that we generate every day.

Once collected, the data is analyzed by the businesses utilizing big data techniques. This analysis allows a data scientist to understand a multitude of ways a company can be more efficient and increase profits. Big data works for more than just consumer needs – the medical field also utilizes such data to better predict the spread of disease.

How businesses use big data

“Businesses use big data to get insights on a number of things, including customer patterns and behaviors – most commonly, purchasing behaviors,” said Jack Zmudzinski, senior associate at Future Processing. “The reason that big data is so vital for businesses is that it can help to identify new growth opportunities and even new industries through examination of customer information.”

A data scientist can use big data to “provide context via queries to identify insights and results from the data. Automation and workflow tools would then automate the actions based on the data,” according to James Ford, who holds a Ph.D. in data science and is the co-founder of AutoBead.

“Traditionally, the types of technology used by those investing in big data initiatives included database types such as SQL or NoSQL, which were connected using an enterprise service bus (database and endpoint integrations) that standardized the data and allowed it to work together,” Ford said. “Large-scale data processing solutions such as Apache Hadoop or Databricks enable large-scale data processing and analysis.”

Thanks to the advancement of cloud computing, Ford said, database software like Microsoft Azure’s Cosmos DB can house multiple database types in a single database. Because of that, teams “no longer need to invest in expensive and complicated integration systems, as all data exists in one location, separated by security policies and logic rather than APIs and distance.”

Businesses can use big data in the following ways:

Understand customer behavior

Big data is highly useful for studying customer behavior. Marketers collect insights about customers from big data and then work their findings into future campaigns. Big data allows marketers to know customer interests and buying habits to determine what type of products and services are more likely to increase engagement.

Big data also provides details about how your customers make purchases. You can determine how long a customer takes to complete a purchase and how many times a consumer visits your website before they make a purchase.

Improve productivity through automation

Productivity levels increase when the process of automation is employed. Automation reduces the number of responsibilities placed on employees and frees them up for more sophisticated roles in an organization. With automation, human error is no longer a factor, meaning fewer mistakes can be made.

Implement risk management

With big data, according to Reciprocity, you can extract pertinent information to mitigate asset risks. For example, you can add vendors into a big data software program to determine the operational risk for each selection. Predictive analysis will let you know what vendors are safer than others to support. The goal would be to choose the option with the lowest risk and the biggest opportunity for reward.

Understand the competition

Big data permits a way to research the competition and find out what types of marketing campaigns are working for them. According to legal firm Bird & Bird, there has been some discussion about the use of big data and how it applies to competition laws. Be sure that your collection of data doesn’t violate competition laws. As an example, big data mining may not be permitted if the information has been used to acquire disadvantaged companies.

Identify trends

Before you have an established customer base, you need to attract clients by knowing what is popular in the market right now. Identifying trends is a time-sensitive process. Luckily, with big data, trends can be identified in real time.

Streamline HR

With big data, many standard human resource tasks can be performed more efficiently. For instance, staff can determine the future needs of the organization and make well-researched hiring decisions. The hiring process can also be improved, since big data can mine employment records, social media profiles, and resumes for potential new hires to provide you a big picture before making any final decisions.

Improve marketing tasks

Marketing departments can use big data to handle advertising on various mediums. Automated ad campaigns may increase engagement because ads can be shown to customers that fit a very specific profile. Marketing professionals also no longer have to spend their time researching preferred ad bids and placements.

Manage your supply chain

Big data is useful for improved communication between members of a supply chain. As an example, a shipping delay could be identified early on and handled quickly and efficiently when all parties are notified. Big data could also alert a business to an ongoing issue within the supply chain like a bottleneck in the process.

The 4 V’s of big data

For data scientists, the concept of big data can be broken down into what they call the “four V’s.” Though some schools of thought say there could be as many as 10 V’s, here are the top four qualifiers that help explain when a data stream becomes a big data stream.

Volume

Thanks to the massive amounts of data available daily, big data tends to take up a large amount of bandwidth and storage. Thousands of bytes can traverse the internet, especially with the widespread use of broadband internet. In fact, according to a survey by IBM, an estimated 40 zettabytes of data will be created this year, marking a 300% increase from 2005. Such vast amounts require big data technology that can handle large data sets.

Velocity

Data flows through the internet at such a speed that if you were to try to parse it on your own, it would be akin to trying to drink from the world’s largest and most powerful water hose. How quickly big data moves increases exponentially based on the number of connections people have with one another, since you’ll likely be sending text messages, liking social media posts and making business agreements with them. The speed at which incoming data needs to be processed is a hallmark of big data.

Variety

Data can be collected from many different sources, such as various social networks, business and consumer transactions, and the proliferation of smart devices that collect data from (often unwitting) users. Similarly, that data can come in different file formats and structures, from stringently categorized database information to real-time file transfers and communications.

Veracity

Inaccurate data is useless data. Furthermore, inaccurate data costs the U.S. economy approximately $3.1 trillion each year, according to the IBM survey. Many business leaders consider big data a gamble, with 1 in 3 respondents saying they “don’t trust the information” big data provides. Nevertheless, big data technology tries to mitigate that problem as much as possible.

Examples of big data

Big data may seem like a nebulous concept that’s hard to visualize, but it’s used so widely in today’s highly connected world that some examples immediately come to mind.

Netflix

Netflix uses big data to gather billions of data points per day. While the most obvious data point would be what each person watches, Ford said the streaming giant uses big data in more focused ways.

“It was recently estimated that Netflix saves $1 billion each year on retention due to its effective use of the data available to them,” he said. “[Netflix can determine] how many minutes a person watched before they stopped. Did they watch more than one episode? What type of content is someone most likely to binge? All these factors drive future production decisions, as well as personalized in-app experiences for users.”

New York Stock Exchange

Big data is also a huge part of the world economy. There’s no greater example of this fact than the New York Stock Exchange, which uses some of the most advanced computing techniques to handle the more than 1.4 billion shares traded each day. That amount of transactional data requires the type of big data solution that can receive, parse, and then transmit the vast data volume that goes in and out of Wall Street in a short time.

