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Database Administrator Courses

Database professionals are in high demand. If you already work as one, you probably know this. And if you are looking to become a database administrator, that high demand and the commensurate salary may be what is motivating you to make this career move. 

How can you advance your career as a database administrator? By taking the courses on this list.

If you want to learn more about database administration to expand your knowledge and move up the ladder in this field, these courses can help you achieve that goal.

Oracle DBA 11g/12c – Database Administration for Junior DBA from Udemy

Udemy’s Oracle DBA 11g/12c – Database Administration for Junior DBA course can help you get a high-paying position as an Oracle Database Administrator. 

Best of all, it can do it in just six weeks.

This database administrator course is a Udemy bestseller that is offered in eight languages. Over 29,000 students have taken it, giving it a 4.3-star rating. Once you complete it and become an Oracle DBA, you will be able to:

  • Install the Oracle database.
  • Manage Tablespace.
  • Understand database architecture.
  • Administer user accounts.
  • Perform backup and recovery.
  • Diagnose problems.

To take the intermediate-level course that includes 11 hours of on-demand video spanning 129 lectures, you should have basic knowledge of UNIX/LINUX commands and SQL.

70-462: SQL Server Database Administration (DBA)

The 70-462: SQL Server Database Administration (DBA) course from Udemy was initially designed to help beginner students ace the Microsoft 70-462 exam. Although that test has been officially withdrawn, you can still use this course to gain some practical experience with database administration in SQL Server.

Many employers seek SQL Server experience since it is one of the top database tools. Take the 70-462: SQL Server Database Administration (DBA) course, and you can gain valuable knowledge on the syllabu and provide your resume a nice boost.

Some of the skills you will learn in the 70-462 course include:

  • Managing login and server roles.
  • Managing and configuring databases.
  • Importing and exporting data.
  • Planning and installing SQL Server and related services.
  • Implementing migration strategies.
  • Managing SQL Server Agent.
  • Collecting and analyzing troubleshooting data.
  • Implementing and maintaining indexes.
  • Creating backups.
  • Restoring databases.

DBA knowledge is not needed to take the 10-hour course that spans 100 lectures, and you will not need to have SQL Server already installed on your computer. In terms of popularity, this is a Udemy bestseller with a 4.6-star rating and over 20,000 students.

MySQL Database Administration: Beginner SQL Database Design from Udemy

Nearly 10,000 students have taken the MySQL Database Administration: Beginner SQL Database Design course on Udemy, making it a bestseller on the platform with a 4.6-star rating.

The course features 71 lectures that total seven hours in length and was created for those looking to gain practical, real-world business intelligence and analytics skills to eventually create and maintain databases.

What can you learn from taking the Beginner SQL Database Design course? Skills such as:

  • Connecting data between tables.
  • Assigning user roles and permissions.
  • Altering tables by removing and adding columns.
  • Writing SQL queries.
  • Creating databases and tables with the MySQL Workbench UI.
  • Understanding common Relational Database Management Systems.

The requirements for taking this course are minimal. It can help to have a basic understanding of database fundamentals, and you will need to install MySQL Workbench and Community Server on your Mac or PC.

Database Administration Super Bundle from TechRepublic Academy

If you want to immerse yourself into the world of database administration and get a ton of bang for your buck, TechRepublic Academy’s Database Administration Super Bundle may be right up your alley.

It gives you nine courses and over 400 lessons equaling over 86 hours that can put you on the fast track to building databases and analyzing data like a pro. A sampling of the courses offered in this bundle include:

  • NoSQL MongoDB Developer
  • Introduction to MySQL
  • Visual Analytics Using Tableau
  • SSIS SQL Server Integration Services
  • Microsoft SQL Novice To Ninja
  • Regression Modeling With Minitab

Ultimate SQL Bootcamp from TechRepublic Academy

Here is another bundle for database administrators from TechRepublic Academy. With the Ultimate SQL Bootcamp, you get nine courses and 548 lessons to help you learn how to:

  • Write SQL queries.
  • Conduct data analysis.
  • Master SQL database creation.
  • Use MySQL and SQLite
  • Install WAMP and MySQL and use both tools to create a database.

Complete Oracle Master Class Bundle from TechRepublic Academy

The Complete Oracle Master Class Bundle from TechRepublic Academy features 181 hours of content and 17 courses to help you build a six-figure career. This intermediate course includes certification and will provide you hands-on and practical training with Oracle database systems.

Some of the skills you will learn include:

  • Understanding common technologies like the Oracle database, software testing, and Java.
  • DS and algorithms.
  • RDBMS concepts.
  • Troubleshooting.
  • Performance optimization.

Learn SQL Basics for Data Science Specialization from Coursera

Coursera’s Learn SQL Basics for Data Science Specialization course has nearly 7,000 reviews, giving it a 4.5-star rating. Offered by UC Davis, this specialization is geared towards beginners who lack coding experience that want to become fluent in SQL queries.

The specialization takes four months to complete at a five-hour weekly pace, and it is broken down into four courses:

  1. SQL for Data Science
  2. Data Wrangling, Analysis, and AB Testing with SQL
  3. Distributed Computing with Spark SQL
  4. SQL for Data Science Capstone Project

Skills you can gain include:

  • Data analysis
  • Distributed computing using Apache Spark
  • Delta Lake
  • SQL
  • Data science
  • SQLite
  • A/B testing
  • Query string
  • Predictive analytics
  • Presentation skills
  • Creating metrics
  • Exploratory data analysis

Once finished, you will be able to analyze and explore data with SQL, write queries, conduct feature engineering, use SQL with unstructured data sets, and more.

Relational Database Administration (DBA) from Coursera

IBM offers the Relational Database Administration (DBA) course on Coursera with a 4.5-star rating. Complete the beginner course that takes approximately 19 hours to finish, and it can count towards your learning in the IBM Data Warehouse Engineer Professional Certificate and IBM Data Engineering Professional Certificate programs.

Some of the skills you will learn in this DBA course include:

  • Troubleshooting database login, configuration, and connectivity issues.
  • Configuring databases.
  • Building system objects like tables.
  • Basic database management.
  • Managing user roles and permissions.
  • Optimizing database performance.

Oracle Autonomous Database Administration from Coursera

Offered by Oracle, the Autonomous Database Administration course from Coursera has a 4.5-star rating and takes 13 hours to complete. It is meant to help DBAs deploy and administer Autonomous databases. Finish it, and you will prepare yourself for the Oracle Autonomous Database Cloud Certification.

Some of the skills and knowledge you can learn from this course include:

  • Oracle Autonomous Database architecture.
  • Oracle Machine Learning.
  • SQL Developer Web.
  • APEX.
  • Oracle Text
  • Autonomous JSON.
  • Creating, deploying, planning, maintaining, monitoring, and implementing an Autonomous database.
  • Migration options and considerations.

Looking for more database administration and database programming courses? Check out our tutorial: Best Online Courses to Learn MySQL.

Disclaimer: We may be compensated by vendors who appear on this page through methods such as affiliate links or sponsored partnerships. This may influence how and where their products appear on our site, but vendors cannot pay to influence the content of our reviews. For more info, visit our Terms of Use page.

Thu, 21 Jul 2022 16:35:00 -0500 en-US text/html https://www.databasejournal.com/ms-sql/database-administrator-courses/
Killexams : Communication, Media and Design

The Communication, Media and Design undergraduate bachelor's degree program encompasses 36 of the 120 credit hours required for a bachelor's degree.
This provides you with the opportunity to pursue multiple majors, minors or concentrations while working toward your Communication, Media and Design degree. All courses are 3 credits unless noted.

Clarkson Common Experience
The following courses are required for all students, irrespective of their program of study. These courses are offered during the fall semester, with FY100 First-Year Seminar being required of only first-year students. Both FY100 and UNIV190 are typically taken during the fall semester of the first year at Clarkson.

  • FY100  First-Year Seminar (1 credit)
  • UNIV190 The Clarkson Seminar (3 credits)

Communication, Media and Design Core Requirements
Students majoring in Communication, Media and Design are required to complete the following courses:

  • COMM210 Theory of Rhetoric for Business, Science & Engineering
  • COMM217 Introduction to Public Speaking
  • COMM490 Senior Communication Internship
  • COMM499 Communication Professional Experience

Communication, Media and Design Core Electives
The following are electives students are required to complete for the Communication, Media and Design major.

