Machine learning, explained

Machine learning is a powerful form of artificial intelligence that is affecting every industry. Here’s what you need to know about its potential and limitations and how it’s being used.

Julia Wada stands up to microaggressions and knows that even a short note of encouragement can go a long way for a female colleague.

Big financial data represents a big opportunity for Wall Street. But is statistical trading making the markets more or less efficient?

Machine learning success starts with a strong data strategy, the right business use cases, and patience.

Supply chain guru Yossi Sheffi identifies post-COVID-19 trends, including blockchain, robotic process automation, IoT, dark stores, and “China plus one.”

AdviceMavens founder Anita Kibunguchy wants to see more structures in place to recruit and retain diverse hires — and help them succeed.

Unstructured data, artificial intelligence, and machine learning are fast becoming business requirements. Here is insight from data scientists and practitioners.

These five MIT Sloan alumnae are helping more women get into hiring pipelines, and making space for those behind them.

How to use data strategically, from best practices at data-driven companies to building a data culture and data team.

Third-party data is out there to find and use. To make external data work for your firm, vet it carefully and make it part of a centralized data strategy.