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IBM Tivoli Storage Manager V6.3 Fundamentals
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Killexams : IBM Free PDF - BingNews http://www.bing.com:80/news/search?q=IBM+Free+PDF&cc=us&format=RSS Search results Killexams : IBM Free PDF - BingNews http://www.bing.com:80/news/search?q=IBM+Free+PDF&cc=us&format=RSS https://killexams.com/exam_list/IBM Killexams : The many derivatives of the CP/M operating system No result found, try new keyword!The original Intel 8080 version of CP/M had a relatively brief reign: it appeared in 1974, just seven years before the IBM PC launched with PC DOS. The PC, and its many clones running MS-DOS, rapidly ... Wed, 03 Aug 2022 21:38:32 -0500 en-us text/html https://www.msn.com/en-us/news/technology/the-many-derivatives-of-the-cpm-operating-system/ar-AA10ipCh Killexams : Birth Of IBM, Oracle, And Calculating Machines: This Week In Tech History

June 14, 1822

Charles Babbage reads to the Royal Astronomical Society a paper entitled "Note on the application of machinery to the computation of astronomical and mathematical tables" in which he proposes the construction of the Difference Engine. Considered to be a pre-curser of modern computers, it was designed to speed-up the production of error-free mathematical tables, just as early modern computers did. In 1991, London’s Science Museum completed the construction of the first-ever working model of the Difference Engine, under the direction of Doron Swade and Alan Bromley. Swade wrote in his 2000 book, The Difference Engine: Charles Babbage and the quest to build the first computer:

This book is a tale of two quests. The first is Charles Babbage’s quest to realise a vision—that the science of number could be mastered by mechanism. By simply turning the handle of his massive calculating engine Babbage planned to achieve results which up to that point in history could be achieve only by mental effort—thinking. But this was not all. Calculating engines offered a tantalizing new prospect. The ‘unerring certainty’ of mechanism would eliminate the risk of human error to which numerical calculation was so frustratingly prone. Infallible machines would compensate for the frailties of the human mind and extend its powers…

The second quest is the twentieth-century sequel: The quest at the Science Museum to build a working Babbage engine in time for the bicentenary of Babbage’s birth.

June 14, 1941

John Mauchly meets John Atanasoff at Iowa State University. During the next five days, Mauchly learned everything he could about what became to be known as the Atanasoff-Berry Computer (ABC) which he first heard about when Atanasoff visited Philadelphia in December 1940. The ABC was the first electronic digital computing device but was never put to actual use because both Atanasoff and Berry left Iowa in 1942 to contribute to the war effort and did not resume the work after the war.

The significance of this meeting emerged years later when it became part of the evidence that led the judge in the case of Honeywell, Inc. v. Sperry Rand Corp., et al. to decide that the ENIAC patent was invalid, among other reasons, because “Eckert and Mauchly did not themselves invent the automatic electronic computer, but instead derived that subject matter from one Dr. John Vincent Atanasoff.” Campbell-Kelly and Aspray conclude in Computer: A History of the Information Machine:

The extent to which Mauchly drew on Atanasoff’s ideas remains unknown, and the evidence is massive and conflicting. The ABC was quite modest technology, and it was not fully implemented. At the very least we can infer that Mauchly saw the potential significance of the ABC and that this may have led him to propose a similar electronic solution to the Ballistic Research Laboratory’s [at the Moore School of Electrical Engineering at the University of Pennsylvania] computing needs.

They also note that in June 1941, Mauchly and Atanasoff “parted on very amicable terms.” Indeed, Mauchly wrote to Atanasoff on September 30th of that year:

A number of different ideas have come to me recently anent computing circuits—some of which are more or less hybrids, combining your methods with other things, and some of which are nothing like your machine. The question in my mind is this: is there any objection, from your point of view, to my building some sort of computer which incorporates some of the features of your machine? … Ultimately a second question might come up, of course, and that is, in the event that your present design were to hold the field against all challengers, and I got the Moore School interested in having something of the sort, would the way be open for us to build an ‘Atanasoff Calculator’ (a la Bush analyzer) here?

June 16, 1911

The Computing-Tabulating-Recording Company is incorporated. It changed its name to IBM  in 1924. In “Ideas make IBM 100 years young,” IBM’s Bernard Meyerson writes: “…if you really think about what keeps a company going, it’s that you have to keep reinventing yourself. You cannot reinvent yourself in the absence of great ideas. You have to have the great ideas, and you have to follow them through.” Meyerson equates the great ideas that sustain the life of a company with great innovations but in “1100100 and counting,” The Economist quotes Forrester Research’s George Colony: “IBM is not a technology company, but a company solving business problems using technology” and concludes:

Over time [the close relationships between IBM and its customers] became IBM’s most important platform—and the main reason for its longevity. Customers were happy to buy electric ‘calculating machines’, as Thomas Watson senior insisted on calling them, from the same firm that had sold them their electromechanical predecessors. They hoped that their trusted supplier would survive in the early 1990s. And they are now willing to let IBM’s services division tell them how to organise their businesses better.

Kevin Maney lists five lessons he drew from his close study of IBM’s history, the first one being “At the start, convince the troops you’re a company of destiny, even if that seems crazy.” Thomas Watson Sr. did this and more. In a 1917 speech he said: “My duty is not the building of this business; it is rather, the building of the organization. … I [know] only one definition of good management; that is, good organization. So, as I see it, my work consists in trying to build a bigger and better organization. The organization, in its turn, will take care of the building of the business.”

So what was the Big IBM Idea? A trusted supplier? A focus on destiny and longevity? Building a bigger and better organization? All of the above?

In a 1994 Harvard Business Review article titled “The theory of the business,” Peter Drucker advanced the argument that great businesses revolve around a certain idea or “a theory of the business,” articulating the company’s assumptions about its environment, its mission, and its core competencies.