300-Level Communication, Media and Design Course:
Students must complete one Communication, Media and Design course at the 300-level from the following:

  • COMM312 Public Relations
  • COMM313 Professional Communications
  • COMM314 Placemaking, Marketing and Promotion
  • COMM330 Science Journalism

400-Level Communication, Media and Design Course:
Students must complete one Communication, Media and Design course at the 400-level from the following:

  • COMM410 Theory & Philosophy of Communication
  • COMM412 Organizational Communications & Public Relations Theory
  • COMM428 Environmental Communication

Courses with Technology Expertise:
Students must complete at least 6 credits with information technology expertise.

Mathematics/Statistics Electives:
Students must complete at least 6 credits from the mathematics (MA) and/or statistics (STAT) subject areas.

Science Electives:
Students must complete at least 6 credits, including a lab course, from the biology (BY), chemistry (CM), and/or physics (PH) subject areas.

Knowledge Area/University Course Electives:
Students majoring in communication will have approximately 42 credit hours available to use toward Knowledge Area and/or University Course electives.

Free Electives:
Students majoring in communication will have approximately 42 credit hours available to use toward courses of their choice.

Communication, Media and Design electives (21 credits) chosen from the following:

  • COMM100 2D Digital Design
  • COMM217 Introduction to Public Speaking
  • COMM219 Introduction Social Media
  • COMM226 Short Film Screenwriting
  • COMM229 Principles of User-Experience Design
  • COMM245 Writing for New Media
  • COMM310 Mass Media & Society
  • COMM322 Typography & Design
  • COMM326 Feature Film Screenwriting
  • COMM327 Digital Video Production I
  • COMM329 Front-End Development for the Web
  • COMM345 Information Design
  • COMM360 Sound Design
  • COMM391-395 Special Topics
  • COMM420-425 Communication: Independent Study (1-9 credits)
  • COMM427 Digital Video Production II
  • COMM429 Full-stack Development
  • COMM447 Design-Driven Innovation
  • COMM448 Portraying Innovation Through the Lens
  • COMM449 Narrating Innovation
  • COMM450 Leading Innovation
  • COMM470 Communication Internship
  • COMM480 Undergraduate Teaching Assistantship in Communication & Media (1-3 credits)
Thu, 26 May 2022 08:40:00 -0500 en text/html https://www.clarkson.edu/undergraduate/communication-media-and-design
Killexams : IBM RELEASES SECOND QUARTER RESULTS

Growth Across Key Segments Led by Hybrid Cloud Adoption; Solid Cash and Profit Generation

ARMONK, N.Y., July 18, 2022 /PRNewswire/ -- IBM (NYSE: IBM) today announced second-quarter 2022 earnings results.

IBM Corporation logo. (PRNewsfoto/IBM)

"In the quarter we delivered good revenue performance with balanced growth across our geographies, driven by client demand for our hybrid cloud and AI offerings. The IBM team executed our strategy well," said Arvind Krishna, IBM chairman and chief executive officer. "With our first half results, we continue to expect full-year revenue growth at the high end of our mid-single digit model."

Second-Quarter Highlights

  • Revenue
    - Revenue of $15.5 billion, up 9 percent, up 16 percent at constant currency (about 5 points from sales to Kyndryl)
    - Software revenue up 6 percent, up 12 percent at constant currency (about 7 points from sales to Kyndryl)
    - Consulting revenue up 10 percent, up 18 percent at constant currency
    - Infrastructure revenue up 19 percent, up 25 percent at constant currency (about 7 points from sales to Kyndryl)
    - Hybrid cloud revenue, over the last 12 months, of $21.7 billion, up 16 percent, up 19 percent at constant currency
  • Cash Flow
    - On a consolidated basis, year to date, net cash from operating activities of $4.6 billion; free cash flow of $3.3 billion

SECOND QUARTER 2022 INCOME STATEMENT SUMMARY












Pre-tax














Gross



Pre-tax


Income



Net



Diluted





Revenue



Profit



Income


Margin



Income



EPS


GAAP from
Continuing
Operations


$

15.5B


$

8.3B


$

1.7B


11.1

%

$

1.5B


$

1.61


Year/Year



9

%*


6

%


89

%

4.7

Pts


81

%


79

%

Operating
(Non-GAAP)





$

8.5B


$

2.5B


16.2

%

$

2.1B


$

2.31


Year/Year






5

%


48

%

4.2

Pts


45

%


43

%

*16% at constant currency

"We are a faster-growing, focused, disciplined company with sound business fundamentals," said James Kavanaugh, IBM senior vice president and chief financial officer. "Our recurring revenue stream and solid cash generation position us well to continue to invest in R&D, acquire new companies, and strengthen our talent in every part of the business, while also returning value to shareholders through our dividend."

Segment Results for Second Quarter

  • Software (includes Hybrid Platform & Solutions, Transaction Processing)— revenues of $6.2 billion, up 6.4 percent, up 11.6 percent at constant currency (about 7 points from sales to Kyndryl):
    - Hybrid Platform & Solutions up 4 percent, up 9 percent at constant currency (about 1.5 points from sales to Kyndryl):
    -- Red Hat up 12 percent, up 17 percent at constant currency
    -- Automation up 4 percent, up 8 percent at constant currency
    -- Data & AI flat, up 4 percent at constant currency
    -- Security flat, up 5 percent at constant currency
    - Transaction Processing up 12 percent, up 19 percent at constant currency (about 22 points from sales to Kyndryl)
    - Software segment hybrid cloud revenue up 14 percent, up 18 percent at constant currency
  • Consulting (includes Business Transformation, Technology Consulting and Application Operations)— revenues of $4.8 billion, up 9.8 percent, up 17.8 percent at constant currency:
    - Business Transformation up 9 percent, up 16 percent at constant currency
    - Technology Consulting up 14 percent, up 23 percent at constant currency
    - Application Operations up 9 percent, up 17 percent at constant currency
    - Consulting segment hybrid cloud revenue up 20 percent, up 29 percent at constant currency
  • Infrastructure (includes Hybrid Infrastructure, Infrastructure Support)— revenues of $4.2 billion, up 19.0 percent, up 25.4 percent at constant currency (about 7 points from sales to Kyndryl):
    - Hybrid Infrastructure up 34 percent, up 41 percent at constant currency (about 7 points from sales to Kyndryl)
    -- IBM z Systems up 69 percent, up 77 percent at constant currency
    -- Distributed Infrastructure up 11 percent, up 17 percent at constant currency
    - Infrastructure Support down 2 percent, up 5 percent at constant currency (about 8 points from sales to Kyndryl)
    - Infrastructure segment hybrid cloud revenue up 24 percent, up 30 percent at constant currency
  • Financing (includes client and commercial financing)— revenues of $0.1 billion, down 29.9 percent, down 26.6 percent at constant currency

Cash Flow and Balance Sheet
On a consolidated basis, in the second quarter, the company generated net cash from operating activities of $1.3 billion or $2.6 billion excluding IBM Financing receivables. IBM's free cash flow was $2.1 billion. The company returned $1.5 billion to shareholders in dividends in the second quarter.

On a consolidated basis, for the first six months of the year, the company generated net cash from operating activities of $4.6 billion or $4.2 billion excluding IBM Financing receivables. IBM's free cash flow was $3.3 billion, which includes cash impacts from the company's structural actions initiated at the end of 2020.

IBM ended the second quarter with $7.8 billion of cash on hand (which includes marketable securities), up $0.2 billion from year-end 2021. Debt, including IBM Financing debt of $12.3 billion, totaled $50.3 billion, down $1.4 billion since the end of 2021.

Full-Year 2022 Expectations

  • Revenue growth: The company continues to expect constant currency revenue growth at the high end of its mid-single digit model. The company also expects an additional 3.5 point contribution from incremental sales to Kyndryl. At mid-July 2022 foreign exchange rates, currency is expected to be about a six-point headwind.
  • Free Cash Flow: The company now expects about $10 billion in consolidated free cash flow.

