Value creation is the true measure of successful AI implementation. It starts at proof of concept and considers AI’s impact on an industry, not just a company.
Five MIT entrepreneurs-in-residence share the strategies that separate successful startups from those that struggle when capital becomes scarce.
From MIT experts, strategies to transform skills, roles, and human potential across your organization.
Applying systems dynamics principles to industrial AI can ensure faster and more impactful business outcomes.
Learn how the MIT Entrepreneurship JetPack digital adviser guided health tech startup Femmli through a detailed approach to market segmentation.
Generative AI can help people lose weight, but it can’t replace the benefits of having a community of support, research from MIT Sloan shows.
Stalled projects and workarounds cause chaos in too many organizations. Dynamic work design offers a way to address this through continuous, hands-on problem-solving.
Companies that act on input from front-line employees pay their workers more and experience a productivity bump that offsets those costs.
Digital platforms have already changed how value is created and exchanged. Their next wave — spanning physical assets, AI, and automation — promises new efficiencies but also new risks.
Global, web-based community to pool intelligence to create solutions to address climate change
