TDWI Articles

Data Observability in the Cloud: Three Things to Look for in Holistic Data Platform Governance

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.

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 Digest: AI Advice and Machine Learning Research

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.

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.

What’s Coming in Analytics (And How We’ll Get There)

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.

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.

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