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Thinking About “Data Program Governance”

CTOvision

One phrase in regular rotation in my elevator pitch is “data program governance." Program means an organized set of activities designed to accomplish a defined set of objectives. Governance means the program is planned and managed in an organized and sustainable way. What does that mean? Strategy needed. How independent?

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What is data governance? Best practices for managing data assets

CIO Business Intelligence

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. The program must introduce and support standardization of enterprise data.

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Why CIOs back API governance to avoid tech sprawl

CIO Business Intelligence

Most companies have transitioned to become more software-centric, and with this transformation, application programming interfaces (APIs) have proliferated. There’s the additional need to simultaneously manage changes throughout various API lifecycles to retain reliable integrations.

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The 10 highest-paying industries for IT talent

CIO Business Intelligence

While Silicon Valley still pays top dollar for IT pros, the war for talent has moved beyond the technology industry, with other verticals vying for talented IT workers who have the skills to enable digital transformation, process improvement, change management, and the development of apps and services.

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3 powerful lessons of using data governance frameworks

CIO Business Intelligence

They already had a technical plan in place, and I helped them find the right size and structure of an accompanying data governance program. The DGI publication includes components it thinks should be included in a data governance program. “I had been asked to help Coors Beer prepare for upcoming Sarbanes-Oxley audits.

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Demystifying AI: A Guide to Understanding and Leveraging Artificial Intelligence

Eric D. Brown

Unlike traditional programming, where a programmer explicitly defines the rules, ML algorithms learn to identify patterns and make predictions by processing vast amounts of data. This learning process from data allows machines to perform tasks without being explicitly programmed for every possible scenario.

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14 in-demand cloud roles companies are hiring for

CIO Business Intelligence

Skills: Relevant skills for a DevOps engineer include automation, Linux, QA testing, security, containerization, and knowledge of programming languages such as Java and Ruby. Role growth: 21% of companies have added DevOps engineer roles as part of their cloud investments.

Cloud 130