Forward-Looking and Cautionary Statements
Except for the historical information and discussions contained herein, statements contained in this release may constitute forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. Forward-looking statements are based on the company's current assumptions regarding future business and financial performance. These statements involve a number of risks, uncertainties and other factors that could cause genuine results to differ materially, including, but not limited to, the following: a downturn in economic environment and client spending budgets; a failure of the company's innovation initiatives; damage to the company's reputation; risks from investing in growth opportunities; failure of the company's intellectual property portfolio to prevent competitive offerings and the failure of the company to obtain necessary licenses; the company's ability to successfully manage acquisitions, alliances and dispositions, including integration challenges, failure to achieve objectives, the assumption of liabilities, and higher debt levels; fluctuations in financial results; impact of local legal, economic, political, health and other conditions; the company's failure to meet growth and productivity objectives; ineffective internal controls; the company's use of accounting estimates; impairment of the company's goodwill or amortizable intangible assets; the company's ability to attract and retain key employees and its reliance on critical skills; impacts of relationships with critical suppliers; product quality issues; impacts of business with government clients; reliance on third party distribution channels and ecosystems; cybersecurity and data privacy considerations; adverse effects related to climate change and environmental matters, tax matters; legal proceedings and investigatory risks; the company's pension plans; currency fluctuations and customer financing risks; impact of changes in market liquidity conditions and customer credit risk on receivables; potential failure of the separation of Kyndryl Holdings, Inc. to qualify for tax-free treatment; risk factors related to IBM securities; and other risks, uncertainties and factors discussed in the company's Form 10-Qs, Form 10-K and in the company's other filings with the U.S. Securities and Exchange Commission or in materials incorporated therein by reference. Any forward-looking statement in this release speaks only as of the date on which it is made. Except as required by law, the company assumes no obligation to update or revise any forward-looking statements.

Presentation of Information in this Press Release
On November 3, 2021, IBM completed the separation of Kyndryl. Unless otherwise specified, results are presented on a continuing operations basis. All references to revenue impacts from sales to Kyndryl are incremental sales post-separation.

In an effort to provide investors with additional information regarding the company's results as determined by generally accepted accounting principles (GAAP), the company has also disclosed in this press release the following non-GAAP information, which management believes provides useful information to investors:

IBM results —

  • adjusting for currency (i.e., at constant currency);
  • presenting operating (non-GAAP) earnings per share amounts and related income statement items;
  • consolidated free cash flow;
  • consolidated cash from operating activities excluding IBM Financing receivables;

The rationale for management's use of these non-GAAP measures is included in Exhibit 99.2 in the Form 8‑K that includes this press release and is being submitted today to the SEC.

Conference Call and Webcast
IBM's regular quarterly earnings conference call is scheduled to begin at 5:00 p.m. EDT, today. The Webcast may be accessed via a link at https://www.ibm.com/investor/events/earnings-2q22. Presentation charts will be available shortly before the Webcast.

Financial Results Below (certain amounts may not add due to use of rounded numbers; percentages presented are calculated from the underlying whole-dollar amounts).

Contact: IBM
Sarah Meron, 347 891 1770
sarah.meron@ibm.com

Tim Davidson, 914 844 7847
tfdavids@us.ibm.com

INTERNATIONAL BUSINESS MACHINES CORPORATION

COMPARATIVE FINANCIAL RESULTS

(Unaudited; Dollars in millions except per share amounts)




Three Months Ended




Six Months Ended





June 30,




June 30,





2022


2021*




2022


2021*



REVENUE

















Software


$

6,166


$

5,795




$

11,938


$

10,933



Consulting



4,809



4,378





9,637



8,641



Infrastructure



4,235



3,560





7,453



6,853



Financing



146



209





300



417



Other



180



277





404



561



TOTAL REVENUE



15,535



14,218





29,732



27,405




















GROSS PROFIT



8,290



7,852





15,625



14,879




















GROSS PROFIT MARGIN

















Software



79.2

%


79.7

%




79.0

%


78.8

%


Consulting



24.2

%


27.6

%




24.3

%


27.7

%


Infrastructure



53.8

%


57.1

%




52.4

%


56.7

%


Financing



35.3

%


29.9

%




36.5

%


32.7

%



















TOTAL GROSS PROFIT MARGIN



53.4

%


55.2

%




52.6

%


54.3

%



















EXPENSE AND OTHER INCOME

















S,G&A



4,855



4,849





9,452



9,536



R,D&E



1,673



1,641





3,352



3,257



Intellectual property and custom development income



(176)



(133)





(297)



(278)



Other (income) and expense



(81)



302





166



647



Interest expense



297



281





607



561



TOTAL EXPENSE AND OTHER INCOME



6,568



6,940





13,280



13,724




















INCOME/(LOSS) FROM CONTINUING OPERATIONS

















BEFORE INCOME TAXES



1,722



912





2,345



1,155



Pre-tax margin



11.1

%


6.4

%




7.9

%


4.2

%


Provision for/(Benefit from) income taxes



257



101





218



(58)



Effective tax rate



14.9

%


11.1

%




9.3

%


(5.0)

%



















INCOME FROM CONTINUING OPERATIONS


$

1,465


$

810




$

2,127


$

1,213




















DISCONTINUED OPERATIONS

















Income/(Loss) from discontinued operations, net of taxes



(73)



515





(2)



1,067




















NET INCOME


$

1,392


$

1,325




$

2,125


$

2,280




















EARNINGS/(LOSS) PER SHARE OF COMMON STOCK

















Assuming Dilution

















Continuing Operations


$

1.61


$

0.90




$

2.34


$

1.34



Discontinued Operations


$

(0.08)


$

0.57




$

0.00


$

1.18



TOTAL


$

1.53


$

1.47




$

2.34


$

2.52




















Basic

















Continuing Operations


$

1.62


$

0.91




$

2.36


$

1.36



Discontinued Operations


$

(0.08)


$

0.57




$

0.00


$

1.19



TOTAL


$

1.54


$

1.48




$

2.36


$

2.55




















WEIGHTED-AVERAGE NUMBER OF COMMON SHARES OUTSTANDING (M's)

















Assuming Dilution



910.7



904.2





910.0



903.0



Basic



901.5



895.0





900.4



894.3



____________________

* Recast to conform with 2022 presentation.

INTERNATIONAL BUSINESS MACHINES CORPORATION

CONDENSED CONSOLIDATED BALANCE SHEET

(Unaudited)




At


At



June 30,


December 31,

(Dollars in Millions)


2022


2021

ASSETS:







Current Assets:







Cash and cash equivalents


$

7,034


$

6,650

Restricted cash



220



307

Marketable securities



524



600

Notes and accounts receivable - trade, net



5,867



6,754

Short-term financing receivables, net



7,233



8,014

Other accounts receivable, net



909



1,002

Inventories



1,684



1,649

Deferred costs



1,010



1,097

Prepaid expenses and other current assets



3,414



3,466

Total Current Assets



27,896



29,539








Property, plant and equipment, net



5,275



5,694

Operating right-of-use assets, net



2,848



3,222

Long-term financing receivables, net



5,316



5,425

Prepaid pension assets



9,930



9,850

Deferred costs



865



924

Deferred taxes



7,073



7,370

Goodwill



55,039



55,643

Intangibles, net



11,571



12,511

Investments and sundry assets



1,689



1,823

Total Assets


$

127,503


$

132,001








LIABILITIES:







Current Liabilities:







Taxes


$

1,742


$

2,289

Short-term debt



5,981



6,787

Accounts payable



3,707



3,955

Deferred income



12,522



12,518

Operating lease liabilities



884



974

Other liabilities



7,008



7,097

Total Current Liabilities



31,844



33,619








Long-term debt



44,328



44,917

Retirement related obligations



13,118



14,435

Deferred income



3,069



3,577

Operating lease liabilities



2,182



2,462

Other liabilities



13,486



13,996

Total Liabilities



108,026



113,005








EQUITY:







IBM Stockholders' Equity:







Common stock



57,802



57,319

Retained earnings



153,298



154,209

Treasury stock — at cost



(169,522)



(169,392)

Accumulated other comprehensive income/(loss)



(22,169)



(23,234)

Total IBM Stockholders' Equity



19,409



18,901








Noncontrolling interests



67



95

Total Equity



19,476



18,996








Total Liabilities and Equity


$

127,503


$

132,001

INTERNATIONAL BUSINESS MACHINES CORPORATION

CASH FLOW ANALYSIS

(Unaudited)
















