AI & Machine Learning
Building a Data-Driven Culture: Four Key Elements
Why is building a data-driven culture incredibly hard? It calls for a behavioral change across the organization.
Why is building a data-driven culture incredibly hard? It calls for a behavioral change across the organization.
For optimal business innovation, leaders must take a balanced approach to applying generative and analytical AI.
Key follow-up questions can help hiring managers probe beyond job seekers’ GenAI-coached responses.
AI experts Thomas H. Davenport and Randy Bean explain the top AI trends leaders should watch in the new year.
This Me, Myself, and AI episode features Heineken’s Ronald den Elzen in conversation with hosts Sam Ransbotham and Shervin Khodabandeh.
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.
This Me, Myself, and AI bonus episode features previous speakers and synthesis from hosts Sam Ransbotham and Shervin Khodabandeh.
This issue of MIT SMR focuses on improving work design, implementing AI, increasing employee engagement, and more.
Will your generative AI app succeed? A rigorous process for assessing its quality — before and after launch — is key.
Catch up on insights you might have missed as you look ahead to the potential business challenges of 2025.
On the Me, Myself, and AI podcast, Special Olympics CEO Mary Davis explains the opportunities AI raises for people with intellectual disabilities.
This bonus episode of the Me, Myself, and AI podcast features speakers from Oxford University and LinkedIn in conversation with host Sam Ransbotham.
Technologist Dr. John Halamka gives advice on keeping up with AI-driven change, in this short video.
Artificial intelligence is unlocking new levels of creativity in how organizations work together.
Leaders must cultivate human connection as voice-altering technologies emerge that can strip away vital auditory cues.
Consider these three takeaways for leaders on how to avoid pitfalls while using generative AI tools in decision-making.
AI-powered SPM can help businesses address their sales strategy and process problems through precision forecasting.
On this Me, Myself, and AI podcast episode, the nonprofit’s CEO argues for more transparency when companies err with AI.
Relying on generative AI tools to boost human efficiency can lead to more homogenous, less-original work outputs.