7 lessons for successful machine learning projects
Machine learning success starts with a strong data strategy, the right business use cases, and patience.
Machine learning success starts with a strong data strategy, the right business use cases, and patience.
A new book explores how game theory explains seemingly irrational behavior, from tastes in food to how people donate to charity.
Lenora Suki turns to impact-oriented, sustainable investors for inspiration, feedback, and collaboration.
The Focus program is the first new MIT REAP offering since its Global program launch in 2012, which has driven measurable impact in regions world-wide.
Now more than ever, retail success means focusing on relationships and loyalty programs, not transactions and discounts.
COVID-19 is upending data analytics practices, sidelining predictive analytics, and driving firms to external data and other economic indicators.
At Ceres, Chris Fox leads collaborative, goal-based work with investors to limit global warming.
Running IT as a separate department prevents companies from reaching their digital goals. Here’s a better model.
Brad Feld, SB ’87, SM ’88, shared his insights on various topics that impact the success and well-being of today’s entrepreneurs.
Dimitris Bertsimas has worked in artificial intelligence for more than 20 years, spanning fields from health care to climate. He's optimistic that AI will be multimodal and multitasking, but he also sees challenges ahead.