GenAI Lab
Generative AI Lab (GenAI-Lab) pairs student teams with cutting-edge projects involving generative AI technologies as they apply to real-world business challenges and opportunities. The focus of these projects is on strategic implementation and practical application, emphasizing how generative AI can drive innovation and solve complex business problems.
The rapid advancement of generative AI technologies is transforming business processes, decision-making, and innovation across industries. Organizations worldwide are grappling with the challenges and opportunities presented by these powerful new tools. We are at the forefront of a new era in artificial intelligence that offers unprecedented potential for both individuals and businesses.
GenAI Lab is a graduate level seminar course, spearheaded by the IDE and is part of MIT Sloan School of Management’s suite of Action Learning offerings. The course is led by IDE faculty John Horton.
In its first year, GenAI Lab was the most popular action learning course, increasing its student course cap and seeing cross-registration from students in the school of engineering and the MIT Media Lab. Over the course of the semester, students took on projects from cross-industry enterprise companies, startups, and NGOs.
Year 1 Project Hosts included:
- Accenture
- Blackrock
- BMW
- CIBC
- CyberArk
- Maersk
- Nasdaq
- Salesforce
- Schneider Electric
- Suffolk Construction
- the UN
- Upwork
- Verizon
- Wayfair
- Workday
For Project Host Companies
Propose Projects for A-Lab
We solicit projects beginning in mid-October; project work runs early February - mid-May. If you are interested in hosting a project this spring and submitting a proposal, we ask you to create an account and submit at the below portal.
Please reach out to us at ascerbo@mit.edu with any questions.