AI Symposium

Private AI for the Enterprise

An invite-only gathering of senior leaders and builders deploying private AI in secure, real-world enterprise environments.

Our focus is on live demonstrations of real private AI deployments—showing how enterprises are operationalizing AI today, from data protection and compliance to measurable business results.

April 13-14, 2026 · St. Julien Hotel, Boulder, Colorado

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Rapid fire 15-minute demos

What makes this event different?

Participants Represent Each Layer of the GenAI Tech Stack

Our AI Symposiums are all about action. After hearing from top AI leaders, you’ll dive into real-world successes that tackled complex industry challenges. Leave with new friends, plus insights you can immediately apply.

With executives from retail, finance, telecom, and beyond—plus experts across the AI stack—we break down silos to drive real innovation.

No vendor pitches. No hypotheticals. Just live examples of AI models, hardware, and data operating in safe, governed environments.

Made Possible By

Spring 2026 Agenda

IterateOn helps executives understand how AI really works—from the ground up.
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From infrastructure and models to the application layer, where agents do real work. Usually, with humans in the loop. But, increasingly, on their own.
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That understanding leads to outcomes that matter: higher revenue, lower costs, and faster throughput.
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Outcomes are the obvious goal. But without seeing the full system, you can’t optimize it. And when you don’t understand the whole picture, you’re forced to trust those who do.

    April 13th

    AI Governance. Executive Accountability.

    3:00pm — 6:00pm

    Closed-Door Executive Session

    Request aN Invite

    St. Julien Hotel & Spa, Boulder
    A private working session for a small group of board directors and senior executives examining the governance realities of AI inside modern enterprises. Through candid discussion and expert perspectives, participants explore fiduciary duty, legal exposure, financial oversight, and what true operational control of AI systems requires at the board level.
    Learn More
    Request an Invite

    5:30pm — 7:00pm

    Cocktails & Networking

    St. Julien Hotel & Spa  ·  Boulder, Colorado
    Recognizing leaders advancing AI governance, innovation, and enterprise responsibility.
    Conclude the day with drinks and networking, fostering connections and discussions sparked throughout the day.

    "If the rate of change on the outside exceeds the rate of change on the inside, the end is near."

    — Jack Welch

    A Full Day of Events

    April 14th

    Private AI.  Quantum Reality. Governable Systems.

    Tenative agenda.

    7:30 — 8:00am

    Continental Breakfast

    Location: Ballroom Pre-Function, St Julien Hotel & Spa

    8:00 — 8:05am

    OPENING

    The Point of No Return: What Happens When AI Stops Being a Tool and Starts Being a System
    Some of you were in the room yesterday afternoon. You heard the governance case — the fiduciary argument, the legal exposure, the question of who owns runtime authority when an AI system acts on its own at 2am. Today is the answer to the question that session was designed to raise: what does any of that actually look like inside a real enterprise system?
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    For those joining us for the first time today: welcome. You're arriving at the right moment. The day turns on two irreversible shifts — AI autonomy and governance — and a third one most leadership teams aren't tracking yet: quantum sensing and computing, which are closer than the headlines suggest. The choices enterprises make in 2026 will determine whether they govern AI by 2027, or get governed by it.
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    A rapid-fire P&L reality check follows: ten real, profitable AI use cases already driving measurable results across revenue, cost, fraud, compliance, and operations.
    Speaker: 
    Jon Nordmark — CEO & Co-Founder, Iterate.ai · Co-Founder & Former CEO, eBags.com — scaled to $165M in annual revenue and acquired by Samsonite

    Act 1:
    The Autonomous Turn

    Theme: AI is no longer waiting for instructions. It's already moving.
    Takeaway: We're not choosing tools—we're choosing futures.

    8:05 — 8:25am

    Act 1:
    The Autonomous Turn

    When AI Runs our Institutions, Who Runs AI? Welcome to The Office of Human Purpose and Flourishing
    Hans Peter frames AI not as just another a software upgrade, but as a societal reconfiguration — a supercharged cognitive revolution unfolding 10× faster with 10× the impact of the industrial revolution. What does it mean when AI increasingly runs society, from governments to corporations to schools and much more? What is our role in shaping that world?
    Speaker: 
    Hans Peter Brondmo — former CEO, Everyday Robots, Google X, Start-up Advisor, Visiting Committee Member, MIT Media Lab

