Data, AI, & Machine Learning

Two business strategists explore ChatGPT’s capacity for generating new ideas and strategies — and where it falls short.

Many finance offices aren’t benefiting from advanced analytics. A new framework can help CFOs assess their data skills.

In this first article in a series of four, the researchers behind the 2023 MIT Sloan Management Review-BCG Artificial Intelligence and Business Strategy Big Ideas research project outline the opportunities AI brings for key performance indicators and strategic measurement. They discuss the business implications of using AI to generate and refine KPIs and explain how enabling strategic measurement systems to learn fundamentally alters how organizations understand and invest in future performance.

It may make sense to start AI efforts with isolated experiments, but new structures are needed to reap broader benefits.

Hackers can use generative AI to plan more effective attacks, but companies can use it to strengthen their cyberdefenses.

The delegation of managerial functions to algorithms transforms management practices.

Understanding how AI algorithms are trained and validated can help decision makers pick the right tools and avoid risk.

Based on their research, the authors share four key ways companies can advance their strategic data-sharing initiatives.

It’s impossible to abolish AI bias in the data behind artificial intelligence models, but companies can remediate it.

Artificial intelligence is quietly improving the management of data, including its quality and security.