In response, I discussed in a letter-to-the-editor the similarities and dissimilarities between scientists and managers:

Managers [like scientists] must articulate their theories and how they can be refuted and then seek data that prove their theories wrong. That will prevent them from falling into the trap of discarding successful theories… the theory of the business may not just explain reality or past business success; it may also define it by communicating and convincing employees and customers that the company is unique. A business theory, then, unlike a scientific theory, can be true and false at the same time. That is how, as Drucker has illustrated, IBM and General Motors could both succeed and fail when they applied the same business theory to two different businesses.

In short, an idea or a set of ideas may explain past business success. But, business school education and management gurus notwithstanding, one cannot extract from history “management lessons,” prescriptions, and predictions about the future of this or any other business. Even if we had a perfect understanding of the reasons for IBM’s longevity, that would not tell us anything about the future of Apple or Google or Facebook. There is no one explanation or theory of business success and the same reasons for success in one case can be the very same reasons for failure in another.

I didn’t know it in 1994, but it turns out I was channeling Thomas Watson Sr. who said in another speech, this one in January 1915, shortly after he joined C-T-R:

We all know there have been numerous books written on scientific factory management, scientific sales management, the psychology of selling goods, etc. Many of us have read some of those books. Some of them are good; but we can’t accept any of them as a basis for us to work on. Neither can you afford to accept my ideas as whole and attempt to carry them out, because I do not believe in a fixed method–in any fixed way of selling goods, or of running a business.

June 16, 1977

Software Development Laboratories (SDL) is incorporated in Santa Clara, California, by Larry Ellison, Bob Miner and Ed Oates. It changed its name to Relational Software, Inc. (RSI) in 1979 and again to Oracle Systems Corporation in 1982. Since 1995, it has been known as Oracle Corporation.

June 18, 1908

Alan Archibald Campbell-Swinton publishes a letter in the journal Nature titled “Distant Electric Vision” in which he envisioned television as it was developed three decades later. He wrote: “Possibly no photoelectric phenomenon at present known will provide what is required in this respect, but should something suitable be discovered, distant electric vision will, I think, come within the region of possibility.”

In May 2013, Netflix stated its view on the future of television (PDF): “Over the coming decades and across the world, Internet TV will replace linear TV. Apps will replace channels, remote controls will disappear, and screens will proliferate. As Internet TV grows from millions to billions, Netflix, HBO, and ESPN are leading the way.”

June 18, 1948

Columbia Records introduces the LP (long playing) record at a press conference in the Waldorf Astoria hotel in New York.

At the time the LP was introduced, nearly all phonograph records for home use were made of an abrasive (and therefore noisy) shellac compound, employed a much larger groove, and played at approximately 78 revolutions per minute (rpm), limiting the playing time of a 12-inch diameter record to less than five minutes per side. The new product was a 12- or 10-inch (30 or 25 cm) fine-grooved disc made of vinyl and played with a smaller-tipped "microgroove" stylus at a speed of 33 1⁄3 rpm. Each side of a 12-inch LP could play for more than 20 minutes.

The LP was developed—and became the standard for record industry for half a century—when Columbia's president Edward Wallerstein insisted on hearing an entire movement of a symphony on one side of an album. Ward Botsford in High Fidelity magazine: "He was no inventor—he was simply a man who seized an idea whose time was ripe and begged, ordered, and cajoled a thousand men into bringing into being the now accepted medium of the record business."

Mon, 18 Jul 2022 05:33:00 -0500 Gil Press en text/html https://www.forbes.com/sites/gilpress/2016/06/12/birth-of-ibm-oracle-and-calculating-machines-this-week-in-tech-history/
Killexams : Operational Intelligence Market May See a Big Move | Open Text, Splunk, Axway Software, IBM

Advance Market Analytics published a new research publication on “Operational Intelligence Market Insights, to 2027” with 232 pages and enriched with self-explained Tables and charts in presentable format. In the Study you will find new evolving Trends, Drivers, Restraints, Opportunities generated by targeting market associated stakeholders. The growth of the Operational Intelligence market was mainly driven by the increasing R&D spending across the world.

Get Free Exclusive PDF trial Copy of This Research @ https://www.advancemarketanalytics.com/sample-report/6900-global-operational-intelligence-market#utm_source=DigitalJournalLal

Some of the key players profiled in the study are: SAP SE (Germany), Hewlett Packard Enterprise Co. (United States), Axway Software SA (France), IBM Corporation (United States), Amazon.com, Inc. (United States), Infor (United States), Oracle Corporation (United States), Splunk Inc. (United States), Open Text Corp. (Canada) , Zoho Corporation (India).

Scope of the Report of Operational Intelligence
Operational Intelligence is basically use of business analytics tool using real time data and past data patterns to make better business decisions. Operational Intelligence requires proper collection of data both structured and unstructured to process them through various analytics tools including use of Artificial Intelligence and Machine Learning. Financial Services, IT and Logistics experience most dominant use of operational intelligence for decision making. Geographically, North America is the biggest market, but Asia Pacific with rising economies present brilliant prospectus for the growth of Operational Intelligence market especially targeting SMEs.

The titled segments and sub-section of the market are illuminated below:

by Deployment Type (Cloud Based, On Premise Based), End Use (BFSI, IT and Telecom, Healthcare, Retail, Transportation and Logistics, Energy and Power, Others), Organisation Size (Large Enterprises, SMEs), Component (Software, Services)

Market Trends:
Use of Artificial Intelligence is increasing in Decision Making

Opportunities:
SMEs Segment are one of the Least Explored Market and Thus Companies should capitalise on the same

Market Drivers:
Rising Adoption of Cloud Computing
Improvement in Connectivity Technology

Region Included are: North America, Europe, Asia Pacific, Oceania, South America, Middle East & Africa

Country Level Break-Up: United States, Canada, Mexico, Brazil, Argentina, Colombia, Chile, South Africa, Nigeria, Tunisia, Morocco, Germany, United Kingdom (UK), the Netherlands, Spain, Italy, Belgium, Austria, Turkey, Russia, France, Poland, Israel, United Arab Emirates, Qatar, Saudi Arabia, China, Japan, Taiwan, South Korea, Singapore, India, Australia and New Zealand etc.

