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.
- By Asa Whillock
- March 4, 2024
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.
- By Upside Staff
- February 15, 2024
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.
- By Upside Staff
- February 6, 2024
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.
- By Troy Hiltbrand
- February 2, 2024
Watch out! Your AI solution should guarantee that you won’t be responsible if any legal claims are made about its training data.
- By Rob Enderle
- February 1, 2024
How SMBs use AI, the extent of hallucination problems with generative AI, and technologies that might help AI be more trustworthy.
- By Upside Staff
- February 1, 2024
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.
- By Upside Staff
- January 26, 2024
Tamilla Triantoro, associate professor of business analytics and information systems at Quinnipiac University, discusses the human factor in artificial intelligence.
- By Upside Staff
- January 25, 2024