Social media

On a more personal note, your social media pages are also part of big data. Though your Twitter profile and Facebook feed could be seen as single data points, the more granular data-covering items, such as your likes, posts, photos, and personal data, are all quantifiable pieces of data that big data can use to understand what you’re likely to buy, what your hobbies are, and even who you’re likely to vote for in the coming election.

How is big data stored and regulated?

Given how “big” big data is, the storage facility of such information must be equally massive, right? Well, it depends on how much money and space your business has available to it. Some of the largest data centers in the world span millions of square feet and house billions of dollars in server equipment. For your small business, though, a server rack with terabytes of storage could be enough.

While you will likely find many companies relying on physical solutions to house their file systems, such as a large data warehouse or large-scale server, other companies have turned to cloud-based storage solutions, like the ones hosted by Google and Amazon Web Services. In both instances, the data can be stored for as long as they have space.

As for the regulation of big data, the federal government in the U.S. has taken a largely hands-off approach to the matter. Instead, existing privacy laws tend to police big data and the corporations seeking to participate in it. Privacy laws in America usually focus on specific industries that deal in sensitive information, such as financial institutions that use nonpublic personal information, which must conform to the Gramm-Leach-Bliley Act. Similarly, healthcare providers that use big data must ensure that the data is secured in compliance with the Health Insurance Portability and Accountability Act (HIPAA).

Jacqueline Klosek, senior counsel at Goodwin Procter LLP, said in a post for Taylor Wessing that companies often alter the data to remove any sensitive identifying information. That step is usually taken before data scientists analyze the data or before it’s sent to a third party.

“Under the GLBA, the definition of ‘personally identifiable financial information’ specifically excludes: ‘information that does not identify a consumer, such as aggregate information or blind data that does not contain personal identifiers such as account numbers, names, or addresses,'” Klosek wrote. “Exceptions to privacy requirements for de-identified data also exist under HIPAA. Companies using data that is strictly anonymized will still need to ensure that their conduct complies with their own privacy policies and contractual obligations, and, of course, will need to ensure that the data at issue is truly anonymous.”‘

As big data gets larger in scope, it’s only a matter of time before legislation reins in the uses of private data. At the state level, some parts of the country have already begun taking action.

Wed, 23 Sep 2020 03:06:00 -0500 en text/html https://www.business.com/articles/what-is-big-data/
Killexams : PPG Industries Stock Bottom-Priced By Portfolio Wealth Builders
Business on Wall Street in Manhattan

Pgiam/iStock via Getty Images

Investment Thesis

21st Century paces of change in technology and rational behavior (not of emotional reactions) seriously disrupts the commonly accepted productive investment strategy of the 20th century.

One required change is the shortening of forecast horizons, with a shift from the multi-year passive approach of buy&hold to the active strategy of specific price-change target achievement or time-limit actions, with reinvestment set to new nearer-term targets.

That change avoids the irretrievable loss of invested time spent destructively by failure to recognize shifting evolution like the cases of IBM, Kodak, GM, Xerox, GE and many others.

It recognizes the progress in medical, communication and information technologies and enjoys their operational benefits already present in extended lifetimes, trade-commission-free investments, and coming benefits in transportation utilization and energy usage.

But it requires the ability to make valid direct comparisons of value between investment reward prospects and risk exposures in the uncertain future. Since uncertainty expands as the future dimension increases, shorter forecast horizons are a means of improving the reward-to-risk comparison.

That shortening is now best attended at the investment entry point by knowing Market-Maker expectations for coming prices. When reached, their updates are then reintroduced at the exit/reinvestment point and the term of expectations for the required coming comparisons are recognized as the decision entry point to move forward.

The MM's constant presence, extensive global communications and human resources dedicated to monitoring industry-focused competitive evolution sharpens MM price expectations, essential to their risk-avoidance roles.

Their roles require firm capital be only temporarily risk-exposed, so are hedged by derivative-securities deals to avoid undesired price changes. The deals' prices and contracts provide a window to MM price expectations.

Information technology via the internet makes investment monitoring and management time and attention efficient despite its increase in frequency.

Once an investment choice is made and buy transaction confirmation is received, a target-price GTC sell order for the confirmed number of shares at the target price or better should be placed. Keeping trade actions entered through the internet on your lap/desk-top or cell phone should avoid trade commission charges. Your broker's internal system should keep you informed of your account's progress.

Your own private calendar record should be kept of the date 63 market days (or 91 calendar days) beyond the trade's confirmation date as a time-limit alert to check if the GTC order has not been executed. If not, then start your exit and reinvestment decision process.

The 3-months time limit is what we find to be a good choice, but may be extended some if desired. Beyond 5-6 months time investments start to work against the process and are not recommended.

For investments guided by this article or others by me target prices will always be found as the high price in the MM forecast range.

Description of Equity Subject Company

"PPG Industries, Inc. manufactures and distributes paints, coatings, and specialty materials worldwide. The company's Performance Coatings segment offers coatings, solvents, adhesives, sealants, sundries, and software for automotive and commercial transport/fleet repair and refurbishing, light industrial coatings, and specialty coatings for signs; and coatings, sealants, transparencies, transparent armor, adhesives, engineered materials, and packaging and chemical management services for commercial, military, regional jet, and general aviation aircraft. The company was incorporated in 1883 and is headquartered in Pittsburgh, Pennsylvania.."

Source: Yahoo Finance

PPG Street analyst estimates

Yahoo Finance

These growth estimates have been made by and are collected from Wall Street analysts to suggest what conventional methodology currently produces. The typical variations across forecast horizons of different time periods illustrate the difficulty of making value comparisons when the forecast horizon is not clearly defined.

Risk and Reward Balances Among NYSE:PPG Competitors

Figure 1

PPG stock hedging forecasts

blockdesk.com

The risk dimension is of actual price draw-downs at their most extreme point while being held in previous pursuit of upside rewards similar to the ones currently being seen. They are measured on the red vertical scale. Reward expectations are measured on the green horizontal scale.