Have Any Questions Regarding Global Operational Intelligence Market Report, Ask Our [email protected] https://www.advancemarketanalytics.com/enquiry-before-buy/6900-global-operational-intelligence-market#utm_source=DigitalJournalLal

Strategic Points Covered in Table of Content of Global Operational Intelligence Market:

Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the Operational Intelligence market

Chapter 2: Exclusive Summary – the basic information of the Operational Intelligence Market.

Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges & Opportunities of the Operational Intelligence

Chapter 4: Presenting the Operational Intelligence Market Factor Analysis, Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.

Chapter 5: Displaying the by Type, End User and Region/Country 2015-2020

Chapter 6: Evaluating the leading manufacturers of the Operational Intelligence market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile

Chapter 7: To evaluate the market by segments, by countries and by Manufacturers/Company with revenue share and sales by key countries in these various regions (2021-2027)

Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source

finally, Operational Intelligence Market is a valuable source of guidance for individuals and companies.

Read Detailed Index of full Research Study at @ https://www.advancemarketanalytics.com/reports/6900-global-operational-intelligence-market#utm_source=DigitalJournalLal

Thanks for memorizing this article; you can also get individual chapter wise section or region wise report version like North America, Middle East, Africa, Europe or LATAM, Southeast Asia.

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Mon, 01 Aug 2022 19:19:00 -0500 Newsmantraa en-US text/html https://www.digitaljournal.com/pr/operational-intelligence-market-may-see-a-big-move-open-text-splunk-axway-software-ibm
Killexams : Amazon, IBM Move Swiftly on Post-Quantum Cryptographic Algorithms Selected by NIST

A month after the National Institute of Standards and Technology (NIST) revealed the first quantum-safe algorithms, Amazon Web Services (AWS) and IBM have swiftly moved forward. Google was also quick to outline an aggressive implementation plan for its cloud service that it started a decade ago.

It helps that IBM researchers contributed to three of the four algorithms, while AWS had a hand in two. Google contributed to one of the submitted algorithms, SPHINCS+.

A long process that started in 2016 with 69 original candidates ends with the selection of four algorithms that will become NIST standards, which will play a critical role in protecting encrypted data from the vast power of quantum computers.

NIST's four choices include CRYSTALS-Kyber, a public-private key-encapsulation mechanism (KEM) for general asymmetric encryption, such as when connecting websites. For digital signatures, NIST selected CRYSTALS-Dilithium, FALCON, and SPHINCS+. NIST will add a few more algorithms to the mix in two years.

Vadim Lyubashevsky, a cryptographer who works in IBM's Zurich Research Laboratories, contributed to the development of CRYSTALS-Kyber, CRYSTALS-Dilithium, and Falcon. Lyubashevsky was predictably pleased by the algorithms selected, but he had only anticipated NIST would pick two digital signature candidates rather than three.

Ideally, NIST would have chosen a second key establishment algorithm, according to Lyubashevsky. "They could have chosen one more right away just to be safe," he told Dark Reading. "I think some people expected McEliece to be chosen, but maybe NIST decided to hold off for two years to see what the backup should be to Kyber."

IBM's New Mainframe Supports NIST-Selected Algorithms

After NIST identified the algorithms, IBM moved forward by specifying them into its recently launched z16 mainframe. IBM introduced the z16 in April, calling it the "first quantum-safe system," enabled by its new Crypto Express 8S card and APIs that provide access to the NIST APIs.

IBM was championing three of the algorithms that NIST selected, so IBM had already included them in the z16. Since IBM had unveiled the z16 before the NIST decision, the company implemented the algorithms into the new system. IBM last week made it official that the z16 supports the algorithms.

Anne Dames, an IBM distinguished engineer who works on the company's z Systems team, explained that the Crypto Express 8S card could implement various cryptographic algorithms. Nevertheless, IBM was betting on CRYSTAL-Kyber and Dilithium, according to Dames.

"We are very fortunate in that it went in the direction we hoped it would go," she told Dark Reading. "And because we chose to implement CRYSTALS-Kyber and CRYSTALS-Dilithium in the hardware security module, which allows clients to get access to it, the firmware in that hardware security module can be updated. So, if other algorithms were selected, then we would add them to our roadmap for inclusion of those algorithms for the future."

A software library on the system allows application and infrastructure developers to incorporate APIs so that clients can generate quantum-safe digital signatures for both classic computing systems and quantum computers.

"We also have a CRYSTALS-Kyber interface in place so that we can generate a key and provide it wrapped by a Kyber key so that could be used in a potential key exchange scheme," Dames said. "And we've also incorporated some APIs that allow clients to have a key exchange scheme between two parties."

Dames noted that clients might use Kyber to generate digital signatures on documents. "Think about code signing servers, things like that, or documents signing services, where people would like to actually use the digital signature capability to ensure the authenticity of the document or of the code that's being used," she said.

AWS Engineers Algorithms Into Services

During Amazon's AWS re:Inforce security conference last week in Boston, the cloud provider emphasized its post-quantum cryptography (PQC) efforts. According to Margaret Salter, director of applied cryptography at AWS, Amazon is already engineering the NIST standards into its services.

During a breakout session on AWS' cryptography efforts at the conference, Salter said AWS had implemented an open source, hybrid post-quantum key exchange based on a specification called s2n-tls, which implements the Transport Layer Security (TLS) protocol across different AWS services. AWS has contributed it as a draft standard to the Internet Engineering Task Force (IETF).

