Data, AI, & Machine Learning

Learn three principles for reorganizing work around AI.

New research shows where marketers are seeing gains from AI and how to speed up payoffs.

AI has transformational power, but it’s not without limits. Learn how to assess AI’s potential and address some of its limitations for successful implementation.

LLMs have immense capabilities but present practical challenges that require human knowledge workers’ involvement.

Smart organizations need smarter KPIs. This report outlines how leaders can create and capture value from smart KPIs.

Analyzing factors behind generative AI’s value can help leaders determine who will benefit most from its growth.

When deciding whether to deploy a machine learning model, focus on business metrics, not technical ones.

Is your AI project using the right data, and is it set up to succeed? Ask the right questions to head off failure.

Large AI models are big energy consumers and carbon emitters. Sustainable AI practices can reduce their environmental impact.

Understanding large language models’ limitations can help users discern which tasks they are and are not well suited for.