TDWI Articles

Generative AI Enthusiasm Versus Expertise: A Boardroom Disconnect

Members of corporate boards may overestimate their generative AI expertise and instead should be on a learning curve with the technology to ensure responsible adoption.

Pillars of AI Governance with Fern Halper

Fern Halper, Ph.D., vice president and senior research director for advanced analytics at TDWI, talks about the six pillars of data governance for artificial intelligence -- including transparency and ethics.

Data Management and the Next Generation of AI

James Kobielus, TDWI’s senior director of research for data management, talks about how to update your data management practices to prepare for the next generation of AI.

Navigating the New Era with Generative AI Literacy

Data literacy has been a strong focus among data-savvy organizations. However, with the advent of advanced generative AI tools, this focus is quickly changing. Learn the components you should be focused on in the new era of generative AI literacy.

New York Times Versus Microsoft: The Legal Status of Your AI Training Set

Watch out! Your AI solution should guarantee that you won’t be responsible if any legal claims are made about its training data.

Data Digest: AI Use and Improvement

How SMBs use AI, the extent of hallucination problems with generative AI, and technologies that might help AI be more trustworthy.

Evolution of Data Governance with Eric Falthzik

Eric Falthzik, strategy principal director with Accenture, discusses the evolution of data governance -- including the role of data stewards, how to govern new implementations, and the role of generative AI.

The Human Factor in AI with Tamilla Triantoro

Tamilla Triantoro, associate professor of business analytics and information systems at Quinnipiac University, discusses the human factor in artificial intelligence.

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