Salter explained that the hybrid key exchange brings together its traditional key exchanges while enabling post-quantum security. "We have regular key exchanges that we've been using for years and years to protect data," she said. "We don't want to get rid of those; we're just going to enhance them by adding a public key exchange on top of it. And using both of those, you have traditional security, plus post quantum security."

Last week, Amazon announced that it deployed s2n-tls, the hybrid post-quantum TLS with CRYSTALS-Kyber, which connects to the AWS Key Management Service (AWS KMS) and AWS Certificate Manager (ACM). In an update this week, Amazon documented its stated support for AWS Secrets Manager, a service for managing, rotating, and retrieving database credentials and API keys.

Google's Decade-Long PQC Migration

While Google didn't make implementation announcements like AWS in the immediate aftermath of NIST's selection, VP and CISO Phil Venables said Google has been focused on PQC algorithms "beyond theoretical implementations" for over a decade. Venables was among several prominent researchers who co-authored a technical paper outlining the urgency of adopting PQC strategies. The peer-reviewed paper was published in May by Nature, a respected journal for the science and technology communities.

"At Google, we're well into a multi-year effort to migrate to post-quantum cryptography that is designed to address both immediate and long-term risks to protect sensitive information," Venables wrote in a blog post published following the NIST announcement. "We have one goal: ensure that Google is PQC ready."

Venables recalled an experiment in 2016 with Chrome where a minimal number of connections from the Web browser to Google servers used a post-quantum key-exchange algorithm alongside the existing elliptic-curve key-exchange algorithm. "By adding a post-quantum algorithm in a hybrid mode with the existing key exchange, we were able to test its implementation without affecting user security," Venables noted.

Google and Cloudflare announced a "wide-scale post-quantum experiment" in 2019 implementing two post-quantum key exchanges, "integrated into Cloudflare's TLS stack, and deployed the implementation on edge servers and in Chrome Canary clients." The experiment helped Google understand the implications of deploying two post-quantum key agreements with TLS.

Venables noted that last year Google tested post-quantum confidentiality in TLS and found that various network products were not compatible with post-quantum TLS. "We were able to work with the vendor so that the issue was fixed in future firmware updates," he said. "By experimenting early, we resolved this issue for future deployments."

Other Standards Efforts

The four algorithms NIST announced are an important milestone in advancing PQC, but there's other work to be done besides quantum-safe encryption. The AWS TLS submission to the IETF is one example; others include such efforts as Hybrid PQ VPN.

"What you will see happening is those organizations that work on TLS protocols, or SSH, or VPN type protocols, will now come together and put together proposals which they will evaluate in their communities to determine what's best and which protocols should be updated, how the certificates should be defined, and things like things like that," IBM's Dames said.

Dustin Moody, a mathematician at NIST who leads its PQC project, shared a similar view during a panel discussion at the RSA Conference in June. "There's been a lot of global cooperation with our NIST process, rather than fracturing of the effort and coming up with a lot of different algorithms," Moody said. "We've seen most countries and standards organizations waiting to see what comes out of our nice progress on this process, as well as participating in that. And we see that as a very good sign."

Thu, 04 Aug 2022 10:39:00 -0500 en text/html https://www.darkreading.com/dr-tech/amazon-ibm-move-swiftly-on-post-quantum-cryptographic-algorithms-selected-by-nist
Killexams : Artificial Intelligence (AI) in Insurance Market May See a Big Move : Google, Microsoft , IBM: Long Term Growth Story

New Jersey, NJ -- (SBWIRE) -- 07/31/2022 -- The Global Artificial Intelligence (AI) in Insurance Market Report assesses developments relevant to the insurance industry and identifies key risks and vulnerabilities for the Artificial Intelligence (AI) in Insurance Industry to make stakeholders aware with current and future scenarios. To derive complete assessment and market estimates a wide list of Insurers, aggregators, agency were considered in the coverage; Some of the top players profiled are Google, Microsoft Corporation, Amazon Web Services Inc, IBM Corporation, Avaamo Inc, Baidu Inc, Cape Analytics LLC, Oracle Corporation & ?Artificial Intelligence (AI) in InsuranceMarket Scope and Market Breakdown.

Next step one should take to boost topline? Track recent strategic moves and product landscape of Artificial Intelligence (AI) in Insurance market.

Get Free Access of Global Artificial Intelligence (AI) in Insurance Market Research trial PDF https://www.htfmarketreport.com/sample-report/3570714-global-artificial-intelligence-205

Globally, the insurance industry experienced strong premium growth in 2022, at percent, whereas growth in 2022 is noticeably slower, at percent. Total premiums (GWP) are expected to reach ... by 2028. Artificial Intelligence (AI) in Insurance Companies seeking top growth opportunities in the global insurance markets can explore both the fastest-growing markets and the largest developed markets; the slowing growth rates suggest; however, most carriers would also need to search farther afield. "The growth during this period will be fuelled by the emerging markets in the APAC and Latin American regions"

The report depicts the total market of Artificial Intelligence (AI) in Insurance industry; further market is broken down by application [on, Life Insurance, Car Insurance, Property Insurance, Channel, By Channels, Market has been segmented into, Direct Sales, Distribution Channel, Regional & Country Analysis, North America Country (United States, Canada), South America (Brazil, Argentina, Peru, Chile, Rest of South America), Asia-Pacific (China, Japan, India, South Korea, Australia, Singapore, Malaysia, Indonesia, Philippines, Thailand, Vietnam, Others), Europe (Germany, United Kingdom, France, Italy, Spain, Switzerland, Netherlands, Austria, Sweden, Norway, Belgium, Rest of Europe) & Rest of World [GCC, South Africa, Egypt, Turkey, Israel, Others]], type [, Software & Platform] and country.

