AI & Machine Learning

Black swans, COVID-19’s supply chain impact, a global upskilling push, and human-machine teams.

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

A webinar explains how AI can improve communication and coordination across business units

On Tuesday, March 10, we’ll talk about artificial intelligence and business.

Today’s direct-to-consumer disrupters, the reality of running an AI business, and managing digital natives.

Looking back on disruptive innovation theory and preparing for smarter crowdsourcing.

Pipeline’s Katica Roy explains how AI can help change the narrative around workplace gender bias.

The future workforce and navigating corporate strategy and growth in a world in climate crisis.

The most challenging path for systems evolution is also the most rewarding.

Our experts reveal where leaders should focus their efforts in 2020 and beyond.

Sparking creative cultures, three lessons for smart leaders, and better job interviewing.

AI strategy will only get big results if companies focus on what AI can do at scale.

Research examined how innovation and technology are changing how we strategize, lead, and create.

The most popular articles of 2019 address continuous learning, responsiveness, and adaptability.

Social listening — analyzing what consumers say on social media — can serve as a treasure hunt map.

The changing role of CEO, designing AI systems customers won’t hate, and a lesson from Beethoven.

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

MIT SMR Winter 2020 examines workers’ emotions and education, tech dilemmas, and how best to transform.

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

MIT SMR authors David Bray and R “Ray” Wang discuss how people-centered design principles can serve as a framework in AI implementation.