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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: Data Management, Security, and Governance

Learn about basic data management challenges, the importance of app security, and the function of identity governance.

Unstructured Data Management: Plan Your Security and Governance

One-size-fits-all management won’t work for unstructured data. Create a cost-effective security and governance program with this advice.

Data Digest: Governing and Protecting Your Data

Governing data to drive AI, keeping some data private from generative AI systems, and maintaining customer privacy.

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.

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.

Case Study: Creating A Visual Dashboard of Forced Labor Around the Globe

The SAS Hackathon winner for 2023 was a group effort. Here’s how the project came about and came together, what data sources it used, who did what (and why), how the team overcame challenges, and what’s ahead for the project.

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