AI & Machine Learning
Why Executives Can’t Get Comfortable With AI
In the age of artificial intelligence, executives must make maintaining their AI literacy a habit.
In the age of artificial intelligence, executives must make maintaining their AI literacy a habit.
On the Me, Myself, and AI podcast, Jackie Rocca explains how Slack uses artificial intelligence to relieve user pain points.
The nonprofit is delivering technology and services to help its staff build AI applications efficiently and safely.
To reduce the risk of accidentally using bad artificial intelligence, we need regulation — and skepticism.
Learn to drive digital transformation by turning business-domain experts into citizen developers.
On the Me, Myself, and AI podcast, Daniele Petecchi discusses how Pirelli uses AI to develop tires more efficiently.
MIT SMR wants to hear from you, our readers, to better understand your biggest challenges and help you meet them.
Analyzing factors behind generative AI’s value can help leaders determine who will benefit most from its growth.
To succeed with machine learning, manage projects as business initiatives, not technology projects.
LLMs have immense capabilities but present practical challenges that require human knowledge workers’ involvement.
Journalist and podcast producer Jennifer Strong shares insight into her experiences producing audio journalism.
This free webinar offers expert insights on effective data-management strategies for AI adoption.
When deciding whether to deploy a machine learning model, focus on business metrics, not technical ones.
On the Me, Myself, and AI podcast, Tom Davenport discusses how organizations might use generative AI.
A new framework can help companies fine-tune their product demand forecasting by using human and AI agents in concert.
Generative AI tools suit some decision-making situations, but not all. Here’s how to pick the best approach.
On the Me, Myself, and AI podcast, Mark Surman discusses Mozilla’s work to protect internet users as AI tools multiply.
Three new surveys of data executives have identified five trends they’ll be paying attention to in 2024.
Artificial intelligence developers can make choices that will reduce the emissions generated by AI training models.
This webinar from MIT SMR offers guidance to help business leaders thoughtfully plan a generative AI implementation.