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
Practical tips for getting your AI program off the ground and new research that may point to ways to reduce the amount of training data ML needs.
- By Upside Staff
- February 13, 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
From AI/ML and the composable enterprise to advances in quantum computing, there are plenty of changes ahead for analytics. Here are particular areas to watch.
- By Ariel Katz
- February 5, 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