Data, AI, & Machine Learning

Straightforward strategies can keep in check the mistakes, misunderstandings, and data privacy concerns that go hand in hand with AI use.

Banning GenAI tools won’t work. Leaders should set guidelines that let employees experiment: This mitigates risks while opening the door to organizational gains, research shows.

Learn three principles for reorganizing work around AI.

The retailer’s AI ethics approach starts with concrete business examples and teaches employees to keep asking questions.

Leaders detail Agoda’s development of a KPI that accounts for external factors and aids strategic goal alignment.

Causal ML helps managers improve decision-making by enabling them to explore different options’ potential outcomes.

Should a chief data officer lead data and AI efforts? Three potent forces will determine the future of the CDO role.

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.

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