Trailing Twelve



Three Months Ended


Six Months Ended


Months Ended



June 30,


June 30,


June 30,

(Dollars in Millions)


2022


2021


2022


2021


2022

Consolidated Net Cash from Operations per GAAP


$

1,321


$

2,625


$

4,569


$

7,539


$

9,826

















Less: change in IBM Financing receivables



(1,264)



900



367



3,763



511

Capital Expenditures, net



(494)



(688)



(871)



(1,217)



(2,035)

















Consolidated Free Cash Flow



2,091



1,037



3,331



2,559



7,279

















Acquisitions



(260)



(1,747)



(958)



(2,866)



(1,385)

Divestitures



1,207



(10)



1,268



(25)



1,408

Dividends



(1,488)



(1,467)



(2,963)



(2,924)



(5,907)

Non-Financing Debt



(2,934)



(586)



1,740



(2,331)



2,880

Other (includes IBM Financing net receivables and debt)



(1,607)



(335)



(2,197)



(522)



(4,661)

















Change in Cash, Cash Equivalents, Restricted Cash and Short-term
Marketable Securities*


$

(2,991)


$

(3,108)


$

221


$

(6,110)


$

(387)

____________________

* Cash flows are presented on a consolidated basis.

INTERNATIONAL BUSINESS MACHINES CORPORATION

CASH FLOW

(Unaudited)




Three Months Ended


Six Months Ended



June 30,


June 30,

(Dollars in Millions)


2022


2021


2022


2021

Net Income from Operations


$

1,392


$

1,325


$

2,125


$

2,280

Depreciation/Amortization of Intangibles



1,245



1,680



2,501



3,352

Stock-based Compensation



254



243



488



457

Working Capital / Other



(307)



(1,524)



(912)



(2,313)

IBM Financing A/R



(1,264)



900



367



3,763

Net Cash Provided by Operating Activities


$

1,321


$

2,625


$

4,569


$

7,539

Capital Expenditures, net of payments & proceeds



(494)



(688)



(871)



(1,217)

Divestitures, net of cash transferred



1,207



(10)



1,268



(25)

Acquisitions, net of cash acquired



(260)



(1,747)



(958)



(2,866)

Marketable Securities / Other Investments, net



(281)



(227)



(625)



(562)

Net Cash Provided by/(Used in) Investing Activities


$

172


$

(2,671)


$

(1,186)


$

(4,671)

Debt, net of payments & proceeds



(2,514)



(1,500)



434



(5,799)

Dividends



(1,488)



(1,467)



(2,963)



(2,924)

Financing - Other



(195)



(163)



(290)



(190)

Net Cash Provided by/(Used in) Financing Activities


$

(4,197)


$

(3,131)


$

(2,819)


$

(8,914)

Effect of Exchange Rate changes on Cash



(262)



69



(267)



(65)

Net Change in Cash, Cash Equivalents and Restricted Cash*


$

(2,965)


$

(3,108)


$

297


$

(6,110)

____________________

* Cash flows are presented on a consolidated basis.

INTERNATIONAL BUSINESS MACHINES CORPORATION

SEGMENT DATA

(Unaudited)





Three Months Ended June 30, 2022













(Dollars in Millions)


Software


Consulting


Infrastructure


Financing


Revenue


$

6,166


$

4,809


$

4,235


$

146


Pre-tax Income/(Loss) from Continuing Operations


$

1,375


$

343


$

757


$

102


Pre-tax Margin



22.3

%


7.1

%


17.9

%


69.7

%

Change YTY Revenue



6.4

%


9.8

%


19.0

%


(29.9)

%

Change YTY Revenue - constant currency



11.6

%


17.8

%


25.4

%


(26.6)

%































Three Months Ended June 30, 2021*













(Dollars in Millions)


Software


Consulting


Infrastructure


Financing


Revenue


$

5,795


$

4,378


$

3,560


$

209


Pre-tax Income/(Loss) from Continuing Operations


$

1,059


$

270


$

489


$

131


Pre-tax Margin



18.3

%


6.2

%


13.7

%


63.0

%

____________________

* Recast to conform with 2022 presentation.


















Six Months Ended June 30, 2022













(Dollars in Millions)


Software


Consulting


Infrastructure


Financing


Revenue


$

11,938


$

9,637


$

7,453


$

300


Pre-tax Income/(Loss) from Continuing Operations


$

2,509


$

691


$

956


$

186


Pre-tax Margin



21.0

%


7.2

%


12.8

%


62.0

%

Change YTY Revenue



9.2

%


11.5

%


8.8

%


(28.0)

%

Change YTY Revenue - constant currency



13.4

%


17.6

%


13.4

%


(25.5)

%













































Six Months Ended June 30, 2021*













(Dollars in Millions)


Software


Consulting


Infrastructure


Financing


Revenue


$

10,933


$

8,641


$

6,853


$

417


Pre-tax Income/(Loss) from Continuing Operations


$

1,717


$

547


$

780


$

229


Pre-tax Margin



15.7

%


6.3

%


11.4

%


55.0

%

____________________

* Recast to conform with 2022 presentation.

INTERNATIONAL BUSINESS MACHINES CORPORATION

U.S. GAAP TO OPERATING (Non-GAAP) RESULTS RECONCILIATION

(Unaudited; Dollars in millions except per share amounts)




Three Months Ended June 30, 2022




Continuing Operations







Acquisition-


Retirement-


Tax


Kyndryl-










Related


Related


Reform


Related


Operating




GAAP


Adjustments (1)


Adjustments (2)


Impacts


Impacts (3)


(Non-GAAP)


Gross Profit


$

8,290


$

180


$


$


$


$

8,470


Gross Profit Margin



53.4

%


1.2

pts.


pts.


pts.


pts.


54.5

%

S,G&A


$

4,855


$

(279)


$


$


$

(0)


$

4,576


Other (Income) & Expense



(81)



(1)



(192)





(145)



(418)


Total Expense & Other (Income)



6,568



(280)



(192)





(145)



5,952


Pre-tax Income from Continuing
Operations



1,722



460



192





145



2,518


Pre-tax Income Margin from
Continuing Operations



11.1

%


3.0

pts.


1.2

pts.


pts.


0.9

pts.


16.2

%

Provision for/(Benefit from) Income
Taxes
(4)


$

257


$

115


$

46


$

(4)


$


$

413


Effective Tax Rate



14.9

%


1.8

pts.


0.7

pts.


(0.2)

pts.


(0.9)

pts.


16.4

%

Income from Continuing Operations


$

1,465


$

345


$

146


$

4


$

145


$

2,105


Income Margin from Continuing
Operations



9.4

%


2.2

pts.


0.9

pts.


0.0

pts.


0.9

pts.


13.5

%

Diluted Earnings/(Loss) Per Share:
Continuing Operations


$

1.61


$

0.38


$

0.16


$

0.00


$

0.16


$

2.31





Three Months Ended June 30, 2021




Continuing Operations







Acquisition-


Retirement-


Tax


Kyndryl-










Related


Related


Reform


Related


Operating




GAAP


Adjustments (1)


Adjustments (2)


Impacts


Impacts (3)


(Non-GAAP)


Gross Profit


$

7,852


$

179


$


$


$


$

8,031


Gross Profit Margin



55.2

%


1.3

pts.


pts.


pts.


pts.


56.5

%

S,G&A


$

4,849


$

(294)


$


$


$


$

4,555


Other (Income) & Expense



302



(1)



(317)







(16)


Total Expense & Other (Income)



6,940



(294)



(317)







6,329


Pre-tax Income/(Loss) from Continuing
Operations



912



474



317







1,702


Pre-tax Income Margin from
Continuing Operations



6.4

%


3.3

pts.


2.2

pts.


pts.


pts.


12.0

%

Provision for/(Benefit from) Income
Taxes
(4)


$

101


$

105


$

53


$

(14)


$


$

246


Effective Tax Rate



11.1

%


3.1

pts.


1.0

pts.


(0.8)

pts.


pts.


14.5

%

Income from Continuing Operations


$

810


$

368


$

264


$

14


$


$

1,456


Income Margin from Continuing
Operations



5.7

%


2.6

pts.


