How financial data affects stock market efficiency

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.

Hill House director Lauren Hoops-Schmieg sees nonprofits as a haven where women and men can build their careers and families.

Data literacy is an in-demand skill for many workers and a stepping stone to becoming a data-driven organization. Here’s how to get started.