    8:25 — 8:35am

    Act 1:
    The Autonomous Turn

    Robotic Cars Didn't Ask Permission: The Real Timeline for Autonomous AI — and What It Takes to Get There Safely
    Autonomous vehicles are already operating on public roads. But when will they be everywhere — and what does it actually take to get there? Chris spent three years building the AI stack at Zoox, designing and training the multimodal language models that interpret driving behavior, handle long-tail scenarios, and support validation. He brings a rare, unvarnished view of what happens when AI systems move from prototype to persistent real-world operation — and what governance gaps look like when the cost of getting it wrong isn't a bad quarter, it's a life.
    Speaker: 
    Chris Heckman, Ph.D. — Professor, University of Colorado · Former AI Stack Engineer, Zoox · Former Postdoctoral Fellow, Naval Research Laboratory

    8:35 — 8:45am

    Act 1:
    The Autonomous Turn

    OpenClaw, MoltBook, and the $8 Million Wake-Up Call: What Happens When Agents Go Feral
    Autonomous cars are already driving. Waymo in SF. Zoox in Vegas. And Waymo is coming to Denver.
    ‍
    Now autonomous agents are roaming the web, too. In January 2026, OpenClaw went viral. By February: 1.5 million agents created, 770,000 spawned in a single week, 1.49 million database records exposed, an $8 million crypto scam executed, and Cloudflare's stock moved 14%. This is not a hypothetical. A candid teardown of what commercial-scale agent swarms look like when governance is an afterthought.
    Speaker: 
    Todd Sherman — Former CMO, Amplero · Established Amazon's Third-Party Marketplace

    Act 2:
    Real time, BiG Memory IS THE NEW CONTROL PLANE & Why Public AI Breaks in the Enterprise

    Theme: Architecture, memory, and risk, plus how AI behaves at scale.
    Takeaway: The most dangerous systems aren't the smartest. They're the ones that have the biggest memories. And the ones that you don't control yourself.

    8:45 — 9:00am

    Act 2:
    Real time, BiG Memory IS THE NEW CONTROL PLANE & Why Public AI Breaks in the Enterprise

    AI Will Remember Everything... Except What Makes You Great
    Those autonomous agents are becoming smarter and smarter. They want to remember everything.

    Despite $30–40 billion in enterprise A.I. investment last year, 95% of organizations saw no measurable ROI. The problem isn't the technology. It isn't the architecture. It isn't even the governance framework. It's what A.I. memory CAN'T see. A.I. can capture what happens, but organizational greatness almost never lives in what happened. It lives in what didn't — the invisible acts of human restraint that no A.I. system, however sophisticated, can capture. In the rush to keep up, we've built systems that recall everything… and  forgot to ask what's actually worth remembering.
    Speaker: 
    Josh Allan Dykstra — Optimistic Futurist & Keynote Speaker Hello Tomorrow, Board Member

    9:00 — 9:10am

    Act 2:
    Real time, BiG Memory IS THE NEW CONTROL PLANE & Why Public AI Breaks in the Enterprise

    The Autonomous Enterprise: Scaling Enterprise with Agentic Governance
    Agentic workflows don't operate the way traditional automation does. They execute through autonomous reasoning, tool-use, and multi-step orchestration—each introducing unique security, data, and logic risks. This session explains how agents can become "insider threats," why unmanaged autonomy leads to cascading failures, and how to implement a trifecta of Critic Agents, Human-in-the-Loop triggers, and Role-Based Access to ensure your enterprise intelligence is both high-velocity and highly governed.
    Speaker: 
    John Selvadurai, Ph.D — VP R&D, Iterate.ai · Former SAP Architect

    9:10 — 9:25am

    Act 2:
    Real time, BiG Memory IS THE NEW CONTROL PLANE & Why Public AI Breaks in the Enterprise

    International Crime Investigation Authorities Called. Here's What AI-Enabled Crime Actually Looks Like Now.
    This is why companies and people need to be careful about what you allow AI and Agents to remember.

    Threat actors like Scattered Spider — thought to be roughly 1,000 loosely affiliated actors operating across the US and UK — are among the fastest adopters of AI on the planet. And they're not alone.

    State-sponsored AI teams from Russia, China, North Korea, and Iran are now using frontier models at every stage of the attack cycle: reconnaissance, phishing, malware development, and data exfiltration. North Korea uses AI to synthesize intelligence on targets at defense companies. Iran uses it to augment reconnaissance and map business partner networks. China uses it to conduct vulnerability analysis and penetration testing planning against US targets.

    These groups are deploying AI across the full attack surface. Social engineering is one method — cloning executive voices, manipulating help desks, automating identity takeover at scale. But it doesn't stop there. The same groups use agentic AI scripts to infiltrate code repositories and accelerate source code theft, run automated reconnaissance that maps internal networks and locates SOPs faster than any human analyst, exploit leaked credentials to move laterally before anyone knows they're inside, and — increasingly — use prompt injection to hijack AI agents operating inside enterprise systems, redirecting them to exfiltrate data or execute actions their owners never authorized. When your AI agent can be told what to do by the content it's reading, the attack surface isn't just your network. It's every document, email, and data feed your agents touch.