1.9

pts.


0.1

pts.


pts.


10.2

%

Diluted Earnings/(Loss) Per Share:
Continuing Operations


$

0.90


$

0.41


$

0.29


$

0.01


$


$

1.61


____________________

(1) Includes amortization of purchased intangible assets, in process R&D, transaction costs, applicable restructuring and related expenses, tax charges related to acquisition
integration and pre-closing charges, such as financing costs.

(2) Includes amortization of prior service costs, interest cost, expected return on plan assets, amortized actuarial gains/losses, the impacts of any plan curtailments/
settlements and pension insolvency costs and other costs.

(3) Primarily relates to the fair value changes in the retained Kyndryl common stock and the related cash-settled swap.

(4) Tax impact on operating (non-GAAP) pre-tax income from continuing operations is calculated under the same accounting principles applied to the As Reported pre-tax
income under ASC 740, which employs an annual effective tax rate method to the results.

INTERNATIONAL BUSINESS MACHINES CORPORATION

U.S. GAAP TO OPERATING (Non-GAAP) RESULTS RECONCILIATION

(Unaudited; Dollars in millions except per share amounts)




Six Months Ended June 30, 2022




Continuing Operations







Acquisition-


Retirement-


Tax


Kyndryl-










Related


Related


Reform


Related


Operating




GAAP


Adjustments (1)


Adjustments (2)


Impacts


Impacts (3)


(Non-GAAP)


Gross Profit


$

15,625


$

361


$


$


$


$

15,986


Gross Profit Margin



52.6

%


1.2

pts.


pts.


pts.


pts.


53.8

%

S,G&A


$

9,452


$

(565)


$


$


$

(0)


$

8,887


Other (Income) & Expense



166



(1)



(394)





(367)



(596)


Total Expense & Other (Income)



13,280



(566)



(394)





(367)



11,953


Pre-tax Income from Continuing
Operations



2,345



928



394





367



4,033


Pre-tax Income Margin from
Continuing Operations



7.9

%


3.1

pts.


1.3

pts.


pts.


1.2

pts.


13.6

%

Provision for/(Benefit from) Income
Taxes
(4)


$

218


$

224


$

104


$

112


$


$

657


Effective Tax Rate



9.3

%


3.4

pts.


1.7

pts.


2.8

pts.


(0.8)

pts.


16.3

%

Income from Continuing Operations


$

2,127


$

704


$

290


$

(112)


$

367


$

3,376


Income Margin from Continuing
Operations



7.2

%


2.4

pts.


1.0

pts.


(0.4)

pts.


1.2

pts.


11.4

%

Diluted Earnings/(Loss) Per Share:
Continuing Operations


$

2.34


$

0.77


$

0.32


$

(0.12)


$

0.40


$

3.71
























Six Months Ended June 30, 2021




Continuing Operations







Acquisition-


Retirement-


Tax


Kyndryl-










Related


Related


Reform


Related


Operating




GAAP


Adjustments (1)


Adjustments (2)


Impacts


Impacts (3)


(Non-GAAP)


Gross Profit


$

14,879


$

353


$


$


$


$

15,232


Gross Profit Margin



54.3

%


1.3

pts.


pts.


pts.


pts.


55.6

%

S,G&A


$

9,536


$

(582)


$


$


$


$

8,954


Other (Income) & Expense



647



(1)



(649)







(3)


Total Expense & Other (Income)



13,724



(583)



(649)







12,491


Pre-tax Income from Continuing
Operations



1,155



936



649







2,741


Pre-tax Income Margin from
Continuing Operations



4.2

%


3.4

pts.


2.4

pts.


pts.


pts.


10.0

%

Provision for/(Benefit from) Income
Taxes
(4)


$

(58)


$

238


$

86


$

6


$


$

272


Effective Tax Rate



(5.0)

%


10.4

pts.


4.3

pts.


0.2

pts.


pts.


9.9

%

Income from Continuing Operations


$

1,213


$

699


$

563


$

(6)


$


$

2,469


Income Margin from Continuing
Operations



4.4

%


2.5

pts.


2.1

pts.


(0.0)

pts.


pts.


9.0

%

Diluted Earnings/(Loss) Per Share:
Continuing Operations


$

1.34


$

0.77


$

0.62


$

(0.01)


$


$

2.73


____________________

(1) Includes amortization of purchased intangible assets, in process R&D, transaction costs, applicable restructuring and related expenses, tax charges related
to acquisition integration and pre-closing charges, such as financing costs.

(2) Includes amortization of prior service costs, interest cost, expected return on plan assets, amortized actuarial gains/losses, the impacts of any plan
curtailments/settlements and pension insolvency costs and other costs.

(3) Primarily relates to the fair value changes in the retained Kyndryl common stock and the related cash-settled swap.

(4) Tax impact on operating (non-GAAP) pre-tax income from continuing operations is calculated under the same accounting principles applied to the As
Reported pre-tax income under ASC 740, which employs an annual effective tax rate method to the results.

Cision View original content to obtain multimedia:https://www.prnewswire.com/news-releases/ibm-releases-second-quarter-results-301588504.html

SOURCE IBM

Mon, 18 Jul 2022 08:10:00 -0500 text/html https://stockhouse.com/news/press-releases/2022/07/18/ibm-releases-second-quarter-results
Killexams : Marketing Management MSc

Course modules

This course is grounded in the latest theory and also has a strong practical element. There will be many chances to apply your knowledge and develop the advanced skills that will help you to enjoy a successful marketing career.

The content of the modules reflects the changing marketing landscape. For example, developments in social and digital media are embedded throughout the programme and are integral to certain modules such as Direct and Digital Marketing and Strategic e-Marketing.

Other key themes of the programme include: insight management, innovation and entrepreneurship, project management, customer management, campaign planning, paid, owned and earned media planning, marketing metrics, working with agencies and international marketing perspectives.

Semester one

Core modules

Semester two

Two elective modules are chosen from:

Semester three

OR

Note: All modules are indicative and based on the current academic session. Course information is correct at the time of publication and is subject to review. Exact modules may, therefore, vary for your intake in order to keep content current. If there are changes to your course we will, where reasonable, take steps to inform you as appropriate.

Teaching and assessment

Modules include formal lectures, tutorials, workshops and interactive sessions.

Teaching contact hours

Full-time option

For the full time option you should be prepared to devote approximately 38 hours a week to your studies. You will typically have up to 14 hours contact hours of teaching most weeks for semester 1 and 2. Teaching is through a mix of lecturers, tutorials, seminars and lab sessions and the breakdown of these activities is shown in each module description.

In addition each module provides a 2 hour surgery each week available for individual consultation with the lecturer. You may also have some scheduled meetings with your programme leader, personal tutor, and/or careers throughout the year to discuss your academic progress and personal development.

Self-directed study: In order to prepare for, and assimilate, the work in lectures and seminars you will be expected to make regular use of our on-line resources, participate in classroom discussions including on our virtual learning environment (VLE) and engage in personal study, revision and reflection for approximately 24 hours per work during semester 1 and 2.

In semester 3, you will undertake independent research for your dissertation (or In-company project), and again should typically allow around 38 hours per week for this. You will be allocated a dedicated academic supervisor to support you, who you will be able to contact on a regular basis.

Part-time option

For the part time option you should be prepared to devote approximately 19 hours a week to your studies. You will typically have up to 7 hours contact hours of teaching most weeks. Teaching is through a mix of lecturers, tutorials, seminars and lab sessions and the breakdown of these activities is shown in each module description.

In addition each module provides a surgery hour each week available for individual consultation with the lecturer. You may also have some scheduled meetings with your programme leader, personal tutor, and/or careers throughout the year to discuss your academic progress and personal development.

Self-directed study: In order to prepare for, and assimilate, the work in lectures and seminars you will be expected to make regular use of our on-line resources, participate in classroom discussions including on our virtual learning environment (VLE) and engage in personal study, revision and reflection for approximately 12 hours per work during teaching weeks

Once you have completed all the taught modules, you will then undertake independent research for your dissertation (or In-company project), and should typically allow around 19 hours per week for this. You will be allocated a dedicated academic supervisor to support you, who you will be able to contact on a regular basis.

