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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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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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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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20 issues shaping generative AI strategies today

CIO Business Intelligence

The risk guidelines for gen AI are fragile and new, and there’s no commonly accepted ‘Here’s how to think about risk guardrails.’ Enterprise readiness Regardless of whether a company is a taker, shaper, or maker, it will need a modern enough technology stack and data program to make effective use of generative AI. “The

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AI has many obstacles in its way

Dataconomy

To mitigate these concerns, companies must prioritize implementing robust privacy measures, such as data anonymization, secure data storage, and compliance with relevant data protection regulations. Technical difficulties Implementing AI systems involves overcoming various technical challenges, such as data storage, security, and scalability.