    Sibito has been inside this fight. His team built the predictive fingerprinting system — developed in collaboration with the International Crime Investigation Authorities — that detected the behavioral signatures left by AI-automated attack operations. What he found, and what he'll discuss this morning: identity is now the perimeter, and AI has made every attack vector faster, cheaper, and harder to detect.

    The question isn't whether your organization is a target. It's whether your defenses were built for the threat that exists today.
    Speaker: 
    Sibito Morley — Co-Founder and President, Veromesh.ai · Former Chief Data Officer, Sinch (~1T of Western-world mobile message traffic flows through this network) · Former CTO, Lumen, Century Link, Davita

    9:25 — 9:40am

    Act 2:
    Real time, BiG Memory IS THE NEW CONTROL PLANE & Why Public AI Breaks in the Enterprise

    Three Rings: Why Private AI Is an Architecture Decision, Not a Vendor Choice
    To be as safe as possible, organizations and people need Private AI.

    Private AI is not a product category. It is an architectural commitment spanning data, models, and hardware. Brian introduces the Three Rings framework and explains precisely why control, containment, and accountability collapse under public AI architectures — and what it takes to build systems where governance is structural, not performative.
    Speaker: 
    Brian Sathianathan — Co-Founder & Chief Technology & AI Officer, Iterate.ai · Former Engineering Leader, Apple (Secret Products)

    9:40 — 9:50am

    Act 2:
    Real time, BiG Memory IS THE NEW CONTROL PLANE & Why Public AI Breaks in the Enterprise

    Sovereign AI in Action: How Hybrid Architecture Can Accelerate National Digital Transformation
    A practical look at how hybrid AI architecture can help governments and institutions scale AI without becoming fully dependent on cloud-first models. Based on an African government use case, this talk shows how AI-native devices, local edge execution, and selective cloud coordination can strengthen resilience, support public services, and create a more sovereign path to national digital acceleration.
    Speaker: 
    Miguel Stief — Dominant Success, Global CEO, Executive Advisor, and Transformation Leader

    9:50 — 10:05am

    Break

    10:05am — 10:35am

    QUANTUM INTERLUDE

    When the Physics Change, the Architecture Has to Change With It  ·  30 minutes  ·  3 talks
    Boulder is not a coincidence. It has become one of the world's most concentrated clusters of quantum research and development — anchored by CU Boulder's five Nobel Laureates, NIST, and a growing ecosystem of deep-tech companies building the hardware that will define the next era of computing. Thirty percent of the world's quantum sensing companies are in the Boulder area. The next three talks show why that matters right now — and how quantum and AI are converging faster than most leadership teams are tracking.

    10:05 — 10:15am

    QUANTUM INTERLUDE

    Talk 1, 10 minutes
    How AI Is Making Quantum Usable
    Quantum computing has promised breakthroughs on some of the hardest computational problems for years, but noisy hardware, complex programming, and difficult calibration have kept it largely in the hands of specialists. AI is starting to change that. Across the stack, large language models are helping with algorithm design and code generation, while machine learning is improving circuit optimization, hardware tuning, and noise mitigation. The pattern is becoming clear: AI will not compete with quantum computing. It will make it usable. Rob Wamsley explains where that shift is already happening in practice, where the limits still are, and what this emerging model of human direction, AI assistance, and selective quantum execution means for enterprise teams thinking about next-generation compute.
    Speaker: 
    Robert Wamsley, Ph.D. — Physicist & Quantum Algorithm Researcher, Quantum Rings · Building tools to simulate quantum futures before the hardware arrives

    10:15 — 10:25am

    QUANTUM INTERLUDE

    Talk 2, 10 minutes

    Quantum Is Already Here: Detecting Cancer Through Breath, Powered by AI and Funded by DARPA
    Quantum isn't only about computing — it's about sensing. Eva's company Flari uses quantum-grade optical frequency comb technology to detect disease biomarkers in breath with a precision that classical instruments can't match. The catch: the data these sensors generate is so complex that only AI can interpret it at scale. Eva will show how AI and quantum sensing are already converging in healthcare — and how DARPA-funded research is accelerating the path from lab to clinical deployment. This is what it looks like when quantum comes to life in the real world.
    Speaker: 
    Eva Yao, Ph.D. — Founder & CEO, Flari · DARPA-Funded Quantum Molecular Sensing for Biomedical Research and Disease Detection