Geographically, the global version of report covers following regions and country:
- North America [United States, Canada and Mexico]
- Europe [Germany, the UK, France, Italy, Netherlands, Belgium, Russia, Spain, Sweden, and Rest of Europe]
- Asia-Pacific [China, Japan, South Korea, India, Australia, Southeast Asia and Others]
- South America [Brazil, Argentina, Chile and Rest of South America]
- Middle East and Africa (South Africa, Turkey, Israel, GCC Countries and Rest of Africa)

Browse Executive Summary and Complete Table of Content @ https://www.htfmarketreport.com/reports/3570714-global-artificial-intelligence-205

Research Approach & Assumptions:

- HTF MI describe major trends of Global Artificial Intelligence (AI) in Insurance Market using final data for 2022 and previous years, as well as quarterly or annual reports for 2022. In general, Years considered in the study i.e. base year as 2022, Historical data considered as 2022-2028and Forecast time frame is 2022-2028.

- Various analytical tools were used to assess how the insurance Sector and particularly Artificial Intelligence (AI) in Insurance Industry might respond over the next decade to global macroeconomic shifts. Our "consensus scenario" assumes a recovery of Global GDP growth in the coming years in addition to fluctuating interest rates; the results presented in Artificial Intelligence (AI) in Insurance Market report reflect the output of this model.

- While calculating growth of Artificial Intelligence (AI) in Insurance Market, we generally used nominal gross premium figures based on 2022 fixed exchange rates, since this data allowed us to compare local growth rates without the interference of currency fluctuations. The exceptions, which use floating exchange rates, are Argentina, Ukraine, and Venezuela, many African Countries etc due to high inflation rates.

Get full access to Global Artificial Intelligence (AI) in Insurance Market Report; Buy Latest Edition Now @: https://www.htfmarketreport.com/buy-now?format=1&report=3570714

Thanks for memorizing Artificial Intelligence (AI) in Insurance Industry research publication; you can also get individual chapter wise section or region wise report version like USA, China, Southeast Asia, LATAM, APAC etc.

About Author:
HTF Market Intelligence consulting is uniquely positioned empower and inspire with research and consulting services to empower businesses with growth strategies, by offering services with extraordinary depth and breadth of thought leadership, research, tools, events and experience that assist in decision making.

For more information on this press release visit: http://www.sbwire.com/press-releases/artificial-intelligence-ai-in-insurance-market-may-see-a-big-move-google-microsoft-ibm-1358920.htm

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Sun, 31 Jul 2022 10:49:00 -0500 en-US text/html https://insurancenewsnet.com/oarticle/artificial-intelligence-ai-in-insurance-market-may-see-a-big-move-google-microsoft-ibm-long-term-growth-story-28
Killexams : Cloud Augmented Intelligence Market – Major Technology Giants in Buzz Again | MicroStrategy, SAP, IBM, SAS, CognitiveScale

Advance Market Analytics published a new research publication on “Cloud Augmented Intelligence Market Insights, to 2027” with 232 pages and enriched with self-explained Tables and charts in presentable format. In the Study you will find new evolving Trends, Drivers, Restraints, Opportunities generated by targeting market associated stakeholders. The growth of the Cloud Augmented Intelligence market was mainly driven by the increasing R&D spending across the world.

Get Free Exclusive PDF trial Copy of This Research @ https://www.advancemarketanalytics.com/sample-report/200211-global-cloud-augmented-intelligence-market#utm_source=DigitalJournalLal

Some of the key players profiled in the study are: AWS (United States), Microsoft (United States), Salesforce (United States), SAP (Germany), IBM (United States), SAS (United States), CognitiveScale (United States), QlikTech International (United States), TIBCO (United States), Google (United States), MicroStrategy (United States) and Sisense (United States).

Scope of the Report of Cloud Augmented Intelligence
The global market for cloud augmented intelligence is growing as organisations increasingly leverage cutting-edge technologies like big data, block chain, artificial intelligence, and the internet of things to meet customer expectations. Additionally, the market’s expansion is positively impacted by the spike in demand for business intelligence products. However, factors including software implementation challenges and a shortage of cloud augmented intelligence certified are anticipated to restrain market expansion. In contrast, it is anticipated that throughout the forecast period, significant companies would advance their use of augmented intelligence solutions and the volume and variety of data will expand within an automated process, providing lucrative chances for the market’s growth.

The titled segments and sub-section of the market are illuminated below:

by Technology (Machine Learning, Natural Language Processing, Computer Vision, Others), Industry Vertical (IT & Telecom, Retail & E-Commerce, BFSI, Healthcare, Manufacturing, Automotive, Others), Component (Software, Service), Organisation Size (Small & Medium, Large) Players and Region – Global Market Outlook to 2027

Opportunities:
Solutions for Cloud Augmented Intelligence Are Widely Used By SMES
Increased Use of Technology for Machine Learning, Artificial Intelligence, and Natural Language Processing

Market Drivers:
A Growing Amount of Sophisticated Corporate Data
Expanding Use of Cutting-Edge Cloud Augmented Intelligence and Analytics Tools

Have Any Questions Regarding Global Cloud Augmented Intelligence Market Report, Ask Our [email protected] https://www.advancemarketanalytics.com/enquiry-before-buy/200211-global-cloud-augmented-intelligence-market#utm_source=DigitalJournalLal

Region Included are: North America, Europe, Asia Pacific, Oceania, South America, Middle East & Africa

Country Level Break-Up: United States, Canada, Mexico, Brazil, Argentina, Colombia, Chile, South Africa, Nigeria, Tunisia, Morocco, Germany, United Kingdom (UK), the Netherlands, Spain, Italy, Belgium, Austria, Turkey, Russia, France, Poland, Israel, United Arab Emirates, Qatar, Saudi Arabia, China, Japan, Taiwan, South Korea, Singapore, India, Australia and New Zealand etc.

