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
Read these articles to learn about modern applications for AI and data analytics across many industries.
- By Upside Staff
- February 27, 2024
David Stodder, senior research director for business intelligence with TDWI, discusses empowering data democratization by modernizing data governance and management practices.
- By Upside Staff
- February 23, 2024
With the increasing importance being placed on ethical AI, organizations are turning more to “explainable AI” -- a set of processes and methods that allow them to understand the output of machine learning algorithms.
- By Mark Do Couto
- February 22, 2024
Supporting faltering data governance programs, governing data for AI, and problems with untrusted financial data.
- By Upside Staff
- February 22, 2024
Tips for new data scientists, why the U.S. Department of Agriculture is implementing a data science training program, and how AI is changing the job market.
- By Upside Staff
- February 20, 2024
Thanks to AI, next-generation data observability tools will extend beyond identifying problems and explain how to resolve the problem. To do so, your data platforms will need these three key features.
- By Eric Chu
- February 20, 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