For the complete agenda, including times, speakers, and networking opportunities.

Monday, March 28

VIP Lab Tours

VIP Hybrid attendees are invited to join one of two in-person MIT Inside Track events, featuring an inside look at MIT’s AI research. Experience a rare peek inside one of two MIT labs and hear exclusive talks on AI research. Space is limited. Requires sign up on a first come, first served basis.

 MIT-IBM Watson AI Lab Tour

AI science for real world impact. Dr. David Cox, IBM director at the collaborative industrial-academic MIT-IBM Watson AI Lab, takes attendees on an exclusive guided tour of the lab facilities and discusses the key AI research underway.

*Available to VIP Hybrid ticket holders only*

 MIT CSAIL Visit

MIT Computer Science and Artificial Intelligence Laboratory has been an engine of innovation. Its researchers have created technologies integral to everyday life and spawned hundreds of companies. Get an exclusive overview of key projects currently in development.

*Available to VIP Hybrid ticket holders only*

Tuesday, March 29

Data-Centric AI

Better Data, Better AI

Data powers AI. Good data can mean the difference between an impactful solution or one that never gets off the ground. Re-assess the foundational AI questions to ensure your data is working for, not against, you.

Innovation to Reality

The challenges of implementing AI are many. Avoid the common pitfalls with real-world case studies from leaders who have successfully turned their AI solutions into reality.

Harness What's Possible at the Edge

With its potential for near instantaneous decision making, pioneers are moving AI to the edge. We examine the pros and cons of moving AI decisions to the edge, with the experts getting it right.

Generative AI Solutions

The use of generative AI to boost human creativity is breaking boundaries in creative areas previously untouched by AI. We explore the intersection of data and algorithms enabling collaborative AI processes to design and create.

Wednesday, March 30

Evolving the Algorithms

What's Next for Deep Learning

Deep learning algorithms have powered most major AI advances of the last decade. We bring you into the top innovation labs to see how they are advancing their deep learning models to find out just how much more we can get out of these algorithms.

AI in Day-To-Day Business

Many organizations are already using AI internally in their day-to-day operations, in areas like cybersecurity, customer service, finance, and manufacturing. We examine the tools that organizations are using when putting AI to work.

Making AI Work for All

As AI increasingly underpins our lives, businesses, and society, we must ensure that AI must work for everyone – not just those represented in datasets, and not just 80% of the time. Examine the challenges and solutions needed to ensure AI works fairly, for all.

Envisioning the Next AI

Some business problems can’t be solved with current deep learning methods. We look at what’s around the corner at the new approaches and most revolutionary ideas propelling us toward the next stage in AI evolution.