AI/ML’s opaque processes challenge data quality and decision-making, emphasizing the need for understanding and control.
- By Anshuman Kanwar
- November 9, 2023
Leaders looking for concrete applications for generative AI, preparing for AI governance, and labeling data for effective machine learning.
- By Upside Staff
- November 7, 2023
AI is full of promise, but also pitfalls. Heed this advice about AI indemnification and training data set best practices to help keep your enterprise and your career safe.
- By Rob Enderle
- November 6, 2023
Fern Halper, TDWI’s vice president and senior director of research for advanced analytics, breaks down some of the key terms and concepts involved in today’s generative AI movement.
- By Upside Staff
- October 13, 2023
Follow these tips to ensure your machine learning training data is the best it can be.
- By Mayank Madan
- October 9, 2023
James Kobielus, TDWI’s senior director of research for data management, discusses the importance of vector databases to recent innovations in generative AI.
- By Upside Staff
- September 29, 2023
As with many societal breakthroughs, there is a dark side to the upcoming AI revolution. It will fall to analytics professionals to help manage the resulting cybersecurity risks and their secret weapon will be more AI.
- By Troy Hiltbrand
- September 27, 2023
The importance of governing generative AI and perspectives on the technology’s rapid adoption.
- By Upside Staff
- September 21, 2023