Latest Market Insights:

In January 2022, Microsoft Corp. announced its plans to acquire Activision Blizzard Inc., a leader in game development and interactive entertainment content publisher. This acquisition will accelerate the growth in Microsoft’s gaming business across mobile, PC, console and cloud and will provide building blocks for the met averse.

In March 2022, Schlumberger partnered with Dataiku to provide customers with a single, centralized platform for designing, deploying, governing, and managing AI and analytics applications, allowing everyday users to create low-code no-code AI solutions. and In April 2021, Oracle made its GoldenGate technology available as a highly automated, fully managed cloud service that clients can use to help ensure that their valuable data is always available and analyzable in real-time, wherever they need it.

Strategic Points Covered in Table of Content of Global Cloud Augmented Intelligence Market:

Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the Cloud Augmented Intelligence market

Chapter 2: Exclusive Summary – the basic information of the Cloud Augmented Intelligence Market.

Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges & Opportunities of the Cloud Augmented Intelligence

Chapter 4: Presenting the Cloud Augmented Intelligence Market Factor Analysis, Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.

Chapter 5: Displaying the by Type, End User and Region/Country 2015-2020

Chapter 6: Evaluating the leading manufacturers of the Cloud Augmented Intelligence market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile

Chapter 7: To evaluate the market by segments, by countries and by Manufacturers/Company with revenue share and sales by key countries in these various regions (2021-2027)

Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source

finally, Cloud Augmented Intelligence Market is a valuable source of guidance for individuals and companies.

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Killexams : Healthcare Analytics Market Top Key Players Analysis | IBM, Elsevier, McKesson Corporation, Oracle and Medeanalytics, Inc.

Market Data Centre

Healthcare Analytics Market 2022 - 2030 - Vendor Assessment (Company Profiles, Market Positioning, Strategies, recent Developments, Capabilities & Product Offerings / Mapping), Technology Assessment (Developments & Economic Impact), Partner & Customer Ecosystem (Product Services, Proposition & Key Features) Competitive Index & Regional FootPrint by MDC Research

Pune, Aug. 05, 2022 (GLOBE NEWSWIRE) -- Healthcare Analytics Market by Vendor Assessment, Technology Assessment, Partner & Customer Ecosystem, type/solution, service, organization size, end-use verticals, and Region – Global Healthcare Analytics Market Forecast to 2030, published by Market Data Centre, The Healthcare Analytics Market is projected to grow at a solid pace during the forecast period. The presence of key players in the ecosystem has led to a compsetitive and diverse market. The advancement of digital transformation initiatives across multiple industries is expected to drive the worldwide Healthcare Analytics Market during the study period.

This COVID-19 analysis of the report includes COVID-19 IMPACT on the production and, demand, supply chain. This report provides a detailed historical analysis of the global Healthcare Analytics Market from 2017-to 2021 and provides extensive market forecasts from 2022-to 2030 by region/country and subsectors. The report covers the revenue, sales volume, price, historical growth, and future perspectives in the Healthcare Analytics Market.

Download Free trial PDF@ https://www.marketdatacentre.com/samplepdf/13537

                                                                                                                                         

Regional Analysis:

On the basis of Geography, the Global Healthcare Analytics Market is segmented into North America, Europe, Asia-Pacific, and the Rest of the World (RoW). North America is expected to hold a considerable share in the global Healthcare Analytics Market. Due to increasing investment for research and development process and adoption of solutions in the region whereas Asia-Pacific is expected to grow at a faster pace during the forecasted period.

The growing number of Healthcare Analytics Market players across regions is expected to drive market growth further. Moreover, increasing investments by prominent vendors in product capabilities and business expansion is expected to fuel the market during the study period. Many market players are finding lucrative opportunities in emerging economies like China and India, where the large populations are coupled with new innovations in numerous industries.

List of Companies Covered in this Report are:

  • Verisk Analytics, Inc.

  • Elsevier

  • Medeanalytics, Inc.

  • Truven Health Analytics, Inc.

  • Allscripts Healthcare Solutions, Inc.

  • Cerner Corporation

  • McKesson Corporation

  • Optum, Inc.

  • IBM

  • Oracle

  • SAS Institute, Inc.

  • IQVIA

  • Among others.

Market Assessment

Technology Assessment

Vendor Assessment

Market Dynamics

Key Innovations

Product Breadth and Capabilities

Trends and Challenges

Adoption Trends and Challenges

Technology Architecture

Drivers and Restrains

Deployment Trends

Competitive Differentiation

Regional and Industry Dynamics

Industry Applications

Price/Performance Analysis

Regulations and Compliance

Latest Upgrardation

Strategy and Vision


In deep ToC includes

233 – Tables

45  – Figures

300 – Pages

Get Table Of Content of the Report @ https://www.marketdatacentre.com/toc/13537

                                                                                                                                  

