Platforms & Ecosystems
Building an AI Platform for the Future
Once AI becomes pervasive, it no longer gives companies an edge over rivals — but cultivating creativity can.
Once AI becomes pervasive, it no longer gives companies an edge over rivals — but cultivating creativity can.
What AI leadership traits matter now? Watch this short video to hear what AI experts and leading CIOs say.
In this brief video, economist Daron Acemoglu challenges the AI hype with data-driven predictions and business advice.
Philosophy increasingly shapes how digital technologies like AI reason and operate. Learn more in this video.
Wider options for finding talent, coupled with technology such as AI, are opening up possibilities to reshape work.
AI won’t affect every company the same way. Leaders can use a diagnostic framework to assess how it will affect theirs.
Experts weigh in on key AI challenges for business leaders, including risk management, ethics, and data management.
The retailer’s AI ethics approach starts with concrete business examples and teaches employees to keep asking questions.
Build AI ethics into process to pave the way for AI tools that are both innovative and responsible.
Which AI tool is the best option for solving your problem? Follow this pragmatic advice to figure it out.
Balance the rewards and risks of Bring Your Own AI tools and reap innovation gains.
Experts Thomas H. Davenport and Randy Bean discuss AI’s business impact and what leaders need to pay attention to now.
View this five-part video series to learn from leading experts about how AI is transforming the finance industry.
Agentic AI adopters must proactively address decision rights allocations, power dynamics, and decision-making practices.
Companies are getting real value from generative AI today and building for future transformation by managing risk.
For optimal business innovation, leaders must take a balanced approach to applying generative and analytical AI.
Generative AI can greatly enhance organizational learning, but using it successfully requires the right mindset.
Many organizations aren’t sure how to reap business value from GenAI. This series offers expert insights and examples.
Catch up on MIT SMR’s most popular artificial intelligence articles and get expert advice on solving key AI problems.
Technologist Dr. John Halamka explores how to approach the hard parts of AI strategy, in this short video.