Both scales are of percent change from zero to 25%. Any stock or ETF whose present risk exposure exceeds its reward prospect will be above the dotted diagonal line. Capital-gain-attractive to-buy issues are in the directions down and to the right.

Our principal interest is in PPG at location [2], at the right-hand edge of the competitor crowd. A "market index" norm of reward~risk tradeoffs is offered by SPY at [1]. Most appealing by this Figure 1 view for wealth-building investors is PPG.

Comparing competitive features of Specialty Paint Providers

The Figure 1 map provides a good visual comparison of the two most important aspects of every equity investment in the short term. There are other aspects of comparison which this map sometimes does not communicate well, particularly when general market perspectives like those of SPY are involved. Where questions of "how likely' are present other comparative tables, like Figure 2, may be useful.

Yellow highlighting of the table's cells emphasize factors important to securities valuations and the security PPG of most promising of near capital gain as ranked in column [R].

Figure 2

PPG vs peers detailed comparative data

blockdesk.com

(used with permission)

Why do all this math?

Figure 2's purpose is to attempt universally comparable answers, stock by stock, of a) How BIG the prospective price gain payoff may be, b) how LIKELY the payoff will be a profitable experience, c) how SOON it may happen, and d) what price draw-down RISK may be encountered during its active holding period.

Readers familiar with our analysis methods after quick examination of Figure 2 may wish to skip to the next section viewing price range forecast trends for PPG.

Column headers for Figure 2 define investment-choice preference elements for each row stock whose symbol appears at the left in column [A]. The elements are derived or calculated separately for each stock, based on the specifics of its situation and current-day MM price-range forecasts. Data in red numerals are negative, usually undesirable to "long" holding positions. Table cells with yellow fills are of data for the stocks of principal interest and of all issues at the ranking column, [R].

The price-range forecast limits of columns [B] and [C] get defined by MM hedging actions to protect firm capital required to be put at risk of price changes from volume trade orders placed by big-$ "institutional" clients.

[E] measures potential upside risks for MM short positions created to fill such orders, and reward potentials for the buy-side positions so created. Prior forecasts like the present provide a history of relevant price draw-down risks for buyers. The most severe ones actually encountered are in [F], during holding periods in effort to reach [E] gains. Those are where buyers are emotionally most likely to accept losses.

The Range Index [G] tells where today's price lies relative to the MM community's forecast of upper and lower limits of coming prices. Its numeric is the percentage proportion of the full low to high forecast seen below the current market price.

[H] tells what proportion of the [L] sample of prior like-balance forecasts have earned gains by either having price reach its [B] target or be above its [D] entry cost at the end of a 3-month max-patience holding period limit. [ I ] gives the net gains-losses of those [L] experiences.

What makes PPG most attractive in the group at this point in time is its ability to produce capital gains most consistently at its present operating balance between share price risk and reward at the Range Index [G]. At a RI of 1, today's price is at the bottom of its forecast range, with all price expectations only to the upside. Not our expectations, but those of Market-Makers acting in transaction support of Institutional Investment organizations building the values of their typical multi-billion-$ portfolios. Credibility of the [E] upside prospect as evidenced in the [I] payoff at +18% is shown in [N].

Further Reward~Risk tradeoffs involve using the [H] odds for gains with the 100 - H loss odds as weights for N-conditioned [E] and for [F], for a combined-return score [Q]. The typical position holding period [J] on [Q] provides a figure of merit [fom] ranking measure [R] useful in portfolio position preferences. Figure 2 is row-ranked on [R] among alternative candidate securities, with PPG in top rank.

Along with the candidate-specific stocks these selection considerations are provided for the averages of some 3,000 stocks for which MM price-range forecasts are available today, and 20 of the best-ranked (by fom) of those forecasts, as well as the forecast for S&P500 Index ETF (SPY) as an equity-market proxy.

Current-market index SPY is not competitive as an investment alternative. Its Range Index of 26 indicates 3/4ths of its forecast range is to the upside, but little more than half of previous SPY forecasts at this range index produced profitable outcomes.

As shown in column [T] of figure 2, those levels vary significantly between stocks. What matters is the net gain between investment gains and losses actually achieved following the forecasts, shown in column [I]. The Win Odds of [H] tells what proportion of the sample RIs of each stock were profitable. Odds below 80% often have proven to lack reliability.

Recent Forecast Trends of the Primary Subject

Figure 3

PPG daily hedging forecasts trend

blockdesk.com

(used with permission)

Many investors confuse any time-repeating picture of stock prices with typical "technical analysis charts" of past stock price history. These are quite different in their content. Instead, here Figure 3's vertical lines are a daily-updated visual record of price range forecast limits expected in the coming few weeks and months. The heavy dot in each vertical is the stock's closing price on the day the forecast was made.

That market price point makes an explicit definition of the price reward and risk exposure expectations which were held by market participants at the time, with a visual display of their vertical balance between risk and reward.

The measure of that balance is the Range Index (RI).

With today's RI there is 18% upside price change in prospect. Of the prior 43 forecasts like today's RI, 40 have been profitable. The market's actions of prior forecasts became accomplishments of +11% gains in 47 market days.. So history's advantage could be repeated five times or more in a 252 market-day year, which compounds into a CAGR of +72%.

Also please note the smaller low picture in Figure 3. It shows the past 5 year distribution of Range Indexes with the current level visually marked. For PPG nearly all exact past forecasts have been of higher prices and Range Indexes.

Conclusion

Based on direct comparisons with SHW and other Paint producers, there are strong wealth-building reasons to prefer a capital-gain seeking buy in PPG Industries, Inc. (PPG) over other examined alternatives.

Tue, 05 Jul 2022 05:16:00 -0500 en text/html https://seekingalpha.com/article/4521814-ppg-industries-stock-bottom-priced-portfolio-wealth-builders
Killexams : AI in the Fashion Market Forecast 2022 to 2030 – Analysis by Product Type, Indication, End User, and Geography

The MarketWatch News Department was not involved in the creation of this content.