Accreditations

This is one of a small number of marketing courses in the UK that are accredited by the Chartered Institute of Marketing (CIM) for a Dual Award. This Dual Award means that while you are studying for your qualification you also have the opportunity to work towards achieving the CIM Professional Diploma in Marketing as part of your degree programme, an enhanced qualification that is sought after by employers.

In addition, if you successfully complete the elective Direct and Digital Marketing module you will benefit from significant exemptions from the Certificate in Direct and Digital Marketing awarded by the Institute of Direct Marketing (IDM). Most of our students opt to take the additional test required and leave with this professional standard certificate alongside their marketing degree.  These additional professional qualifications make you more marketable by distinguishing you from other candidates and form another important step in your career development.

Sat, 31 Jan 2015 18:48:00 -0600 en-GB text/html https://www.dmu.ac.uk/study/courses/postgraduate-courses/marketing-management-msc-degree/marketing-management-msc.aspx
Killexams : Engineering Fundamentals: Is Moore’s Law the Wright One? Battery Tech Hopes So

Scientific laws describe observed phenomena, like Newton’s Law of Gravity. Engineering “laws” tend to focus on design or manufacturing processes, such as Moore’s Law. Although this most famous of engineering laws is really a corollary to a more comprehensive principle (as we’ll see shortly), it is nevertheless so well known that non-semiconductor experts refer to it often in their predictions. For example, several technology advocates have lamented the lack of a Moore’s Law equivalent in the automotive battery space.

“There is a focus (in the battery market) on halving cost while doubling energy density in the next three years,” observed Michael Doyle, Corporate Fellow in Material Sciences in the Dassault Systemes Strategy and Research Team. The specific reference to doubling within a particular time frame mimics Gordon Moore’s famous design and manufacturing law predictions. But let’s see what is behind Doyle’s statement for trends in battery technology.

What drives this desire for the doubling of density every three years (as opposed to 18 months with semiconductor nodes)? Several issues explained Doyle. Cost is one driver. The reality is that $50,000 for a new car is not an everyman or mass-market solution. So, costs will have to come down, hence the halving prediction. Fortunately, a scale price reduction has been a common occurrence in the semiconductor and automotive sectors. Of course, these sectors are not mutually exclusive as automobiles are dependent upon semiconductors and related technologies.

Similarly, charging times will also need to come down. Consumers will not wait at a fueling station for 30 minutes or more to recharge their EVs. In addition, bigger batteries currently take even longer to charge.

Fortunately, the Tesla goal of 5-6X energy increases looks promising, cites Doyle.  Similarly, car OEMs are driving a 40% cost reduction per pack to promote profitability. There are multiple tipping points such as mass reduction in a pack that might drive aviation markets as well.

Moore’s Law in The Quantum World

Just as in the semiconductor and the automotive spaces, doubling performance in a mere matter of years or less is now the benchmark for quantum computers. Instead of Moore’s Law, quantum computing practitioners refer to their systems' quantum volume (QV).

QV is a measure of the increasing capability of quantum computers to solve complex, real-world problems. But how does an increase in QV relate to existing criteria such as semiconductor performance as dictated by Moore’s Law? Before answering that question, it’s necessary to understand what is meant by a Quantum Volume.

QV is a hardware-agnostic metric that IBM initially used to measure the performance of its quantum computers. This metric was needed since a classical computer’s transistor count, and a quantum computer’s quantum bit count isn’t the same. Qubits decohere, forgetting their assigned quantum information in less than a millisecond. To be commercially viable and useful, quantum computers must have a few low-error, highly connected, and scalable qubits to ensure a fault-tolerant and reliable system. That is why QV now serves as a benchmark for the progress being made by quantum computers to solve real-world problems.

According to Honeywell’s exact release, the System Model H1 has become the first to achieve a demonstrated quantum volume of 1024. This QV represents a doubling of its record from just four months ago.

Wright’s Vs. Moore’s Law

In 1936, Theodore P. Wright wrote a paper entitled, ‘Factors affecting the costs of airplanes.” As it turns out, Moore's Law is a particular case of Wright’s Law. This law described technological evolution for dozens of industries, including the yet to be formed semiconductor electronics space.  

A few years back, Santa Fe Institute (SFI) issued a working paper (Statistical Basis for Predicting Technological Progress, by Bela Nagy,  J. Doyne Farmer, Quan M. Bui, and Jessika E. Trancik)  that compared the performance of six technology-forecasting models with constant-dollar historical cost data for 62 different technologies. The dataset included specifications on hardware like transistors and DRAMs and products in energy, chemicals, and other categories during the periods when they were undergoing technological evolution. The datasets cover spans of nearly 40 years.

 “It is not possible to quantify the performance of a technology with a single number,” noted the authors of the report. “A computer, for example, is characterized by speed, storage capacity, size, and cost, as well as other intangible characteristics such as aesthetics. One automobile may be faster while another is less expensive.”

To normalize the analysis, the author’s focused on a single variable: cost, specifically the inflation-adjusted price of one “unit.” For example, recasting Moore’s Law to translate computing power into unit cost morphed the familiar “computing power doubles every 18 months” into “transistor costs drop by 50 percent every 1.4 years.”

According to the report, Wright’s Law seems to be a slightly better predictor than Moore’s Law. When production increases exponentially, Moore’s and Wright’s Laws are very similar. However, Wright’s Law comes out ahead on the strength of its performance over more extended periods.

So, if production for battery technology is expanding exponentially – thanks to increasing electronic vehicle (EV) production – it may be time for automotive pundits to cite Wright’s Law instead of its semiconductor derivative, which may well be why Doyle mentioned the focus of doubling energy data over a 3-year span (instead of 18 months). The trend will be more apparent as more data is compiled and analyzed.

Cover Image: Photo by Giammarco on Unsplash

John Blyler is a Design News senior editor, covering the electronics and advanced manufacturing spaces. With a BS in Engineering Physics and an MS in Electrical Engineering, he has years of hardware-software-network systems experience as an editor and engineer within the advanced manufacturing, IoT and semiconductor industries. John has co-authored books related to system engineering and electronics for IEEE, Wiley, and Elsevier.

Wed, 20 Jul 2022 12:00:00 -0500 en text/html https://www.designnews.com/electronics/engineering-fundamentals-moores-law-wright-one-battery-tech-hopes-so
Killexams : Startups News No result found, try new keyword!Showcase your company news with guaranteed exposure both in print and online Online registration is now closed. If you are looking to purchase single tickets please email… Ready to embrace the ... Thu, 04 Aug 2022 06:27:00 -0500 text/html https://www.bizjournals.com/news/technology/startups Killexams : IBM, DELTA AIR LINES WPP, 4A'S, IAB, AD COUNCIL AND OTHER INDUSTRY LEADERS ACT TO MITIGATE BIAS IN ADVERTISING TECHNOLOGY

IBM Delivers Open Source Toolkit to Identify and Mitigate Bias in Advertising Technology

CANNES, France, June 20, 2022 /CNW/ -- Today, leading companies committed to improving fairness in marketing campaigns. The initiative, announced at the Cannes Lions International Festival of Creativity 2022, brought together agencies, brands, and other leaders to generate awareness and take action towards mitigating bias in advertising technology. Committing organizations include IBM (NYSE: IBM), Delta Air Lines, WPP, Mindshare, 4A's, IAB and the Ad Council.

IBM Corporation logo. (PRNewsfoto/IBM)

The action is the most exact effort by IBM to drive education and awareness around the impact of bias in advertising technology. In 2021, the company launched a research initiative to explore the hypothesis that bias can exist in ad technology, which initial findings confirmed. The research also showed that mitigating bias in ad technology was possible using AI tools and resources in marketing processes. More industry participation and data collection are needed to better understand the potential impact of bias on these campaigns, but several industry leaders are demonstrating early activism by raising awareness and taking action via IBM's Advertising Fairness Pledge.

"While the risk of bias in advertising is well known, by making this commitment, these organizations are among the first in the industry to take action," said Bob Lord, IBM Senior Vice President of The Weather Company and Alliances. "Together, we are agreeing to educate ourselves and our companies and ask other industry leaders to join us in helping to mitigate bias in advertising."

