Data, AI, & Machine Learning

It’s early in the age of experimentation — and the right time to start building expertise.

To launch successful products that delight customers, companies need a new approach to data analytics.

Assessments about China’s strengths in AI may be overblown.

Many organizations don’t understand the value of teaming machine capabilities with human abilities.

Collisions between innovators and existing players are forcing executives to rethink their strategy.

AI and automation are changing labor markets worldwide, but developing nations will be hit hardest.

Many leaders are building AI into their DNA. Some are still experimenting and some are pursuing AI at scale. This guide, a compilation of insights from MIT SMR, gives leaders research-based frameworks for how to think about changing your leadership, your culture, your data, and your talent in order to incorporate AI into your organization’s DNA.

Companies implementing AI must protect customers' autonomy, privacy, and individuality.

Leadership behaviors that build trust, purpose, and energy bolster collaboration and engagement.

New research offers companies a framework for managing successful country portfolios.