Data, AI, & Machine Learning

A winning CXO plays a crucial role in influencing customer satisfaction and company success.

By implementing structured frameworks such as AI agents, integrating structured prompts, and incorporating human interaction patterns and guardrails, businesses can navigate LLMs' creative potential while ensuring reliability.

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.