Table of Contents                                                                           

1.      INTRODUCTION
1.1.   Market Definition
1.2.   Market Segmentation
1.3.   Geographic Scope
1.4.   Years Considered: Historical Years – 2017 & 2020; Base Year – 2021; Forecast Years – 2022 to 2030
1.5.   Currency Used
2.      RESEARCH METHODOLOGY
2.1.   Research Framework
2.2.   Data Collection Technique
2.3.   Data Sources
2.3.1.      Secondary Sources
2.3.2.      Primary Sources
2.4.   Market Estimation Methodology
2.4.1.      Bottom-Up Approach
2.4.2.      Top-Down Approach
2.5.   Data Validation and Triangulation
2.5.1.      Market Forecast Model
2.5.2.      Limitations/Assumptions of the Study
3.      ABSTRACT OF THE STUDY
4.      MARKET DYNAMICS ASSESSMENT
4.1.   Overview
4.2.   Drivers
4.3.   Barriers/Challenges
4.4.   Opportunities
5.      VALUE CHAIN ANALYSIS
6.      PRICING ANALYSIS
7.      SUPPLY CHAIN ANALYSIS
8.      MARKET SIZING AND FORECASTING
8.1.   Global - Healthcare Analytics Market Analysis & Forecast, By Region
8.2.   Global - Healthcare Analytics Market Analysis & Forecast, By Segment
8.2.1.      North America Healthcare Analytics Market, By Segment
8.2.2.      North America Healthcare Analytics Market, By Country
8.2.2.1.            US
8.2.2.2.            Canada
8.2.3.      Europe Healthcare Analytics Market, By Segment
8.2.4.      Europe Healthcare Analytics Market, By Country
8.2.4.1.            Germany
8.2.4.2.            UK
8.2.4.3.            France
8.2.4.4.            Rest of Europe (ROE)
8.2.5.      Asia Pacific Healthcare Analytics Market, By Segment
8.2.6.      Asia Pacific Healthcare Analytics Market, By Country
8.2.6.1.            China
8.2.6.2.            Japan
8.2.6.3.            India
8.2.6.4.            Rest of Asia Pacific (RoAPAC)
8.2.7.      Rest of the World (ROW) Healthcare Analytics Market, By Segment
8.2.8.      Rest of the World (ROW) Healthcare Analytics Market, By Country
8.2.8.1.            Latin America
8.2.8.2.            Middle East & Africa

ToC can be modified as per clients' business requirements*

Read Overview of the Report @ https://www.marketdatacentre.com/healthcare-analytics-market-13537

                                                                

Key Questions Answered in This Report:

  • How does our product and services portfolio compare to leading competitors?

  • What are the key developments in customer demand given the changing economy?

  • What are the new pricing and consumption models in the marketplace and how should we align our portfolio?

  • What are the key decision drivers for services buyers?

  • How can we accelerate our bidding process?

  • What is the potential of the Healthcare Analytics Market?

  • What is the impact of COVID-19 on the global Healthcare Analytics Market?

  • What are the top strategies that companies adopting in Healthcare Analytics Market?

  • What are the challenges faced by SME’s and prominent vendors in Healthcare Analytics Market?

  • Which region has the highest investments in Healthcare Analytics Market?

  • What are the latest research and activities in Healthcare Analytics Market?

  • Who are the prominent players in Healthcare Analytics Market?

  • What is the potential of the Healthcare Analytics Market?

Vendor Assessment

Vendor assessment includes a deep analysis of how vendors are addressing  the demand in the Healthcare Analytics Market. The MDC CompetetiveScape model was used to assess qualitative and quantitative insights in this assessment. MDC's CompetitiveScape is a structured method for identifying key players and outlining their strengths, relevant characteristics, and outreach strategy. MDC's CompetitiveScape allows organizations to analyze the environmental factors that influence their business, set goals, and identify new marketing strategies. MDC Research analysts conduct a thorough investigation of vendors' solutions, services, programs, marketing, organization size, geographic focus, type of organization and strategies.

Technology Assessment

Technology dramatically impacts business productivity, growth and efficiency.Technologies can help companies develop competitive advantages, but choosing them can be one of the most demanding decisions for businesses. Technology assessment helps organizations to understand their current situation with respect to technology and offer a roadmap where they might want to go and scale their business. A well-defined process to assess and select technology solutions can help organizations reduce risk, achieve objectives, identify the problem, and solve it in the right way. Technology assessment can help businesses identify which technologies to invest in, meet industry standards, compete against competitors.

Business Ecosystem Analysis

Advancements in technology and digitalization have changed the way companies do business; the concept of a business ecosystem helps businesses understand how to thrive in this changing environment. Business ecosystems provide organizations with opportunities to integrate technology in their daily business operations and Boost research and business competency. The business ecosystem includes a network of interlinked companies that compete  and cooperate to increase sales, Boost profitability, and succeed in their markets. An ecosystem analysis is a business network analysis that includes the relationships amongst suppliers, distributors, and end-users in delivering a product or service.

Get a trial Copy of the Report @ https://www.marketdatacentre.com/sample/13537

Regions and Countries Covered

North America (US, Canada), Europe (Germany, UK, France, Spain, Italy, and Rest of Europe), Asia-Pacific (Japan, China, Australia, India, Rest of Asia-Pacific), and Rest of the World (RoW).

Report Coverage

Healthcare Analytics Market Dynamics, Covid-19 Impact on the Healthcare Analytics Market, Vendor Profiles, Vendor Assessment, Strategies, Technology Assessment, Product Mapping, Industry Outlook, Economic Analysis, Segmental Analysis, Healthcare Analytics Market Sizing, Analysis Tables.

Buy Exclusive Report @ https://www.marketdatacentre.com/checkout/13537

                                                                                                                          

About MDC:

Market Data Centre (Subsidiary of Yellow Bricks Global Services Private Limited)

Market Data Centre offers complete solutions for market research reports in miscellaneous businesses.These decisions making process depend on wider and systematic extremely important information created through extensive study as well as the most recent trends going on in the industry.The company also attempts to offer much better customer-friendly services and appropriate business information to achieve our clients’ ideas.

