Digital transformation for family-owned companies

From MIT Sloan, how to apply the tools of modern data science, optimization, and machine learning to solve real-world business problems.

Here’s how executives and senior managers can become effective and savvy champions of the data produced by their organizations.

Synthetic data offers the opportunity to test new ideas and develop new products without putting personal or health data at risk.

A framework based on data, models, decisions, and value can help you leverage analytics for better business outcomes.

From designing intelligent decision processes to tapping the full power of deep learning, here are data practices to adopt now from MIT Sloan analytics faculty.

Hiring managers from Netflix, Pfizer, Comcast, and more discuss essential technical skills, soft skills, and finding the elusive “super unicorn” data scientist.

New research shows that investors are most interested in processing data about large, high-growth firms over smaller companies, even those with high-growth prospects.

In the pursuit of personalized medicine, Isma Benattia finds rewards in ambitious projects.

New research shows that people are more likely to trust complicated machine learning models over models that they’re able to understand and troubleshoot.

Uncertainty will abound in 2023. Focus now on resilience, agility, examining external factors, and innovation in artificial intelligence.