Toward that effort, IBM also announced the release of its gratis Advertising Toolkit for AI Fairness 360, an open-source solution deploying 75 fairness metrics and 13 state-of-the-art algorithms to help identify and mitigate biases in discrete data sets. A playbook and sample code are also made available for ease of use. Organizations utilizing the toolkit may gain a better understanding of the presence and impact of bias on their ad campaigns, as well as the makeup of their audiences.

"Used correctly, data can help brands personalize consumer engagement and identify the most relevant touchpoints. However, we know that bias can exist in algorithms or technology, and that's why we're helping our clients to evaluate how and when to use data in a meaningful way that will benefit the customer experience," said Mark Read, CEO of WPP. "Through WPP's GroupM, we've developed the Data Ethics Compass to help clients navigate the challenges of using datasets, while IBM's new Advertising Toolkit for AI Fairness 360 will help us to better understand the potential impact of bias. Consumers rightly expect brands to use their information in a fair way and for the industry to tackle data bias collectively, which can ultimately result in increased engagement and commercial outcomes."

Bias is often unintentional, a result of human assumptions and judgments encoded into algorithms that can result in unfair targeting, exclusion of certain groups, and marketing campaign failures. Organizations taking the pledge can contribute data to ongoing studies that seek to better explain the impact of bias. According to Salesforce's 2022 State of the Connected Customer survey, nearly 62 percent of consumers surveyed reported they are concerned about bias in AI, up from just 54 percent two years prior, emphasizing the imperative for brands and agencies to better understand its impacts.

"As technology and data prevalence accelerates, the risk for bias in advertising compounds. It is our duty to address this head-on," said Adam Gerhart, Global CEO of Mindshare. "We believe the industry needs to take clear and intentional action, which is why we are committing to leverage the Advertising Toolkit for AI Fairness 360."

As the advertising industry continues to face issues related to privacy and transparency, many organizations believe that tackling bias in ad tech could be a next key area of focus for marketers. Nearly $1 trillion was spent on digital advertising globally in 2021, much of which flows through programmatic engines that segment and target specific audiences, sometimes missing large consumer groups in the process. With increasing consumer demand for transparency in how their data is used, marketers must look for new ways to remain effective. Tapping into alternative privacy-forward data sources, such as weather data, can be effective predictors of behavior that could also help rebuild trust with consumers.

"As a global brand, we know that every decision we make, whether it's about a supplier, an employee or an ad campaign, is a reflection of our values and the change we want to see in the world," said Emmakate Young, Delta's Managing Director of Brand Marketing. "We've long been focused on inclusive representation in our campaign creative, this effort allows us to go a step further to bring more inclusive representation to our campaign delivery."

To obtain the Advertising Toolkit for AI Fairness 360 and the associated playbook, to take the Advertising Fairness Pledge, and to learn more about how bias in advertising can negatively impact businesses and consumers, visit IBM's Bias in Advertising microsite.

To learn more about IBM Watson Advertising solutions and services, visit here.

Statements regarding IBM's future direction and intent are subject to change or withdrawal without notice and represent goals and objectives only.

About IBM
IBM is a leading global hybrid cloud and AI, and business services provider, helping clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Nearly 3,000 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM's hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly and efficiently. IBM's breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and business services deliver open and flexible options to our clients. All of this is backed by IBM's legendary commitment to trust, transparency, responsibility, inclusivity and service. Visit www.ibm.com for more information.

IBM Contacts:

Luca Sesti
luca.sesti@ibm.com

Clare Chachere
Clare.chachere@ibm.com

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Killexams : IIT Madras, IIT Kharagpur Offering Free Online Courses In Cloud Computing And Quantum Computing No result found, try new keyword!Four-week-long and free, the course offered by IIT Madras is in partnership with IBM Research and IBM Systems ... aspects of cloud computing - fundamentals, management issues, security challenges ... Sun, 26 Jun 2022 22:26:00 -0500 en-in text/html https://www.msn.com/en-in/news/other/iit-madras-iit-kharagpur-offering-free-online-courses-in-cloud-computing-and-quantum-computing/ar-AAYUBYL Killexams : Corporate Evaluation Service Market Industry Analysis by Sales, Revenue, Size, Share from 2022 to 2028

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

Jul 27, 2022 (Reportmines via Comtex) -- Pre and Post Covid is covered and Report Customization is available.

This report by Report Mines provides a detailed analysis of the "Corporate Evaluation Service market" from the year 2022 to 2028. It primarily focuses on Corporate Evaluation Service market goods, services, future growth prospects, challenges, market share, market players, etc.

The global Corporate Evaluation Service market size is projected to reach multi million by 2028, in comparision to 2021, at unexpected CAGR during 2022-2028 (Ask for sample Report).

According to the CAGR rate, the Corporate Evaluation Service market is expected to show significant growth in the upcoming five years. Furthermore, the report covers market segment data which comprises the Application segment which includes Recruitment of Frontline Employee,Recruitment of Managers,Internal Assessment and Promotion, type segment which includes Psychometric Tests,Aptitude Tests,Domain Tests,In-Person Interviews,Others, a geographical segment that includes North America: United States, Canada, Europe: GermanyFrance, U.K., Italy, Russia,Asia-Pacific: China, Japan, South, India, Australia, China, Indonesia, Thailand, Malaysia, Latin America:Mexico, Brazil, Argentina, Colombia, Middle East & Africa:Turkey, Saudi, Arabia, UAE, Korea, etc. The report is of 169 pages. It offers detailed data of Corporate Evaluation Service markets Key Market Players which includes AON,Korn Ferry,CEB,Psytech,Hogan Assessments,Aspiring Minds,TT Success Insight,Cubiks,Performanse,Talent Plus,Harrison assessments,AssessFirst,Chandler Macleod,TeamLease,IBM,DDI,NSEIT,Eduquity Career Technologies,Central Test,StrengthsAsia,MeritTrac,Mettl,Beisen and Company Profiles.

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Global Corporate Evaluation Service Market Report Segments

The top competitors in the Market, as highlighted in the report, 2022 - 2028

  • AON
  • Korn Ferry
  • CEB
  • Psytech
  • Hogan Assessments
  • Aspiring Minds
  • TT Success Insight
  • Cubiks
  • Performanse
  • Talent Plus
  • Harrison assessments
  • AssessFirst
  • Chandler Macleod
  • TeamLease
  • IBM
  • DDI
  • NSEIT
  • Eduquity Career Technologies
  • Central Test
  • StrengthsAsia
  • MeritTrac
  • Mettl
  • Beisen

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Market Segmentation

The worldwide Corporate Evaluation Service Market is classified on Product Type, Application Type, and Region.

The Corporate Evaluation Service Market Analysis by types is segmented into:

  • Psychometric Tests
  • Aptitude Tests
  • Domain Tests
  • In-Person Interviews
  • Others

The Corporate Evaluation Service Market Industry Research by Application is segmented into:

  • Recruitment of Frontline Employee
  • Recruitment of Managers
  • Internal Assessment and Promotion

In terms of Region, the Corporate Evaluation Service Market Players available by Region are:

  • North America:
  • Europe:
    • Germany
    • France
    • U.K.
    • Italy
    • Russia
  • Asia-Pacific:
    • China
    • Japan
    • South Korea
    • India
    • Australia
    • China Taiwan
    • Indonesia
    • Thailand
    • Malaysia
  • Latin America:
    • Mexico
    • Brazil
    • Argentina Korea
    • Colombia
  • Middle East & Africa:
    • Turkey
    • Saudi
    • Arabia
    • UAE
    • Korea

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  • Industry participants and Stakeholders can take significant advantage from this Corporate Evaluation Service market research report by learning all the key fundamentals of Corporate Evaluation Service market.
  • Moreover, it will also provide important updates about upcoming technologies and new trends.
  • Stakeholders will have a complete analysis of Corporate Evaluation Service market shares, key players and values.

The Corporate Evaluation Service market research report contains the following TOC:

  • Report Overview
  • Global Growth Trends
  • Competition Landscape by Key Players
  • Data by Type
  • Data by Application
  • North America Market Analysis
  • Europe Market Analysis
  • Asia-Pacific Market Analysis
  • Latin America Market Analysis
  • Middle East & Africa Market Analysis
  • Key Players Profiles Market Analysis
  • Analysts Viewpoints/Conclusions
  • Appendix

Get a sample of TOC https://www.predictivemarketresearch.com/toc/1568614#tableofcontents

Highlights of The Corporate Evaluation Service Market Report:

Here are some major highlights from the Corporate Evaluation Service market research report.

