Join MIT MIMO and MIT CSAIL for the MIMO Symposium on May 6, 2025 at MIT’s Wong Auditorium.
This year’s symposium will see how Generative AI is transforming manufacturing and operations, with a focus on scaling domestic production, addressing labor shortages, and driving innovation. Attendees will gain insights into real world applications of AI, strategies for successful implementation, and best practices from AI leaders.
Keynote sessions and panels featuring industry experts and MIT researchers will provide answers to some of the most challenging questions facing leaders today, empowering you to navigate the evolving landscape of AI and unlock the full potential of the technology. Key topics include:
- Generative AI as a (Work) Force Multiplier: Discover how Generative AI is bridging skills gaps and enhancing productivity in domestic manufacturing, with real-world examples of its impact on operations.
- What Companies Succeeding with AI Do Differently: Learn the key practices that set AI leaders apart, including executive sponsorship, cross-department collaboration, strategic partnerships, and data management.
Featured Panels:
- Generative AI Applications to Preserve Institutional Knowledge and Automate Frequent Tasks: Learn how Generative AI is preserving institutional knowledge, automating repetitive tasks, and driving productivity gains in manufacturing and operations.
- Generative AI in Life Sciences/BioPharma: Discover how AI is revolutionizing drug discovery, surgical innovation, and personalized medicine, accelerating research and improving patient outcomes.
- What Companies Succeeding with AI Do Differently: Gain actionable insights into the strategies enabling leading companies to achieve transformative results with AI.
Register today and equip yourself with the knowledge and connections to shape the future of intelligent manufacturing and operations!
Speakers
EVP of Customer and Technology Partnerships
PTC – LinkedIn
SVP of Manufacturing, Supply Chain Management and Purchasing
Nissan Americas – LinkedIn
Director of Cloud & AI Innovation Team (CAIT)
AWS – LinkedIn
Assistant Professor
MIT – LinkedIn
Partner
McKinsey & Company – LinkedIn
Managing Director
MIT Machine Intelligence for Manufacturing and Operations – LinkedIn
Technical Fellow
Boeing – LinkedIn
Cofounder and CTO
Arch Systems – LinkedIn
Senior Partner
McKinsey & Company – LinkedIn
Vice President Digital Innovation for Global Product Development and Supply
Bristol Myers Squibb – LinkedIn
Founder & CEO
Standard Bots – LinkedIn
Electrical Maintenance Manager
North American Stainless – LinkedIn
VP & Chief Information Officer
Panasonic Energy of North America – LinkedIn
Artificial Intelligence Architect
Toyota North America – LinkedIn
Sr. Director Data & Digital Solutions – Medtech Quality
Johnson & Johnson – LinkedIn
President, Manufacturing and Services
Flex – LinkedIn
Head of Data Science and ML Engineering
National Grid – LinkedIn
Director Enterprise Architecture
Komatsu America Industries LLC – LinkedIn
Executive Editor, Digital
Harvard Business Review – LinkedIn
Quality Manager
Provisur Technologies – LinkedIn
Executive Director
MIT Leaders for Global Operations Program – LinkedIn
CIO
Abiologics – LinkedIn
Head of Software Engineering
DeepHealth – LinkedIn
VP – IT, Application Solutions & Implementations
Flex – LinkedIn
Sr. Director – AI & Data Governance
BAE Systems – LinkedIn
Professor
MIT – LinkedIn
Schedule
Registration
8:00 AM – 8:45 AM: Registration for the event, including collection of name badges
Opening Remarks
8:45 AM – 9:00 AM: Bruce Lawler, Managing Director – MIT MIMO and Thomas Roemer, Exec Director – MIT LGO
Using AI for Capturing Tribal Knowledge and Global Democratization at Nissan (Keynote)
9:00 AM – 9:30 AM: David Johnson, SVP Manufacturing and Supply Chain Management, Nissan
Blueprints for AI-Driven Transformation
9:30 AM – 9:50 AM: Inside the Data: Patterns of High-Performing AI Organizations Vivek Aurora, Partner, McKinsey and Bruce Lawler