Jul 27, 2022 (Alliance News via COMTEX) -- Report Ocean published the latest research report on the AI in the Fashion market. In order to comprehend a market holistically, a variety of factors must be evaluated, including demographics, business cycles, and microeconomic requirements that pertain precisely to the market under study. In addition, the AI in the Fashion market study demonstrates a detailed examination of the business state, which represents creative ways for company growth, financial factors such as production value, key regions, and growth rate.

The AI in the Fashion Industry is expected to grow at a CAGR of ~39.17% during the forecast period 2020-2026.

Time to restyle the fashion industry which has been the epitome of styling for years. It is the situation of the pandemic which causes such changes inevitably. The ongoing pandemic has forced the fashion industry to vamp up the technologies which can make people safer as well as provide the customer's an enriching experience. Fashion Industry is seen as one of the most competitive markets where something which is trending today may find itself in the corner the next day. In the backdrop of the pandemic, artificial intelligence (AI) can be used as the smartest tool to help the interests of the customers. Right now, it has been used to increase the productivity of the manufacturing of the clothes and the smooth functioning of enterprises.

Request To download Free sample of This Strategic Report:-https://reportocean.com/industry-verticals/sample-request?report_id=IR427

A need for personalization of products has made AI the top choice of every industry. We have already witnessed the “suggestions based on what you have seen” on various OTT platforms like Netflix, Amazon, and a plethora of others. The current environment values personal experience as the highest. Time to see some disruptive ideas emerging in the fashion industry as well.AI has umpteen applications in the fashion industry, ranging from product recommendation, product search, creative designing, and trend forecasting, virtual assistant, supply chain management, and demand forecasting and other applications.
There has been a huge demand for AI in the fashion industry and this is major because of the rising influence of social media on the industry of fashionistas. The growing popularity of personalized experience is the driving force behind the demand for AI. Apart from this, giving suggestions to the customer concerning upcoming future trends tracking their past shopping behavior and the growth in the retail industry are the other two key factors that are boosting the adoption of AI in the fashion hub. India, being a diverse country that has huge diverse behavior in terms of culture and region, such differentiation can be a huge challenge to cope up with. The extra clutter on social media is also something that needs to be broken down to capture enough eye-balls of the customers.

There is no speck of doubt that Artificial Intelligence AI has changed the way business is done. With the growing popularity of e-commerce, more and more consumer data is being tracked than ever. Most of the trending fashion platforms are able to decode consumer data based on their shopping behavior.

Request sample PDF copy of the report @:-https://reportocean.com/industry-verticals/sample-request?report_id=IR427

Research Methodology:
The market of AI in fashion has been analyzed by utilizing the optimum combination of secondary sources and in-house methodology, along with an irreplaceable blend of primary insights. The real-time assessment of the market is an integral part of our market sizing and forecasting methodology. Our industry experts and panel of primary participants have helped in compiling relevant aspects with realistic parametric estimations for a comprehensive study. The participation share of different categories of primary participants is given below:

On the basis of components, Artificial Intelligence in the fashion market is fragmented into 2 parts:
Solutions
Services
Due to a higher adoption rate, the solution segment outperforms the services segment and is expected to record higher growth in the future. Fashion retailers are moving more and more towards advanced technologies that can streamline their business processes and help attract new customers.

The deployment segment is further categorized into 2 segments into the
Cloud
On-premises
Owing to the fact that a lot of improvements have happened in integration and scalability coupled with ease of deployment, the cloud-based model is anticipated to be the driving force behind the adoption of cloud-based AI solutions in the fashion market. The issues pertaining to data privacy and security happen to increase the demand for on-premise AI solutions in the fashion industry.

SPECIAL OFFER (Avail an Up-to 30% discount on this report:-https://reportocean.com/industry-verticals/sample-request?report_id=IR427

On the basis of applications, AI in the fashion hub can be categorized under
Customer Relationship Management
Virtual Assistants
Product Recommendation
Product Search and Discovery
Supply Chain Management and Demand Forecasting
Creative Designing and Trend Forecasting
Based on end-users, the AI in Fashion is categorized into:
Fashion Designers
Fashion Stores
Various factors such as increasing need to reduce the time required to develop and visualize thousands of images to forecast fashion trends, and need to quickly analyze various fashion clothing patterns are the boomers behind the significant usage of AI in the fashion industry. The fashion store category is expected to be the major contributor in terms of the adoption of AI technologies.

On the basis of Category, the market is divided into:
Apparel
Accessories
Footwear
Beauty and Cosmetics
Jewellery And Watches
Others
The adoption of AI and ML technologies in fashion and luxury brands is increasing as enterprises wish to cater to various requirements of the clients and industry. The various fashion brands have started adopting AI to offer recommendations for clothing to help customers to get an accurate outfit and thus reduce purchase return rates and increase profit margins. The apparel category is expected to be the major contributor in terms of the adoption of AI and ML technologies.

Based on the Geographic region, it covers:
North America
Europe
Asia Pacific
Rest of the World
North America holds the largest share of the AI in the fashion market, while Asia Pacific is expected to grow at the highest CAGR during the forecasting period. The growth of Asia Pacific is attributed to growing technological advancements in countries such as China, India, and Japan. China has presented numerous research papers on the use of AI across verticals.

Access full Report Description, TOC, Table of Figure, Chart, etc. @:-https://reportocean.com/industry-verticals/sample-request?report_id=IR427

However, there is much scope of improvement globally owing to the fact that the initial investment in this market is high and its maintenance cost is also high to sustain it. However, we see that the market is growing with key providers operating in the global AI in fashion include Adobe, Oracle, Catchoom, Huawei, Vue.AI, Heuritech, Wide Eyes, Findmine, Intelistyle, Lily AI, IBM, Microsoft, Google, Facebook, AWS, Pttrns.AI, SAP, Stitch Fix, Syte, and Mode AI.