    10:25 — 10:35am

    QUANTUM INTERLUDE

    Talk 3, 10 minutes

    Why NVIDIA Is Betting on Boulder: Atom Computing, DARPA, and the Race to Build the World's First Useful Quantum Computer
    DARPA reviewed 18 of the world's most advanced quantum computing companies for its Quantum Benchmarking Initiative — a rigorous program designed to determine whether fault-tolerant, utility-scale quantum computers can be built by 2033. Only 11 survived to Stage B. Atom Computing, headquartered in Boulder, is one of them — alongside IBM, IonQ, and Quantinuum. In October 2025, Jensen Huang unveiled NVQLink — a new architecture directly connecting NVIDIA's GPU supercomputers to quantum processors — and Atom Computing was named one of its 17 founding hardware partners. NVIDIA's bet is straightforward: GPUs won't be replaced by quantum computers. They'll be the engine that runs them. Justin explains what this convergence means and what the AI-quantum hybrid era will actually look like for enterprise compute.
    Speaker: 
    Justin Ging — Chief Product Officer, Atom Computing · One of 11 Companies DARPA Selected as a Plausible Path to a Fault-Tolerant Quantum Computer · NVIDIA NVQLink Founding Partner · MIT Leaders for Manufacturing Fellow

    Act 2 Continued:
    Real time, BiG Memory IS THE NEW CONTROL PLANE & Why Public AI Breaks in the Enterprise

    Architecture, memory, and risk, plus how AI behaves at scale.
    Takeaway: The most dangerous systems aren't the smartest. They're the ones that have the biggest memories. And the ones that you don't control yourself.

    10:35 — 10:45am

    Act 2:
    Real time, BiG Memory IS THE NEW CONTROL PLANE & Why Public AI Breaks in the Enterprise

    Most AI Security Tools Weren't Built for Enterprises: A Preemptive Cyberdefense Approach
    Imagine a scenario where fast-moving cyber attacks breach your state-of-the-art cyber defenses and cause catastrophic damage. By the time an attack is detected, it is already too late. This is not hypothetical; cybercrime is projected to cost up to $10.5 trillion globally in 2025. Addressing this requires a mathematically rigorous solution to ensure that customers’ cyber defenses are preemptively, completely, continuously, and verifiably configured to defend against all known attacks that matter to them. Yet, no solution currently exists that addresses this long-standing industry-wide risk, which is worsening by the day due to GenAI-powered and fast-moving attacks.

    Cybersecurity Stealth Startup is building the world's first preemptive, complete, continuous, and verifiable cyber defense platform, combining best-in-class threat intelligence, formal mathematical modeling of your defenses for complete verifiability, and grounded and guardrailed AI-powered remediation recommendations to close gaps in your defenses. Join us to kick off your preemptive cyber defense journey.
    Speaker: 
    Jai Desai — Head of Business Development and Sales Rigor.ai, Founding Member

    10:45 — 10:55am

    Act 2:
    Real time, BiG Memory IS THE NEW CONTROL PLANE & Why Public AI Breaks in the Enterprise

    Taming the AI Chaos: From LLM Sprawl to a Private, Multi-Cloud AI Fabric
    Enterprises are rapidly entering a phase of LLM sprawl—where 60–80% of AI workloads are now distributed across multiple models, clouds, and environments, driving unpredictable cost, security exposure, and network inefficiency. This session explores how leading organizations are re-architecting around private interconnection to reduce network and egress costs (often by 30–70%), enable seamless multi-model (frontier + open-source) adoption, and future-proof AI infrastructure off the public internet. We’ll also unpack the evolving infrastructure stack—from liquid-cooled GPU clusters to emerging deployments with smaller footprints, driving faster ROI and more versatility.
    Speaker: 
    Justen Aguillon — Director, Technology Partner Ecosystem, Equinix · Architect of the Fabric Intelligence vision connecting AI providers and enterprise subscribers across 270+ global data centers

    10:55 — 11:20am

    Act 2:
    Real time, BiG Memory IS THE NEW CONTROL PLANE & Why Public AI Breaks in the Enterprise

    Panel: Agent Proliferation Could Outrun Government and Enterprise Controls
    Agents are proliferating inside enterprises faster than leadership can track. The hardest part isn't choosing a model—it's controlling what agents remember, what they're allowed to do with that memory, and how quickly bad state spreads across tools, systems, and people. Where do real-world deployments actually fail? What guardrails work at runtime—not just on paper?
    Moderator: 
    Brian Sathianathan — Co-Founder & Chief Technology & AI Officer, Iterate.ai
    Panel: 
    Sibito Morley — Co-Founder and President, Veromesh.ai · Former Chief Data Officer, Sinch (~1T of Western-world mobile message traffic flows through this network) · Former SVP, Lumen Technologies and CenturyLink
    Rob Taylor — AI Attorney, Carstens, Allen & Gourley
    Jerry Xu, PhD, FRM — Investment VP, Prudential Financial
    Mike Caneja — Director, Product Management, Toast

