Join MIT's Neil Thompson for a Deploying AI Info Session
Learn more about the MIT xPRO and CSAIL course, Deploying AI for Strategic Impact, from Neil Thompson, MIT principal research scientist.
Info session date
September 2, 2026
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TIME
12:00 PM
Duration
45 Minutes
Includes Q&A Session
SIGN UP FOR THE INFO SESSION
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Artificial intelligence is transforming industries, but moving from pilot projects to real business impact is rarely straightforward. Understanding the challenges facing organizations and how to address them is key to deploying AI effectively.
In this free info session, Neil Thompson, MIT principal research scientist and instructor of Deploying AI for Strategic Impact, will cover:
- Who the course is designed for
- What skills and topics are covered
- What the learning experience is like, including the course structure, content, and faculty involved
- The impact on past learners' careers
- How to enroll in the next session of the course
Stick around for a live Q&A to get your questions about the course answered.
Reserve your spot now by filling out the form above. A confirmation email with Zoom access details will follow. A recording will be sent to all registrants following the session.
WHY ATTEND?
Gain insights from MIT’s Neil Thompson on the biggest challenges organizations face when deploying AI.
Explore how the Deploying AI for Strategic Impact online course equips professionals to evaluate opportunities and make informed decisions.
Understand who the course is designed for and what you’ll learn over the 9-week experience.
Participate in a live Q&A and get your questions answered directly by MIT faculty and the course team.
MEET YOUR INSTRUCTOR
Neil Thompson is an MIT Principal Research Scientist at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) and the MIT Initiative on the Digital Economy (IDE)
His research and teaching focus on the economics of innovation, artificial intelligence, and the future of computing.
Previously, Neil was an Assistant Professor of Innovation and Strategy at the MIT Sloan School of Management, where he codirected the Experimental Innovation Lab (X-Lab), and a Visiting Professor at Harvard’s Laboratory for Innovation Science. He has advised businesses and government agencies on the future of Moore’s Law and machine learning, and has served on National Academies panels on transformational technologies and scientific reliability.
