Data, AI, & Machine Learning

The goal isn’t eliminating technical debt but managing it, focusing on the highest-value fixes, and supporting innovation.

This collection of articles provides a broad range of expert insights on using GenAI for significant, measurable business outcomes. It also includes real-world examples from organizations in many industries that are already seeing impressive business value from their AI investments, along with practical takeaways and steps for turning insights into action.

Companies are getting real value from generative AI today and building for future transformation by managing risk.

AI’s ability to create value rests on the philosophy determining how and what it learns.

For optimal business innovation, leaders must take a balanced approach to applying generative and analytical AI.

Generative AI can greatly enhance organizational learning, but using it successfully requires the right mindset.

Key follow-up questions can help hiring managers probe beyond job seekers’ GenAI-coached responses.

Artificial intelligence is unlocking new levels of creativity in how organizations work together.

Consider these three takeaways for leaders on how to avoid pitfalls while using generative AI tools in decision-making.

AI-powered SPM can help businesses address their sales strategy and process problems through precision forecasting.