The AI in the Fashion Industry is expected to grow at a CAGR of ~39.17% during the forecast period 2020-2026. This report grants exhaustive research about the ongoing trends and the competitive trends following the usage of AI in the fashion industry.
The report would be providing the key-insights about the current level of AI in the fashion industry
A qualitative analysis would be the backbone for any in-depth research for the usage of AI in the fashion segment
The technological challenges and the data privacy issues would be handled in the exhaustive report as well

Table of Content

Market Overview
Market Dynamics
Associated Industry Assessment
Market Competitive Landscape
Analysis of Leading Companies
Market Analysis and Forecast, By Product Types
Market Analysis and Forecast, By Applications
Market Analysis and Forecast, By Regions
Conclusions and Recommendations
Appendix

Access Full Report, here:- https://reportocean.com/industry-verticals/sample-request?report_id=IR427

About Report Ocean:
We are the best market research reports provider in the industry. Report Ocean believes in providing quality reports to clients to meet the top line and bottom line goals which will boost your market share in today's competitive environment. Report Ocean is a 'one-stop solution' for individuals, organizations, and industries that are looking for innovative market research reports.

Get in Touch with Us:
Report Ocean:
Email:sales@reportocean.com
Address
: 500 N Michigan Ave, Suite 600, Chicago, Illinois 60611 - UNITED STATES Tel: +1 888 212 3539 (US - TOLL FREE)
Website:https://www.reportocean.com/

COMTEX_411050308/2796/2022-07-27T02:37:34

The MarketWatch News Department was not involved in the creation of this content.

Tue, 26 Jul 2022 14:37:00 -0500 en-US text/html https://www.marketwatch.com/press-release/ai-in-the-fashion-market-forecast-2022-to-2030-analysis-by-product-type-indication-end-user-and-geography-2022-07-27
Killexams : Radware Ltd.: Best Near-Term InfoTech Stock Buy Now
Business on Wall Street in Manhattan

Pgiam/iStock via Getty Images

Investment Thesis

Careful comparisons urge a buy of Radware Ltd. (NASDAQ:RDWR).

21st Century paces of change in technology and rational behavior (not of emotional reactions) seriously disrupt accepted productive investment strategy of the 20th century.

One required change is the shortening of forecast horizons, with a shift from the multi-year passive approach of buy&hold to the active strategy of specific price-change target achievement or time-limit actions, with reinvestment set to new nearer-term targets.

That change avoids the irretrievable loss of invested time spent destructively by failure to recognize shifting evolutions like the cases of IBM, Kodak, GM, Xerox, GE, and many others.

It recognizes the evolutions in medical, communication, and information technologies and enjoys their operational benefits already present in extended lifetimes, trade-commission-free investments, and coming in transportation ownership and energy usage.

But it requires the ability to make valid direct comparisons of value between investment reward prospects and risk exposures in the uncertain future. Since uncertainty expands as the future dimension increases, shorter forecast horizons are a means of improving the reward-to-risk comparison.

That shortening is now best attended at the investment entry point with Market-Maker expectations for coming prices. When reached, they are then reintroduced at the exit/reinvestment point as the term of expectations for the required coming comparisons as decisions step in to move forward.

The MM's constant presence, extensive global communications, and human resources dedicated to monitoring industry-focused competitive evolution sharpen MM price expectations, essential to their risk-avoidance roles.

Their roles requiring firm capital be only temporarily risk-exposed are hedged by derivative-securities deals to avoid undesired price changes. The deals' prices and contracts provide a window of sorts to MM price expectations.

Information technology via the Internet makes investment monitoring and management time and attention efficient despite its increase in frequency.

Once an investment choice is made and buy transaction confirmation is received, the target-price GTC sell order for the confirmed number of shares at the target price or better should be placed. Keeping trade actions entered through the Internet on your lap/desk-top or cell phone should avoid trade commission charges. Your broker's internal system should keep you informed of your account's progress.

Your own private calendar record should be kept of the date 63 market days (or 91 calendar days) beyond the trade's confirmation date as a time-limit alert to check if the GTC order has not been executed. If not, then start your exit and reinvestment decision process.

The 3 months' time limit is what we find to be a good choice, but may be extended some if desired. Beyond 5-6 months, time investments start to work against the process and are not recommended.

For investments guided by this article or others by me target prices will always be found as the high price in the MM forecast range.

Description of Equity Subject Company

"Radware Ltd., together with its subsidiaries, develops, manufactures, and markets cyber security and application delivery solutions for applications in cloud, physical, and software-defined data centers worldwide. The company sells its products primarily to independent distributors, including value-added resellers, original equipment manufacturers, and system integrators. Radware Ltd. was founded in 1996 and is headquartered in Tel Aviv, Israel."

Source: Yahoo Finance

Radware analyst estimates

Yahoo Finance

These growth estimates have been made by and are collected from Wall Street analysts to suggest what conventional methodology currently produces. The typical variations across forecast horizons of different time periods illustrate the difficulty of making value comparisons when the forecast horizon is not clearly defined.

Risk and Reward Balances Among RDWR Competitors

Figure 1

Risk and Reward Balances Among RDWR Competitors

blockdesk.com

(used with permission)

The risk dimension is of actual price drawdowns at their most extreme point while being held in previous pursuit of upside rewards similar to the ones currently being seen. They are measured on the red vertical scale. Reward expectations are measured on the green horizontal scale.

Both scales are of percent change from zero to 25%. Any stock or ETF whose present risk exposure exceeds its reward prospect will be above the dotted diagonal line. Capital-gain-attractive to-buy issues are in the directions down and to the right.

Our principal interest is in RDWR at location [6], just above the green area marking reward to risk trade-offs at a 5 to 1 ratio. A "market index" norm of reward~risk tradeoffs is offered by SPY at [3]. Most appealing by this Figure 1 view for wealth-building investors is RDWR.

Comparing Competitive Features of Info-Technology Providers

The Figure 1 map provides a good visual comparison of the two most important aspects of every equity investment in the short term. There are other aspects of comparison which this map sometimes does not communicate well, particularly when general market perspectives like those of SPY are involved. Where questions of "how likely' are present other comparative tables, like Figure 2, may be useful.

Yellow highlighting of the table's cells emphasize factors important to securities valuations and the security RDWR of most promising of near capital gain as ranked in column [R].

Figure 2

Risk and Reward Balances Among RDWR Competitors

blockdesk.com

(used with permission)

Why Do All This Math?