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Fri, 05 Aug 2022 01:19:00 -0500 en-US text/html https://finance.yahoo.com/news/healthcare-analytics-market-top-key-131900598.html
Killexams : IBM is about to launch its first ever cloud-based mainframe No result found, try new keyword!IBM has confirmed the launch date for its new mainframe-as-a-service offering, several months after the project was first announced. In a press release, Big Blue confirmed that mainframes running ... Wed, 29 Jun 2022 04:21:00 -0500 en-gb text/html https://www.msn.com/en-gb/money/technology/ibm-is-about-to-launch-its-first-ever-cloud-based-mainframe/ar-AAZ0kr4 Killexams : CIOReview Names Cobalt Iron Among 10 Most Promising IBM Solution Providers 2022

LAWRENCE, Kan.--(BUSINESS WIRE)--Jul 28, 2022--

Cobalt Iron Inc., a leading provider of SaaS-based enterprise data protection, today announced that the company has been deemed one of the 10 Most Promising IBM Solution Providers 2022 by CIOReview Magazine. The annual list of companies is selected by a panel of experts and members of CIOReview Magazine’s editorial board to recognize and promote innovation and entrepreneurship. A technology partner for IBM, Cobalt Iron earned the distinction based on its Compass ® enterprise SaaS backup platform for monitoring, managing, provisioning, and securing the entire enterprise backup landscape.

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20220728005043/en/

Cobalt Iron Compass® is a SaaS-based data protection platform leveraging strong IBM technologies for delivering a secure, modernized approach to data protection. (Graphic: Business Wire)

According to CIOReview, “Cobalt Iron has built a patented cyber-resilience technology in a SaaS model to alleviate the complexities of managing large, multivendor setups, providing an effectual humanless backup experience. This SaaS-based data protection platform, called Compass, leverages strong IBM technologies. For example, IBM Spectrum Protect is embedded into the platform from a data backup and recovery perspective. ... By combining IBM’s technologies and the intellectual property built by Cobalt Iron, the company delivers a secure, modernized approach to data protection, providing a ‘true’ software as a service.”

Through proprietary technology, the Compass data protection platform integrates with, automates, and optimizes best-of-breed technologies, including IBM Spectrum Protect, IBM FlashSystem, IBM Red Hat Linux, IBM Cloud, and IBM Cloud Object Storage. Compass enhances and extends IBM technologies by automating more than 80% of backup infrastructure operations, optimizing the backup landscape through analytics, and securing backup data, making it a valuable addition to IBM’s data protection offerings.

CIOReview also praised Compass for its simple and intuitive interface to display a consolidated view of data backups across an entire organization without logging in to every backup product instance to extract data. The machine learning-enabled platform also automates backup processes and infrastructure, and it uses open APIs to connect with ticket management systems to generate tickets automatically about any backups that need immediate attention.

To ensure the security of data backups, Cobalt Iron has developed an architecture and security feature set called Cyber Shield for 24/7 threat protection, detection, and analysis that improves ransomware responsiveness. Compass is also being enhanced to use several patented techniques that are specific to analytics and ransomware. For example, analytics-based cloud brokering of data protection operations helps enterprises make secure, efficient, and cost-effective use of their cloud infrastructures. Another patented technique — dynamic IT infrastructure optimization in response to cyberthreats — offers unique ransomware analytics and automated optimization that will enable Compass to reconfigure IT infrastructure automatically when it detects cyberthreats, such as a ransomware attack, and dynamically adjust access to backup infrastructure and data to reduce exposure.

Compass is part of IBM’s product portfolio through the IBM Passport Advantage program. Through Passport Advantage, IBM sellers, partners, and distributors around the world can sell Compass under IBM part numbers to any organizations, particularly complex enterprises, that greatly benefit from the automated data protection and anti-ransomware solutions Compass delivers.

CIOReview’s report concludes, “With such innovations, all eyes will be on Cobalt Iron for further advancements in humanless, secure data backup solutions. Cobalt Iron currently focuses on IP protection and continuous R&D to bring about additional cybersecurity-related innovations, promising a more secure future for an enterprise’s data.”

About Cobalt Iron

Cobalt Iron was founded in 2013 to bring about fundamental changes in the world’s approach to secure data protection, and today the company’s Compass ® is the world’s leading SaaS-based enterprise data protection system. Through analytics and automation, Compass enables enterprises to transform and optimize legacy backup solutions into a simple cloud-based architecture with built-in cybersecurity. Processing more than 8 million jobs a month for customers in 44 countries, Compass delivers modern data protection for enterprise customers around the world. www.cobaltiron.com

Product or service names mentioned herein are the trademarks of their respective owners.

Link to Word Doc:www.wallstcom.com/CobaltIron/220728-Cobalt_Iron-CIOReview_Top_IBM_Provider_2022.docx

Photo Link:www.wallstcom.com/CobaltIron/Cobalt_Iron_CIO_Review_Top_IBM_Solution_Provider_Award_Logo.pdf

Photo Caption: Cobalt Iron Compass ® is a SaaS-based data protection platform leveraging strong IBM technologies for delivering a secure, modernized approach to data protection.

Follow Cobalt Iron

https://twitter.com/cobaltiron

https://www.linkedin.com/company/cobalt-iron/

https://www.youtube.com/user/CobaltIronLLC

View source version on businesswire.com:https://www.businesswire.com/news/home/20220728005043/en/

CONTACT: Agency Contact:

Sunny Branson

Wall Street Communications

Tel: +1 801 326 9946

Email:sunny@wallstcom.com

Web:www.wallstcom.comCobalt Iron Contact:

Mary Spurlock

VP of Marketing

Tel: +1 785 979 9461

Email:maspurlock@cobaltiron.com

Web:www.cobaltiron.com

KEYWORD: EUROPE UNITED STATES NORTH AMERICA KANSAS

INDUSTRY KEYWORD: DATA MANAGEMENT SECURITY TECHNOLOGY SOFTWARE NETWORKS INTERNET

SOURCE: Cobalt Iron

Copyright Business Wire 2022.

PUB: 07/28/2022 09:00 AM/DISC: 07/28/2022 09:03 AM

http://www.businesswire.com/news/home/20220728005043/en

Thu, 28 Jul 2022 01:29:00 -0500 en text/html https://www.eagletribune.com/region/cioreview-names-cobalt-iron-among-10-most-promising-ibm-solution-providers-2022/article_56f7dda7-cbd5-586a-9d5f-f882022100da.html
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