Data, AI, & Machine Learning

How companies assign responsibility for analytics is a crucial factor in exceeding business goals.

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.

IBM’s Mark Foster discusses what makes digital transformations succeed — and why it takes humanity.

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.

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

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.

Three crucial steps can help companies overcome legacy approaches — without automating everything.

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.

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

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.

Getting ahead of industry disruption, successful frameworks for strategic decision-making, and creating value through customer experience.

Companies already use data to make marketing decisions. Will deep learning enable a leap forward?