Figure 2's purpose is to attempt universally comparable answers, stock by stock, of a) How BIG the prospective price gain payoff may be, b) how LIKELY the payoff will be a profitable experience, c) how SOON it may happen, and d) what price drawdown RISK may be encountered during its active holding period.

Readers familiar with our analysis methods after quick examination of Figure 2 may wish to skip to the next section viewing price range forecast trends for RDWR.

Column headers for Figure 2 define investment-choice preference elements for each row stock whose symbol appears at the left in column [A]. The elements are derived or calculated separately for each stock, based on the specifics of its situation and current-day MM price-range forecasts. Data in red numerals are negative, usually undesirable to "long" holding positions. Table cells with yellow fills are of data for the stocks of principal interest and of all issues at the ranking column, [R]. Fills of pink warn of conditions nor constructive to buys.

The price-range forecast limits of columns [B] and [C] get defined by MM hedging actions to protect firm capital required to be put at risk of price changes from volume trade orders placed by big-$ "institutional" clients.

[E] measures potential upside risks for MM short positions created to fill such orders, and reward potentials for the buy-side positions so created. Prior forecasts like the present provide a history of relevant price draw-down risks for buyers. The most severe ones actually encountered are in [F], during holding periods in effort to reach [E] gains. Those are where buyers are emotionally most likely to accept losses.

The Range Index [G] tells where today's price lies relative to the MM community's forecast of upper and lower limits of coming prices. Its numeric is the percentage proportion of the full low to high forecast seen below the current market price.

[H] tells what proportion of the [L] sample of prior like-balance forecasts have earned gains by either having price reach its [B] target or be above its [D] entry cost at the end of a 3-month max-patience holding period limit. [ I ] gives the net gains-losses of those [L] experiences.

What makes RDWR most attractive in the group at this point in time is its ability to produce capital gains most consistently at its present operating balance between share price risk and reward at the Range Index [G]. At a RI of 1, today's price is at the bottom of its forecast range, with all price expectations only to the upside. Not our expectations, but those of Market-Makers acting in support of Institutional Investment organizations build the values of their typical multi-billion-$ portfolios. Credibility of the [E] upside prospect as evidenced in the [I] payoff at +18% is shown in [N].

Further Reward~Risk tradeoffs involve using the [H] odds for gains with the 100 - H loss odds as weights for N-conditioned [E] and for [F], for a combined-return score [Q]. The typical position holding period [J] on [Q] provides a figure of merit [fom] ranking measure [R] useful in portfolio position preferencing. Figure 2 is row-ranked on [R] among alternative candidate securities, with PPG in top rank.

Along with the candidate-specific stocks, these selection considerations are provided for the averages of some 3,000 stocks for which MM price-range forecasts are available today, and 20 of the best-ranked (by fom) of those forecasts, as well as the forecast for S&P500 Index ETF (SPY) as an equity-market proxy.

Current-market index SPY is not competitive as an investment alternative. Its Range Index of 26 indicates 3/4ths of its forecast range is to the upside, but little more than half of previous SPY forecasts at this range index produced profitable outcomes.

As shown in column [T] of figure 2, those levels vary significantly between stocks. What matters is the net gain between investment gains and losses actually achieved following the forecasts, shown in column [I]. The Win Odds of [H] tells what proportion of the sample RIs of each stock were profitable. Odds below 80% often have proven to lack reliability.

Recent Forecast Trends of the Primary Subject

Figure 3

RDWR stock forecast

blockdesk.com

RDWR has declined in price to a point where hedging actions show that coming-price expectations resist further declines, with Range Index value of only 6% above the MM community's low and 94% of the range to the upside.

Past experiences at this level have produced profitable position outcomes in 10 out of every 11 opportunities, winners 91% of the time. The small image showing the frequency of RIs makes it clear that the bulk of the past 5 years of daily forecasts have been at higher price and price expectation levels.

Current comparison with other Leveraged ETFs ranks RDWR at the top of the list of such alternative investment prospect candidates.

Conclusion

Radware Ltd. Currently appears the best Information Technology competitor choice of investors desiring near-term capital gain wealth-builders.

Sat, 09 Jul 2022 06:06:00 -0500 en text/html https://seekingalpha.com/article/4522535-radware-rdwr-best-near-term-infotech-stock-buy-now
Killexams : Smart Cities Market is Prospering at USD 1874.83 Billion by 2029 | Industry Trends, Strategies, Size, Share and Regional & Global Outlook

NEW YORK, July 13, 2022 /PRNewswire/ -- A new statistical surveying study by Data Bridge Market Research Titled Global Smart Cities Market investigates a few critical features identified with Smart Cities Market covering industry condition, division examination, and focused scene. Down to earth ideas of the market are referenced in a straightforward and unassuming way in this report. A far-reaching and exhaustive essential investigation report features various actualities, for example, improvement factors, business upgrade systems, measurable development, monetary benefit or misfortune to support peruses and customers to comprehend the market on a global scale.

The business intelligence study of the Smart Cities Market covers the estimation size of the market both in terms of value (Bn USD) and volume (x units). In a bid to recognize the growth prospects in the Smart Cities Market, the market study has been geographically fragmented into important regions that are progressing faster than the overall market. Each segment of the Smart Cities Market has been individually analyzed on the basis of pricing, distribution, and demand prospect.

Data Bridge Market Research analyses that the smart cities market was valued at USD 390.13 billion in 2021 and is expected to reach the value of USD 1874.83 billion by 2029, at a CAGR of 21.68% during the forecast period of 2022 to 2029.

Get sample Report + All Related Graphs & Charts https://www.databridgemarketresearch.com/request-a-sample/?dbmr=global-smart-cities-market

Market Overviews:-

A smart city is a framework that uses information and communication technology (ICT) to deploy, develop, and promote sustainable urban development. It also aids in the dissemination of information to the public, the improvement of operational efficiency, and the enhancement of citizen welfare. A smart city uses hardware components such as chips, sensors, and actuators, as well as software solutions such as user interfaces (UIs), communication networks, and Internet of Things (IoT) devices to promote mixed-land use for unplanned areas, which offers a variety of facilities in one location and aids in the optimum utilisation of available space.