  • In-depth information on key players of the Corporate Evaluation Service market.
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  • Showcase the growth of the Corporate Evaluation Service market in accordance with the CAGR rate.

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COVID 19 Impact Analysis

The Covid 19 pandemic affected the Corporate Evaluation Service market along with most of the other industries. This report conducts a thorough analysis on the various impacts that the Corporate Evaluation Service market had to face because of the coronavirus.

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Corporate Evaluation Service Market Size and Industry Challenges

The Corporate Evaluation Service Market surely faced great challenges during the Covid outbreak. In this Corporate Evaluation Service report, Report Mines has discussed all the technological as well as growth challenges that were faced by industry partic[itatants as well as Corporate Evaluation Service market players.

It has also accumulated the market loss in the Corporate Evaluation Service Market during the Covid years.

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  • One can significantly boost growth if he/she learns the key tactics through this Corporate Evaluation Service market report.
  • Regional-wise data helps in interpreting the Corporate Evaluation Service market of various regions.

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Tue, 26 Jul 2022 18:00:00 -0500 en-US text/html https://www.marketwatch.com/press-release/corporate-evaluation-service-market-industry-analysis-by-sales-revenue-size-share-from-2022-to-2028-2022-07-27
Killexams : New $10M NSF-funded Institute Will Get to the CORE of Data Science

Aug. 2, 2022 — A new National Science Foundation initiative has created a $10 million dollar institute led by computer and data scientists at University of California San Diego that aims to transform the core fundamentals of the rapidly emerging field of Data Science.

Called The Institute for Emerging CORE Methods in Data Science (EnCORE), the institute will be housed in the Department of Computer Science and Engineering (CSE), in collaboration with The Halıcıoğlu Data Science Institute (HDSI), and will tackle a set of important problems in theoretical foundations of Data Science.

The EnCORE institute will be directed by CSE and HDSI Associate Professor Barna Saha.

UC San Diego team members will work with researchers from three partnering institutions – University of Pennsylvania, University of Texas at Austin and University of California, Los Angeles — to transform four core aspects of data science: complexity of data, optimization, responsible computing, and education and engagement.

EnCORE will join three other NSF-funded institutes in the country dedicated to the exploration of data science through the NSF’s Transdisciplinary Research in Principles of Data Science Phase II (TRIPODS) program.

“The NSF TRIPODS Institutes will bring advances in data science theory that Boost health care, manufacturing, and many other applications and industries that use data for decision-making,” said NSF Division Director for Electrical, Communications and Cyber Systems Shekhar Bhansali.

UC San Diego Chancellor Pradeep K. Khosla said UC San Diego’s highly collaborative, multidisciplinary community is the perfect environment to launch and develop EnCORE. “We have a long history of successful cross-disciplinary collaboration on and off campus, with renowned research institutions across the nation. UC San Diego is also home to the San Diego Supercomputer Center, the HDSI, and leading researchers in artificial intelligence and machine learning,” Khosla said. ”We have the capacity to house and analyze a wide variety of massive and complex data sets by some of the most brilliant minds of our time, and then share that knowledge with the world.”

Barna Saha, the EnCORE project lead and an associate professor in UC San Diego’s Department of Computer Science and Engineering and HDSI, said: “We envision EnCORE will become a hub of theoretical research in computing and Data Science in Southern California. This kind of national institute was lacking in this region, which has a lot of talent. This will fill a much-needed gap.”

The core of EnCORE: co-principal investigators include (from l to r) Yusu Wang, Barna Saha (the principal investigator), Kamalika Chaudhuri, (top row) Arya Mazumdar and Sanjoy Dasgupta. (Not pictured, Gal Mishne).

The other UC San Diego faculty members in the institute include professors Kamalika Chaudhuri, and Sanjoy Dasgupta from CSE; Arya Mazumdar, Gal Mishne, and Yusu Wang from HDSI; and Fan Chung Graham from CSE and the Department of Mathematics. Saura Naderi of HDSI will spearhead the outreach activities of the institute.

“Professor Barna Saha has assembled a team of exceptional scholars across UC San Diego and across the nation to explore the underpinnings of data science. This kind of institute, focused on groundbreaking research, innovative education and effective outreach, will be a model of interdisciplinary initiatives for years to come,” said Department of Computer Science and Engineering Chair Sorin Lerner.

CORE Pillars of Data Science

The EnCORE Institute seeks to investigate and transform three research aspects of Data Science:

  • C, for Complexities of Data: data the researchers are dealing with is complex, of massive size and noisy. They will investigate what new tools and approaches are needed to address data complexity, including an overhaul of the concepts of algorithms, statistics and machine learning.
  • O, for Optimization: a very old and traditional field, it now needs to be data driven, which brings new challenges. Modern data and technology have created a large gulf between theory and practice of optimization. Adaptive methods and human intervention can lead to major advancement in machine learning.
  • R, for Responsible Learning: the ethical responsibility of when researchers are dealing with massive data, data with sensitive information and using that data to make decisions needs to be reoriented to adapt to an uncertain world.

“EnCORE represents exactly the kind of talent convergence that is necessary to address the emerging societal need for responsible use of data. As a campus hub for data science, HDSI is proud of a compelling talent pool to work together in advancing the field,” said HDSI founding director Rajesh K. Gupta.

Team members expressed excitement about the opportunity of interdisciplinary research that the institute will provide. They will work together to Boost privacy-preserving machine learning and robust learning, and to integrate geometric and topological ideas with algorithms and machine learning methodologies to tame the complexity in modern data. They envision a new era in optimization with the presence of strong statistical and computational components adding new challenges.

“One of the exciting research thrusts at EnCORE is data science for accelerating scientific discoveries in domain sciences,” said Gal Mishne, an assistant professor at HDSI. As part of EnCORE, the team will be developing fast, robust low-distortion visualization tools for real-world data in collaboration with domain experts. In addition, the team will be developing geometric data analysis tools for neuroscience, a field which is undergoing an explosion of data at multiple scales.

From K-12 and Beyond

A distinctive aspect to EnCORE will be the “E,” education and engagement, component.

The institute will engage students at all levels, from K-12 to postdoctoral students, and junior faculty and conduct extensive outreach activities at all of its four sites.

The geographic span of the institute in three regions of the United States will be a benefit as the institute executes its outreach plan, which includes regular workshops, events, hiring of students and postdoctoral students. Online and joint courses between the partner institutions will also be offered.

Activities to reach out to high school, middle school and elementary students in Southern California are also part of the institute’s plan, with the first engagement planned for this summer with the Sweetwater Union High School District to teach students about the foundations of data science.

There will also be mentorship and training opportunities with researchers affiliated with EnCORE, helping to create a pipeline of data scientists and broadening the reach and impact of the field. Additionally, collaboration with industry is being planned.

Mazumdar, an associate professor in the HDSI and an affiliated faculty member in CSE, said the team has already put much thought and effort into developing data science curricula across all levels. “We aim to create a generation of experts while being mindful of the needs of society and recognizing the demands of industry,” he said.

“We have made connections with numerous industry partners, including prominent data science techs and also with local Southern California industries including start-ups, who will be actively engaged with the institute and keep us informed about their needs,” Mazumdar added.

An interdisciplinary, diverse field- and team

Data science has footprints in computer science, mathematics, statistics and engineering. In that spirit, the researchers from the four participating institutions who comprise the core team have diverse and varied backgrounds from four disciplines.

“Data science is a new, and a very interdisciplinary area. To make significant progress in Data Science you need expertise from these diverse disciplines. And it’s very hard to find experts in all these areas under one department,” said Saha. “To make progress in Data Science, you need collaborations from across the disciplines and a range of expertise. I think this institute will provide this opportunity.”

And the institute will further diversity in science, as EnCORE is being spearheaded by women who are leaders in their fields.


Mon, 01 Aug 2022 12:00:00 -0500 text/html https://www.datanami.com/this-just-in/new-10m-nsf-funded-institute-will-get-to-the-core-of-data-science/
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