Data, AI, & Machine Learning

AI has the potential to help address societal problems like climate change, but challenges like high energy consumption threaten to negate its benefits.

Quality and integrity have become pressing issues as more companies rely on data to support better decisions. From governance to best practices, what should businesses consider in the race to stay ahead?

How do we know whether algorithmic systems are working as intended? A set of simple frameworks can help even nontechnical organizations check the functioning of their AI tools.

Deep underlying regularities in AI reveal predictable trends, empowering informed decision-making.

Machine learning solutions can miss the mark when data scientists don’t check their assumptions. Adopting a beginner’s mindset in any domain can help.