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Good Data Governance Improves Business Processes

David Menninger's Analyst Perspectives

Many organizations invest in data governance out of concern over misuse of data or potential data breaches. These are important considerations and valid aspects of data governance programs. However, good data governance also has positive impacts on organizations.

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Why CIOs back API governance to avoid tech sprawl

CIO Business Intelligence

Carter Busse, CIO of no-code enabled automation platform company Workato, adds that APIs are now important connective tissue to integrate and interact with large language models (LLMs) within business processes. “If As such, he views API governance as the lever by which this value is assessed and refined.

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What is data governance? Best practices for managing data assets

CIO Business Intelligence

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.

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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

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EU and US agree to chart common course on AI regulation

CIO Business Intelligence

The European Union and the US have agreed to increase co-operation in the development of technologies based on artificial intelligence (AI), placing a particular emphasis on safety and governance. The US government has, however, taken steps to put its own house in order by developing a strategy on the use of AI for federal agencies.

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For the planet and people: IBM’s focus on AI ethics in sustainability

IBM Big Data Hub

AI can be a force for good, but it might also lead to environmental and sustainability concerns. That means making more sustainable choices about how models are built, trained, and used, where processing occurs, what infrastructure is used, and how open and collaborative we are along the way.”

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3 key digital transformation priorities for 2024

CIO Business Intelligence

After all, every department is pressured to drive efficiencies and is clamoring for automation, data capabilities, and improvements in employee experiences, some of which could be addressed with generative AI. As every CIO can attest, the aggregate demand for IT and data capabilities is straining their IT leadership teams.