    11:20 — 11:35am

    Act 2:
    Real time, BiG Memory IS THE NEW CONTROL PLANE & Why Public AI Breaks in the Enterprise

    Beyond the Hype: A Practical Pathway Toward AGI with Small Language Models, Knowledge Graphs, and Multi-Agent Systems
    The conversation around Artificial General Intelligence (AGI) is often dominated by scale: larger models, more data, and increasing compute. But in real-world systems, scale alone is not enough. This talk presents a grounded, systems-oriented perspective on building intelligent systems that actually work in production. It explores how smaller, specialized language models, when combined with structured knowledge bases and coordinated multi-agent architectures, can deliver reliable, explainable, and scalable intelligence. Drawing from real-world deployments across domains such as agriculture and enterprise systems, Srikanth will unpack: (a) Why smaller, domain-adapted models often outperform general-purpose models in constrained environments (b) How knowledge graphs anchor reasoning, improve traceability, and reduce hallucination (c) The role of multi-agent systems in orchestrating complex, real-world decision-making (d) What it truly takes to move from proof-of-concept (POC) AI to production-grade systems. Rather than asking “How do we build AGI?”, this session reframes the question: “How do we systematically assemble intelligence from modular, reliable components?” For leaders and practitioners, this represents a shift from chasing trends to designing systems that deliver consistent, measurable value.
    Speaker: 
    Dr. Srikanth Thudumu — Institute of Applied Artificial Intelligence and Robotics (IAAIR)

    11:35 — 11:50am

    Act 2:
    Real time, BiG Memory IS THE NEW CONTROL PLANE & Why Public AI Breaks in the Enterprise

    From AI Hype to AI Execution
    As we prepare to head into the demo section of IterateOn, which convenes after lunch. Let’s ask the author of Avoiding the Strategy Trap. He’ll talk about how leaders create the conditions for AI agents to deliver real value.

    Many organizations struggle to turn AI pilots into real operational impact.

    In this talk, Kevin Ertell, author of The Strategy Trap, explains why the challenge is rarely the technology itself. It’s the operating conditions around it.

    Drawing on his Six Cs system — Co-Creation, Clarity, Capacity, Communication, Coordination, and Coaching — Kevin shows how leaders can design organizations where AI agents actually improve performance instead of becoming another abandoned experiment.

    This session provides a practical lens for leaders responsible for turning AI from an idea into consistent execution.
    Speaker: 
    Kevin Ertell — Author of The Strategy Trap: Why Companies Fail at Execution, CEO Mistere Advisory, former Global VP Retail Operations at Nike.

    11:50am — 12:20pm

    Lunch Buffet

    Location: Ballroom Pre-Function, St Julien Hotel & Spa

    "Data is the new oil. It’s valuable, but if unrefined it cannot really be used. It has to be changed, processed, broken down, and analyzed for it to have value."

    — Clive Humby, British mathematician and architect of the Tesco Clubcard, 2006

    Act 3:
    What Governable AI Actually Looks Like

    Theme: Control in practice—live demos.
    Takeaway: This is what responsible AI looks like in the real world.

    12:20 — 12:25pm

    Act 3:
    What Governable AI Actually Looks Like

    A 17-Year-Old Built a Game in a Day. 18.9 Million People Played It in Three Weeks.
    This is what vibe coding looks like at its purest: no budget, no team, no marketing plan — just a teenager, agentic tools, and an idea. Highlandrr built Not Cute Anymore Tower on Roblox in a single day using AI-assisted development, then watched 18.9 million people play it in three weeks. Along the way he built a community of 1.3 million Roblox players in under two months — without a marketing department, a growth team, or a dollar of paid acquisition. No enterprise process. No governance framework. No sprint planning. The question this raises for every organization in the room: if a 17-year-old can build and ship a product used by millions in 24 hours, what does that mean for who builds what next — and what happens when your competitors figure that out before you do?
    Speaker: 
    Highlandrr — Valor High School Student

    12:25 — 12:35pm

    Act 3:
    What Governable AI Actually Looks Like

    Forget Automated Code; Now You Can Build an Agent in Minutes
    Highlandrr built a game in a day.  Just one person. That's fine for a Roblox game.  But what about building agents for a hospital, a financial services firm, or a public company? This session is the enterprise answer to the question the previous demo raised: how do you move fast with AI without losing control of what it builds? Blake shows what responsible AI development actually looks like from the first line — scope, guardrails, and governance defined before a single line of code is written. Most enterprises skip this step entirely. This demo shows exactly what it costs them, and what it looks like when you get it right.
    Speaker: 
    Blake Stenstrom — AI Engineer, Iterate.ai · Princeton-Trained Algorithms Expert

