TDWI Articles

Empowering Data Democratization with David Stodder

David Stodder, senior research director for business intelligence with TDWI, discusses empowering data democratization by modernizing data governance and management practices.

Entering the Age of Explainable AI

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.

Data Digest: Data Governance and Trusted Data

Supporting faltering data governance programs, governing data for AI, and problems with untrusted financial data.

Data Stories: Growing Older Around the World

These data visualizations look at population trends across many countries and their impacts.

Data Digest: Data Science Training and AI Jobs

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.

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.

End-User Experience Analytics: An Unconventional Approach to Enterprise Data Analysis

By leveraging end-user trend analysis, your organization can create a proactive, preventive approach to IT management that ensures your employees have the best possible experience.

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.

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