Data, AI, & Machine Learning

Research points to six practices leaders can use to overcome stakeholder resistance to automated negotiation technology.

FedML technology could help smaller companies train their machine learning models on larger, decentralized data sets.

Researchers describe how having robots work alongside humans can help companies measure performance more accurately.

Researchers are seeing stronger business benefits when KPIs are adjusted with or created by AI tools.

Algorithms sometimes fail to keep pace with changes in the environment and deliver poor quality predictions as a result.

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.