    12:35 — 12:50pm

    Act 3:
    What Governable AI Actually Looks Like

    AI in Agriculture: When the Data Comes From the Ground Up
    Agriculture generates enormous amounts of data — soil conditions, weather patterns, yield histories, supply chain timing, equipment telemetry — and almost none of it has been accessible in a form that drives real decisions. This demo shows how private AI is being applied to that problem at the World Food Bank: turning ground-level data into forecasting, resource allocation, and operational decisions that directly affect food security outcomes. The governance requirements are different from enterprise IT — the infrastructure is distributed, the connectivity is unreliable, and the stakes are measured not in revenue but in whether communities eat. Richard brings a perspective that no other presenter today carries: what it looks like to deploy AI in environments where the margin for error is human, not financial.
    Speakers: 
    Richard Lackey — CEO & Chairman, World Food Bank

    12:50 — 1:05pm

    Act 3:
    What Governable AI Actually Looks Like

    No Cloud. No Power. No Connectivity. AI Anyway: Far Edge Intelligence in the Field
    Most AI assumes something many real-world environments can't guarantee: a reliable connection. Point-of-sale systems in basements, pop-up locations, outdoor markets, and remote stores can't wait for a signal — and can't afford to fail when one isn't available.

    This session demonstrates what AI looks like when it runs fully offline on constrained hardware — no cloud dependency, no round-trip latency, no single point of failure tied to connectivity. The enabling hardware is Qualcomm's Snapdragon 6490, a platform Iterate.ai has built on specifically to bring inference to the edge without sacrificing governance or control.

    Three live demos illustrate the range: AI guiding workers through equipment diagnostics inside an underground mine with zero connectivity; voice-driven ordering at a restaurant counter that keeps processing transactions even when the network drops; and real-time device diagnostics that detect, diagnose, and walk through fixes on-site — no help desk call required.
    Speaker: 
    Blake Stenstrom — AI Engineer, Iterate.ai · Princeton-Trained Algorithms Expert

    1:05 — 1:10pm

    Act 3:
    What Governable AI Actually Looks Like

    Super Agents: The General Contractor Model for AI at Scale
    A single AI agent can answer a question, draft a document, or monitor a system. That's useful. But the most powerful AI deployments don't rely on one agent working alone — they use a Super Agent: a coordinating intelligence that breaks complex goals into specialized tasks and spins out sub-agents to execute them in parallel.

    Think of it like a general contractor. The GC doesn't do the plumbing, the electrical, and the framing — they direct the specialists who do. A Super Agent works the same way: it receives a high-level objective, decomposes it, dispatches the right agents, monitors their output, and synthesizes the result.

    Brian will use Generate to spin one out live on stage — so you can see exactly what orchestration looks like in motion.
    Speaker: 
    Brian Sathianathan — Co-Founder & Chief Technology & AI Officer, Iterate.ai · Former Engineering Leader, Apple (Secret Products)

    1:10 — 1:20pm

    Act 3:
    What Governable AI Actually Looks Like

    Securing the Agentic Future: An Introduction to Lifeboat Runtime and Security Capsules
    As AI agents become more autonomous, the risk of catastrophic security breaches with a wide blast radius grows exponentially. Standard containerization is not enough to protect against sophisticated agent-to-agent compromises.

    This session introduces Iterate.ai's security-first approach to AI infrastructure, centered on its proprietary Lifeboat inference server. Brian details Security Capsule technology, which isolates every AI session in a dedicated, secure boundary — containing breaches without any performance sacrifice. He also covers how the runtime handles token cost controls and KV cache management, keeping agentic workloads efficient and economical at scale.

    This infrastructure runs in Equinix — setting up exactly the architecture Kal will address next.
    Speaker: 
    Brian Sathianathan — Co-Founder & Chief Technology & AI Officer, Iterate.ai · Former Engineering Leader, Apple (Secret Products)

    1:20 — 1:30pm

    Act 3:
    What Governable AI Actually Looks Like

    The Distributed AI Hub: Designing the Future of Inference, Sovereignty, and Scale
    As AI moves from centralized training to distributed, real-time inference, the architecture of enterprise AI is fundamentally changing. This session introduces the Distributed AI Hub framework — a blueprint for orchestrating metro-edge inference, sovereign AI deployments, multi-cloud data flows, and emerging requirements like KV cache optimization and agentic workflows — all underpinned by private, secure interconnection. We'll share practical design patterns and recommendations that leading enterprises are adopting today to build low-latency, compliant, and scalable AI systems that will define the industry standard moving forward.
    Speaker: 
    Kaladhar Voruganti — VP & Senior Technologist, AI, Equinix