Smart Cities Market Dynamics

Drivers

  • Increasing investment in smart city designs

One of the encouraging factors driving growth in the smart cities market is the increasing investment in smart city designs. Certain plans are leading the way in developing countries, where governments are investing billions of dollars in smart city designs because everything will be combined in these smart cities, garbage collection with the use of smart cities will benefit certain regions. Furthermore, lowering the cost of internet of things (IoT) sensors is a significant factor driving growth in the smart cities syndicate. Consumption administration businesses are taking this very seriously as sensors will be installed in data visualisation programmes and screening support, as it will aid in the comfortable collection of garbage.

  • The rising popularity of hyper connectivity and advent of disruptive technologies

Hyper-connectivity is popular because it allows for active interaction between people and devices. The gradual evolution of the Internet of Things allows billions of devices to connect and interact, boosting the growth of the smart cities market. Furthermore, governments have identified disruptive technology as a critical component in smart cities. It aids in the development of strategies as governments incorporate these technologies to address metropolitan challenges such as rising power usage, safety, productivity, environmentally friendly transportation, water distribution and management, and crime and terrorism protection/security.

Core Objective of Smart Cities Market:

Every firm in the Smart Cities market has objectives but this market research report focus on the crucial objectives, so you can analysis about competition, future market, new products, and informative data that can raise your sales volume exponentially.

  • Size of the Smart Cities market and growth rate factors.
  • Important changes in the future Smart Cities Market.
  • Top worldwide competitors of the Market.
  • Scope and product outlook of Smart Cities Market.
  • Developing regions with potential growth in the future.
  • Tough Challenges and risk faced in Market.
  • Global Smart Cities top manufacturers profile and sales statistics.

Key Players & Share Analysis:-

  • IBM (US),
  • SAP SE (Germany),
  • Sensoneo (Finland),
  • Big belly solar, LLC (US),
  • Inogen Environmental Alliance, Inc. (US),
  • Ecube Labs (South Korea),
  • Covanta Holding Corporation (US),
  • Pepperl+Fuchs (Germany),
  • OnePlus Systems Inc. (US),
  • Urbiotica (Spain)

Access Full 350 Pages Report @ https://www.databridgemarketresearch.com/checkout/buy/enterprise/global-smart-cities-market

Recent Development

  • Siemens will acquire Wattsense, a French provider of plug-and-play IoT management systems, in October 2021. Siemens' building automation offering for small and medium-sized buildings was expanded as a result of this acquisition.
  • Hitachi will collaborate with Bao Viet Insurance in October 2021 to drive innovation in the insurance industry through the use of AI and medical big data. Bao Viet Insurance plans to use Hitachi's technology to Strengthen health by predicting the likelihood of developing a disease in the future.
  • Microsoft and Honeywell will collaborate in October 2020 to Strengthen enterprise workplace performance and energy efficiency. To access operational data, Honeywell would combine the Microsoft Azure cloud platform and connect Microsoft Dynamics 365 with Honeywell Forge.

Highlights of Following Key Factors:-

A detailed description of the company's operations and business divisions

Analyst's summarization of the company's business strategy

Progression of key events associated with the company

  • Major products and services

A list of major products, services and brands of the company

A list of key competitors to the company

  • Important locations and subsidiaries

A list and contact details of key locations and subsidiaries of the company

  • Detailed financial ratios for the past 5 years

The latest financial ratios derived from the annual financial statements published by the company with 5 years' history.

Smart Cities Market Dynamics

Increasing investment in smart city designs

One of the encouraging factors driving growth in the smart cities market is the increasing investment in smart city designs. Certain plans are leading the way in developing countries, where governments are investing billions of dollars in smart city designs because everything will be combined in these smart cities, garbage collection with the use of smart cities will benefit certain regions. Furthermore, lowering the cost of internet of things (IoT) sensors is a significant factor driving growth in the smart cities syndicate. Consumption administration businesses are taking this very seriously as sensors will be installed in data visualisation programmes and screening support, as it will aid in the comfortable collection of garbage.

The rising popularity of hyper connectivity and advent of disruptive technologies

Hyper-connectivity is popular because it allows for active interaction between people and devices. The gradual evolution of the Internet of Things allows billions of devices to connect and interact, boosting the growth of the smart cities market. Furthermore, governments have identified disruptive technology as a critical component in smart cities. It aids in the development of strategies as governments incorporate these technologies to address metropolitan challenges such as rising power usage, safety, productivity, environmentally friendly transportation, water distribution and management, and crime and terrorism protection/security.

Maintaining relationships between public and private entities aids in reshaping how smart digital infrastructure is developed, financed, and delivered in the coming years. Increasing collaborations between the public and private sectors with the goal of delivering smart cities-specific services and infrastructure are key factors driving the smart cities market's growth. Collaborations have recently helped suggest and recommend a wide range of technologies and solutions to notify vision or functionality of smart cities. Aside from that, government organisations all over the world are taking various steps to launch smart cities projects and are collaborating with major technology companies to implement IoT across cities. These collaborations and partnerships with technology vendors for the development of IoT applications are creating potential growth opportunities.

To View Detailed Report Analysis, Visit @ https://www.databridgemarketresearch.com/reports/global-smart-cities-market

Smart Cities Market Regional Analysis/Insights

The smart cities market is analysed and market size insights and trends are provided by country, component, and application as referenced above.

The countries covered in the smart cities market report are U.S., Canada, Mexico, Germany, France, U.K., Italy, Spain, Switzerland, Netherlands, Russia, Turkey, Belgium, Rest of Europe, Japan, China, South Korea, India, Australia & New Zealand, Singapore, Thailand, Malaysia, Indonesia, Philippines, Rest of Asia-Pacific, South Africa, Israel, U.A.E., Saudi Arabia, Egypt, Rest of Middle East and Africa, Brazil, Argentina and Rest of South America.

