The Region's Only Forum on Agentic AI
As AI systems evolve to become more autonomous, adaptive, and embedded, a critical question emerges:
How can leaders and organizations prepare for an agentic future?
The MIT Sloan Management Review Middle East’s AI Research Forum is the region’s premier platform for exploring the breakthroughs, strategies, and economic impact of AI.
The inaugural meeting of the forum will spotlight Agentic AI, which represents a transformative leap from task-specific tools to proactive agents capable of reasoning, learning, and acting with intent.
The forum on Agentic AI will bring together leading researchers, academic pioneers, and technology experts. Together, they will turn cutting-edge research into actionable insights—empowering leaders to drive innovation, enhance efficiency, and create lasting value.
Who is it designed for?
- Business leaders and C-suite executives navigating AI-driven change
- Technology strategists and CTOs seeking to integrate agentic systems
- Policymakers and regulators shaping responsible adoption
- Entrepreneurs and innovators building new products and services using autonomous AI agents
By attending, you will:
- Develop a clear and actionable strategy to integrate Agentic AI into your operations
- Learn how to foster internal collaboration and prepare your teams for AI adoption
- Gain insight into how Agentic AI offers a competitive edge in your industry
Attendees Receive
Livestream access to eight expert sessions
Certificate of attendance
Training sessions with select speakers
Synopsis of each session with key takeaways
Free download of MIT SMR’s exclusive AI whitepaper
Free three-month digital subscription to MIT SMR
I got more out of this four-hour event than three days at a coaching conference.
2023 Summit Attendee
All the speakers were great. I took pages of notes and downloaded all the handouts.
Amazing value! Very interesting presentations and useful insights.
Our Expert Speakers
We will feature a world-class lineup of thought leaders, innovators, and professors who are actively shaping the evolution of Agentic AI.
Thought Leaders
Dylan Hadfield-Menell
Assistant Professor,
MIT Computer Science & AI Lab
Marek Kowalkiewicz
Professor and Chair in Digital Economy
QUT Business School
Munther Dahleh
Founding director of the Institute for Data, Systems, and Society & Professor
Massachusetts Institute of Technology
Tim Kraska
Associate Professor of Electrical Engineering and Computer Science,
Massachusetts Institute of Technology
Industry Experts
More speakers to be announced soon.
Daron Acemoglu
Institute Professor, MIT, and 2024 Nobel Laureate in Economic Sciences
Daron Acemoglu
Institute Professor, MIT, and 2024 Nobel Laureate in Economic Sciences
Daron Acemoglu
Institute Professor, MIT, and 2024 Nobel Laureate in Economic Sciences
Daron Acemoglu
Institute Professor, MIT, and 2024 Nobel Laureate in Economic Sciences
Daron Acemoglu
Institute Professor, MIT, and 2024 Nobel Laureate in Economic Sciences
Daron Acemoglu
Institute Professor, MIT, and 2024 Nobel Laureate in Economic Sciences
Daron Acemoglu
Institute Professor, MIT, and 2024 Nobel Laureate in Economic Sciences
Daron Acemoglu
Institute Professor, MIT, and 2024 Nobel Laureate in Economic Sciences
A summit covering the essentials of Agentic AI.
Agenda
8:30
Registration & Networking Breakfast
Abbie Lundberg, Editor in Chief, MIT SMR
Elizabeth Heichler, Editorial Director, MIT SMR
Opening Remarks from MIT Sloan Management Review Middle East
Morning: Big-Picture Vision & Strategy
Keynote: The Age of Autonomous AI – Hype vs. Reality
Implementing Agentic AI at Scale: Lessons from Early Adopters
Panel: Human-AI Synergy: Redefining Collaboration
Tech Deep Dive - Architecting Scalable Agentic AI Systems
Economic Paradigms in an AI-First World
Coffee Break & Networking
Abbie Lundberg, Editor in Chief, MIT SMR
Elizabeth Heichler, Editorial Director, MIT SMR
Afternoon: Practical Applications & AI in Action
Abbie Lundberg, Editor in Chief, MIT SMR
Elizabeth Heichler, Editorial Director, MIT SMR
Panel: Agentic AI and the Future of Leadership
The Limits of Autonomy: Identifying AI’s Boundaries
Tech Deep Dive - Building & Deploying Your Own AI Agents
AI Governance in a World of Autonomous Systems
Tech Deep Dive - Engineering Agentic AI Workflows: Automation Meets Autonomy
Networking Lunch & AI Demos
Tech Deep Dive - Beyond Automation: The Rise of Agentic AI from RPA Roots
Building Resilience: AI as a Strategic Buffer Against Disruption
Tech Deep Dive - Security and Resilience in Autonomous AI Systems
Autonomous AI agents face specific security challenges such as adversarial manipulation, data breaches, and operational interruptions. Implementing robust safeguards like anomaly detection, secure data pipelines, and fail-safe protocols is critical to maintaining system integrity. Embedding security and resilience throughout the AI lifecycle ensures mission-critical applications remain trustworthy and operational under adverse conditions.