9:50 AM – 10:40 AM: What Companies Succeeding with AI do Differently (Panel) Sarah Moughty, Executive Editor Digital, HBR (Moderator) – Pavel Ozhogin, National Grid – Everett Vazzana, North American Stainless – Justin Herman, PENA
10:40 AM – 11:00 AM: Break and Tabletop Exercise
11:00 AM – 11:20 AM: Leading the Change: The Executive Playbook for AI Success (Fireside Chat) John Lane, Application Solutions, & Implementations, Flex with David Johnson, Nissan
GenAI as a Force Multiplier: Accelerating Human and Machine Collaboration
11:20 AM – 11:40 AM: Scaling US EV Battery Production with Gen AI Justin Herman, VP and CIO, PENA
11:40 AM – 12:00 PM: Structuring the unstructured: Leveraging Enterprise Documentation to Fill the Skills Gap Raj Das, Enterprise Architect, Komatsu
12:00 PM – 12:50 PM: Lunch
12:50 PM – 1:00 PM: Introducing a Vision For New Manufacturing John Hart, Professor, MIT
1:00 PM – 1:25 PM: AI For The Intelligent Product Lifecycle Steve Dertien, EVP Customer Success at PTC
1:25 PM – 1:45 PM: Reimagining Product Design: Human-AI Collaboration in Practice Faez Ahmed, Professor, MIT
1:45 PM – 2:05 PM: Building with Agents: Tools and Architectures for Scalable Impact Arni Ragvender, Director, Cloud AI and Innovation Team, AWS
2:05 PM – 2:50 PM: From Pilot to Production: Agentic AI in the Modern Enterprise (Panel) Tim Burke, Co-Founder and CTO, Arch Systems (Moderator) – Daniel Braley, Technical Fellow, Boeing – John Lane, VP – IT, Application Solutions, & Implementations, Flex – Sid Srivastava, Quality Manager, Provisur Technologies – Rana Dalbah, Sr. Director – AI & Data Governance, BAE Systems
2:50 PM – 3:10 PM: Break
Harnessing GenAI to Augment Human Expertise: Industry Applications
3:10 PM – 3:30 PM: GearPal: Smarter Robotics Built from Generative AI Foundations Kordel France, AI Architect, Toyota
3:30 PM – 3:45 PM: Using GenAI to Program Robots for the Real World Evan Beard, CEO, Standardbots
3:45 PM – 4:00 PM: GenAI to Accelerate DocGen for Regulatory Compliance for MedTech Korey Philips, Sr. Director Data and Digital Solutions, J&J Depuy Synthes
4:00 PM – 4:45 PM: AI in Life Sciences and Biopharma (Panel) Delphine Zurkiya, Senior Partner, McKinsey (Moderator) – Julie Sheffield VP of Software Engineering at DeepHealth – Derrick Fournier, Vice President Digital Innovation for Global Product Development and Supply, Bristol Myers Squibb – Mike Hamill CIO at Abiologics
Closing Remarks
4:45 PM – 5:00 PM
Poster Session & Networking
5:00 PM – 6:30 PM: Poster Judging; Networking
6:30 PM – 6:45 PM: Poster Award Ceremony
Poster Competition
At each MIT MIMO Symposium, students from MIT present their research on the use of artificial intelligence, optimization, and advanced data analytics to impact manufacturing and operations. Participants are eligible for many different monetary prizes, which are awarded by academic and industry experts.
Are you an MIT student who is interested in entering this year’s competition? We want to hear from you!
Sponsors
Gold Sponsor + Symposium Poster Prize Sponsor
Silver Sponsors
Bronze Sponsors
Location
The 2025 MIT MIMO Symposium will be held on Tuesday, May 6, 2025 at the following location:
MIT Wong Auditorium
2 Amherst St
Cambridge, MA 02142
What is the MIT MIMO Symposium?
The MIT MIMO Symposium is a learning conference hosted annually by the MIT Machine Intelligence in Manufacturing and Operations program. The in-person event includes keynote sessions and panels featuring industry experts, a research poster expo, after-hours events, and more, providing a forum for attendees to discover how intelligent technologies are transforming manufacturing and operations.
Who should attend the MIT MIMO Symposium?
The MIT MIMO Symposium is ideal for anyone who wants to transform their business through the use of data and AI, discover the latest innovations with machine intelligence, and level up their AI knowledge to advance their career.