Constellation's AI Forum 2026
Time for a hot beverage, some light breakfast, and some human centric networking! Get registered and ready to go!
Your co-hosts Mark Minevich, Dr. David Bray, Michael Ni, and R "Ray" Wang will welcome the pioneers, practitioners, policy shapers to the AI Forum. Catch the latest trends and insights in this fast moving market and don't forget to take the latest AI survey!
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Constellation Research's Artificial Intelligence 150 (AI150) is an elite list of the top global executives leading AI transformation efforts across their organization and industry. With the boom of Generative AI, automation, and machine learning playing a pivotal role in accelerating digital transformation across all industries, these leaders embody the characteristics and knowledge needed to push the AI agenda further to drive organizational change.
The AI150 are the top pioneers, practitioners, and policy shapers who are inspiring others to accelerate AI transformation and address the key business and technology issues of this generation. Each leader listed on the AI150 demonstrates a comprehensive understanding of how the world is responding to artificial intelligence and how new technologies can be leveraged for future innovation. The selected executives enjoy substantive benefits and a private VIP invitation for membership to the Constellation Executive Network.
This is the session where we recognize the Class of 2025 AI. Please congratulate them at this recognition ceremony.
Want to nominate an executive disrupting their group, organization, industry or category? Email [email protected] with the name, title and what makes this person extraordinary to be considered to the list. Please note executives can't be named to the list more than once in a consecutive year.
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Power shifts, new mandates, real accountability come to bear as organizations grapple with how their AI projects will be led. Stripping out the titles, learn the emerging and changing roles and responsibilities for this all important role in AI.
Constellation's 5 Levels of Maturity to AI range from
- Augmentation
- Acceleration
- Automation
- Agentic
- Autonomous
Learn what's required for humans to stay in the loop and determine when autonomy helps and where it becomes reckless. Move from theory to practice on when organizations should place guardrails, kill switches and overrides in AI systems.
Grab a bite to eat, chat with a friend, and come back ready for more!
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Time to separate the marketing hype from operating reality. As models move from foundational to frontier to commodity, learn how pioneers future proof their architectures. In this build versus buy versus compose calculus, context engineering may emerge as a competitive advantage. Learn how the top organizations make platform decisions with exponential impact.
AI agents are being designed to negotiate contracts, move money, access sensitive data, coordinate work, and make decisions across systems. But none of this can scale safely unless we can reliably prove we are human, that our relationships – with organizations and with other people – are real, and that through those relationships we rightfully claim authority over AI workflows.
Understand the future of compliance policies, governance models, and trust frameworks that allow human intent and authority to be securely expressed inside an agentic AI system. Proof of control initiatives will:
- Establish verifiable personhood without surveillance
- Anchor real human and organizational relationships to AI agents
- Delegate authority to agents that remain accountable and reversible
- Enable agents to act, transact, and decide within provable bounds
- Secure provable control of one’s AI infrastructure, data and agents
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Join us for lunch on the Quad patio. We'll have time to reflect, share more ideas, and catch up with someone you've wanted to connect with.
National models, data sovereignty, and geopolitical realities converge as the world balances the thirst for power and the demand for compute. Discover where data centers are headed in 2026 and beyond.
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Artificial intelligence marks an exponential shift unlike any prior technology era. As organizations rethink how work gets done, traditional staffing pyramids are giving way to smaller, high-leverage teams powered by digital labor. With a few deep experts and AI-driven tools, enterprises can now build and scale solutions in weeks—not years—often outperforming far larger legacy organizations.
As services become productized and product teams adopt service models, legacy firms struggle to adapt without an AI-first mindset. In contrast, AI-native organizations operate with a greater span of control through decision automation, pairing human judgment with digital labor to achieve step-change gains in speed, efficiency, and performance.
Learn who these firms are and what they bring to the table for their clients as AI is used to deliver on exponential scale and infinite possibilities.
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Come share your favorite use cases as this interactive salon turns to the audience to hear what's working and what's not.
The New AI control plane requires right-time context and dynamic governance. A confluence of data, semantics, process, and decisions will decide what offers are served up, what actions are suggested, and how decisions are made. Hear what these advanced pioneers are doing to achieve decision velocity.
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While many enterprise AI initiatives stall at insights and pilots, process automation with embedded decisioning has quietly delivered production-scale results across manufacturing, logistics, and supply-chain-intensive industries. This session examines how process-driven industries have operationalized AI by embedding decision logic directly into workflows, enforcing constraints at runtime, and closing the loop between action and outcome. We'll translate hard-won lessons into practical guidance on what process automation with embedded decisions teach every Industry about scaling AI
This session focuses on how experienced operators are categorizing AI risk, separating signal from noise, and putting foundational guardrails in place across data, models, workflows, and decisions.
This session unpacks the hidden cost curve of AI from an operator’s perspective: where expenses unexpectedly spike, why planning models break down, and how finance teams are increasingly influencing architecture and vendor decisions. We’ll examine how organizations are reframing AI investments across CapEx and OpEx, what signals boards and investors are scrutinizing, and which design choices today reduce financial risk tomorrow.
Your co-hosts Mark Minevich, Dr. David Bray, and R "Ray" Wang will wrap up the event with final thoughts and lessons learned.
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Join us on the patio as we grab drinks, catch up on the day, and finish that one thought.
Invite only special dinner planned. You'll know if you are on the list. Secret details and locations on a need to know basis.