    1:30 — 1:40pm

    Act 3:
    What Governable AI Actually Looks Like

    When Algorithms Decide How Healthcare Providers Get Paid — Who Wins?
    Every year, billions of dollars in healthcare are decided by systems most people never see. Increasingly, those decisions aren’t made by humans; they’re made by AI. Payers are already using AI at scale to deny claims, downgrade severity, and optimize what gets paid. While hospitals are still trying to respond, this imbalance doesn’t just affect providers. It quietly shapes the economics of the entire system—impacting costs, employers, and ultimately everyone who relies on healthcare.For the first time, that dynamic is starting to shift. Hospitals now have access to the same underlying data and the ability to apply AI to uncover what was previously invisible: patterns in underpayments, denials, and payer behavior happening at scale. This session explores how health systems are moving from reactive appeals to proactive intelligence, and what happens when both sides of a multi-billion-dollar system are powered by AI. When decisions move from people to algorithms, the question isn’t just what happens—it’s who has the advantage.

    Takeaways:
    - How AI is already influencing billions in healthcare payments behind the scenes.
    - Why asymmetry in AI capabilities creates real financial consequences.
    - How hospitals can use their own data (837/835) to uncover hidden revenue loss.
    - What it means to shift from reacting to payer decisions to anticipating them.
    Speakers: 
    F.X. Campion, M.D. FACP — Clinical Informaticist, Atrius Health, Clinical Instructor, Harvard Medical School
    Jeff Wennberg — Co-Founder and Chief Product Officer, Healthcare Financial Data Science

    1:40 — 1:50pm

    Act 3:
    What Governable AI Actually Looks Like

    Decades of Dark Data, Finally Useful: Mass Storage AI That Doesn't Break Governance
    Most enterprises are sitting on decades of accumulated data — contracts, clinical records, financial documents, compliance archives — that has been completely inaccessible to the organization that owns it. Not misplaced. Not lost. Stored, paid for, and invisible. IBM and Deloitte both put the figure at roughly 90% of enterprise data falling into this category — unstructured, unanalyzed, and until now, unreachable. NetApp's intelligent storage platform changes that. At approximately $200,000, it brings a generative AI interface directly to on-premises mass storage — purpose-built for hospitals, financial services firms, and SLED organizations where data sovereignty and compliance are non-negotiable. This demo shows what it looks like when an enterprise finally turns its dark data into a working asset: private, governed, auditable, and without a single byte leaving the building.
    Speakers: 
    Andy Sayare — Senior Director Global Alliances for AI, NetApp. Former start-up co-founder, Product Marketer, and Marketing VP

    1:50 — 2:00pm

    Act 3:
    What Governable AI Actually Looks Like

    Document AI That Works Where the Internet Can't Go
    Most document AI fails the moment it meets the enterprise. Contracts, compliance documents, clinical records, and classified files don't belong in a public model — and in many industries, sending them there isn't just a bad idea, it's a regulatory violation. Private AI is the answer, but most implementations get it wrong: slow retrieval, poor accuracy, no audit trail, and architectures that quietly phone home when no one is watching. This demo shows what actually works — intelligent data routing that keeps sensitive documents inside the perimeter, accurate extraction and summarization without cloud dependency, and governance built into every step of the pipeline. The use cases span regulated industries where air-gapped deployment isn't optional: legal, clinical, financial, and government environments where the data never leaves the building and the system still has to perform.
    Speaker: 
    David Richard — Director, Digital Strategy & AI Automation, Terralogic · Specialist in Regulated Data and Private AI Deployments

    2:00 — 2:10pm

    Act 3:
    What Governable AI Actually Looks Like

    Generate in Action: Supporting Faster, Smarter Insurance Investigations in Brazil
    A practical look at how AI can help insurers and mutual protection organizations streamline claims investigations, reduce fraud risk, and improve operational speed. Based on a Brazil insurance investigation use case, this session will show how Generate can support teams by accelerating evidence review, organizing case information, and helping investigators move from fragmented manual processes to a more intelligent, transparent workflow.
    Speaker: 
    Miguel Stief — Dominant Success, Global CEO, Executive Advisor, and Transformation Leader