North America commanded the largest share of the global smart cities market and is expected to maintain its dominance over the forecast period. However, the Asia-Pacific region continues to experience rapid technological growth in all areas. At the moment, smart city adoption is low in this region, but it has a high potential for market growth in the coming years. Factors such as rapid population growth, increasing economic development, and technological advancement for resource management and sustainable development are fueling this region's rapid growth in the global smart cities market. The countries in this region are among the most technologically developing in the world, providing significant growth opportunities for market participants.

The country section of the report also provides individual market impacting factors and changes in market regulation that impact the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of Global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.  

What insights readers can gather from the Smart Cities Market report?

  • Learn the behaviour pattern of every Smart Cities Market player-product launches, expansions, collaborations and acquisitions in the market currently.
  • Examine and study the progress outlook of the global Smart Cities Market landscape, which includes, revenue, production & consumption and historical & forecast.
  • Understand important drivers, restraints, opportunities, and trends (DROT Analysis).
  • Important trends, such as carbon footprint, R&D developments, prototype technologies, and globalization.

Table of Content: Global Smart Cities Market

Part 01: Executive Summary

Part 02: Scope of The Report

Part 03: Global Smart Cities Market Landscape

Part 04: Global Smart Cities Market Sizing

Part 05: Global Smart Cities Market Segmentation By Product

Part 06: Five Forces Analysis

Part 07: Customer Landscape

Part 08: Geographic Landscape

Part 09: Decision Framework

Part 10: Drivers And Challenges

Part 11: Market Trends

Part 12: Vendor Landscape

Part 13: Vendor Analysis

Explore Detailed TOC @ https://www.databridgemarketresearch.com/toc/?dbmr=global-smart-cities-market

Browse Trending Reports By DBMR

Incident and Emergency Management Market, By Component (Solutions, Services and Communication System), Solution (Web-Based Emergency Management System, Mass Notification System, Disaster Recovery and Business Continuity, Perimeter Intrusion Detection, Geospatial and Fire and Hazmat), Service (Consulting, Emergency Operation Center Design and Integration, Training and Simulation, and Public Information Services), Communication System (First Responder Tools, Satellite Assisted Equipment, Vehicle-Ready Gateways and Emergency Response Radars), Simulation (Traffic Simulation Systems, Hazard Propagation Simulation Tools and Incident and Evaluation Simulation Tools) Industry Trends and Forecast to 2029 - https://www.databridgemarketresearch.com/reports/global-incident-and-emergency-management-market

IoT in Education Market, By Hardware (Interactive Whiteboards, Tablets and Mobile Devices, Displays, Security and Video Cameras and Others), Component (Solutions and Services), Application (Learning Management System, Administration Management, Surveillance and Others), End User (Academic Institutions, Corporates and  Others) Industry Trends and Forecast to 2028 - https://www.databridgemarketresearch.com/reports/global-iot-in-education-market

IoT Platform Market, By Deployment (Public, Private and Hybrid), Organization Size (Small and Medium Enterprise and Large Enterprise), Platform (Device Management, Connectivity Management, and Application Enablement), Service (Professional Services, Training and Consulting, Integration Services, Support and Maintenance, and Managed Services), Application (Home Automation, Wearable Technology, Smart City, Industrial Automation, Connected Transportation, Healthcare, Smart Retail, Smart Agriculture, Connected Logistics, and Others) Industry Trends and Forecast to 2029 - https://www.databridgemarketresearch.com/reports/global-iot-platform-market

Oil and Gas Process Simulation Software Market, By Component (Software and Services), Operation Type (Off-Shore, On-Shore, Heavy Oil and Unconventional), Application (Upstream, Midstream, Oil and Gas Processing, Cryogenic Processes, Refining, Petrochemicals and Green Engineering) Industry Trends and Forecast to 2028 https://www.databridgemarketresearch.com/reports/global-oil-and-gas-process-simulation-software-market

Trade Management Market, By Component (Solutions, Services), Deployment Model (0n-Premises, Cloud), Organization Size (Small and Medium-Sized Enterprises, Large Enterprises), End User (Transportation and Logistics, Government and Public, Healthcare and Life Sciences, Aerospace and Defense, Manufacturing, Consumer Goods and Retail, Energy and Utilities, Others) Industry Trends and Forecast to 2028 https://www.databridgemarketresearch.com/reports/global-trade-management-market

About Data Bridge Market Research:

An absolute way to forecast what future holds is to comprehend the trend today!

Data Bridge Market Research set forth itself as an unconventional and neoteric Market research and consulting firm with unparalleled level of resilience and integrated approaches. We are determined to unearth the best market opportunities and foster efficient information for your business to thrive in the market. Data Bridge endeavours to provide appropriate solutions to the complex business challenges and initiates an effortless decision-making process. Data Bridge is an aftermath of sheer wisdom and experience which was formulated and framed in the year 2015 in Pune.

Data Bridge Market Research has over 500 analysts working in different industries. We have catered more than 40% of the fortune 500 companies globally and have a network of more than 5000+ clientele around the globe. Data Bridge adepts in creating satisfied clients who reckon upon our services and rely on our hard work with certitude. We are content with our glorious 99.9 % client satisfying rate.

Contact Us:-

Data Bridge Market Research 
US: +1 888 387 2818
UK: +44 208 089 1725
Hong Kong: +852 8192 7475
Email:- corporatesales@databridgemarketresearch.com

Logo: https://mma.prnewswire.com/media/1011053/Data_Bridge_Market_Research_Logo.jpg

View original content:https://www.prnewswire.com/news-releases/smart-cities-market-is-prospering-at-usd-1874-83-billion-by-2029--industry-trends-strategies-size-share-and-regional--global-outlook-301586013.html

SOURCE Data Bridge Market Research

© 2022 Benzinga.com. Benzinga does not provide investment advice. All rights reserved.

Wed, 13 Jul 2022 04:46:00 -0500 text/html https://www.benzinga.com/pressreleases/22/07/n28053931/smart-cities-market-is-prospering-at-usd-1874-83-billion-by-2029-industry-trends-strategies-size-s
000-900 exam dump and training guide direct download
Training Exams List