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
Now is the time for all businesses to begin exploring and adopting AI and applying it to organizational transformation. Here’s how to get started.
- By Nellie Wartoft
- October 26, 2023
Why AI needs high-quality data, techniques for improving data quality, and ideas for incorporating ML in the workplace.
- By Upside Staff
- October 24, 2023
Sam Wong, senior director for data, analytics, and AI with Mark Anthony Group, discusses how advanced analytics is at work in today’s enterprise.
- By Upside Staff
- October 20, 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
Most AI implementations are cloud-based. Hybrid AI lets you split the AI processing load. We explore the advantages and use of this technology and what’s ahead.
- By Rob Enderle
- October 11, 2023