    2:10 — 2:20pm

    Break

    2:20 — 2:30pm

    Act 3:
    What Governable AI Actually Looks Like

    The AI PC: Intelligence That Stays With You
    A new category of computing is emerging—and it doesn’t live in the cloud. AI PCs powered by AMD Ryzen™ AI processors bring intelligence directly onto the device, combining CPU, GPU, and a dedicated NPU to run AI workloads locally, instantly, and privately. These machines don’t just respond—they anticipate, learning from your behavior, accelerating tasks before you ask, and organizing information in real time. For enterprises and creators alike, this means faster performance, zero latency, and something even more important: control. Your data stays on your machine. Your workflows run without dependency on external servers. And with platforms like Iterate.ai’s Generate, these devices become fully operational AI hubs—capable of running agentic workflows, analyzing documents, and automating business processes entirely offline. In a world racing toward cloud AI, AMD is making a different bet: that the most powerful AI may be the one that never leaves your device.
    Speaker: 
    Rakesh Anigundi — ​​Director of Product, Ryzen AI Product Lead, AMD

    2:30 — 2:40pm

    Act 3:
    What Governable AI Actually Looks Like

    OpenAI Wants To Own The Retail Checkout; Here’s How
    OpenAI and Google (Gemini) are moving to own the entire commerce loop—from discovery to decision to checkout—and that changes everything.
    ‍
    The moment a purchase happens inside the AI, the platform doesn’t just facilitate a transaction; it captures intent, behavior, and begins to build memory—an evolving record of preferences, habits, and past purchases that compounds over time.
    ‍
    Concepts like UCP/ACP are emerging as shorthand for this new model, where agents don’t just recommend products—they remember what you like, anticipate what you need, and increasingly act on your behalf, often without ever sending you to a brand’s website. That’s a profound shift.
    ‍
    For years, brands fought to escape intermediaries—retailers, marketplaces, search engines—to build direct relationships with customers. Now, the intermediary is becoming the interface itself. If the AI remembers your preferences, makes your decisions, and completes your purchases, it starts to look a lot like the brand. And if that’s true, the real battle isn’t for shelf space or ad placement—it’s for control of the checkout, because whoever owns that moment may own the customer.
    Speaker: 
    Michelle Pacynski — former VP of Innovation, Ulta Beauty

    2:40 — 2:45pm

    Act 3:
    What Governable AI Actually Looks Like

    If OpenAI Remembers Every Shopper—and Owns Checkout—Who Owns the Customer?
    The demo you just saw isn’t theoretical—it works. The protocols are real. Checkout inside ChatGPT is already happening, and Michelle will show how surprisingly easy it is to set up.
    ‍
    But before every brand rushes to plug in, there’s a harder question—one without a clean answer: if ChatGPT closes the sale, who owns the customer? Not the transaction—the relationship. The data. The memory of every interaction, every preference, every purchase—and the ability to act on it.
    ‍
    For decades, brands have fought to get closer to their customers, moving from department stores to DTC, from wholesalers to owned channels. Amazon reshaped that dynamic, giving brands access while quietly watching what worked—and then building its own competing products, sometimes nearly identical, like eBags packing cubes.
    ‍
    Agentic commerce may be an even bigger shift. When the interface becomes AI, the brand risks becoming invisible, while the platform owns discovery, decision, and retention—and now, memory. And memory compounds. It gets smarter with every interaction, making the AI more valuable to the consumer than any single brand.
    ‍
    Tim has lived this from the brand side at Jockey. This isn’t a solution—it’s a provocation. Because the brands asking this question now may be the only ones who still have a relationship left to protect.
    Speaker: 
    Tim McCue — SVP Global Operations, Jockey International

    2:45 — 2:55pm

    Act 3:
    What Governable AI Actually Looks Like

    A Semi-Autonomous Social Engagement Engine That Stays Governed and Retains Your Brand Voice at Scale
    What happens when brand engagement becomes semi-autonomous — but still brand-safe, measurable, and governed? This demo showcases the AI-driven engagement engine built for large brands, designed to monitor, respond, and amplify engagement across TikTok, Instagram, and Facebook in real time. Unlike simple chatbots or auto-replies, this system ingests high-velocity social signals, understands context and brand voice, generates compliant responses, escalates when human intervention is required, and tracks performance and sentiment impact end to end. This is not AI posting randomly. It is instrumented, observable, constrained engagement at scale — and a live example of what governed autonomy looks like in a consumer-facing environment.
    Speaker: 
    Magnus Tagtstrom — Corporate VP, Iterate.ai · Former Global VP of Innovation, Circle K - Couche-Tard (16,000 stores)

    2:55pm — 3:05pm

    Act 3:
    What Governable AI Actually Looks Like

    AI in a Community Hub: Serving People Who Don't Have Enterprise IT Departments
    Every demo today has shown AI working inside well-resourced organizations — hospitals, retailers, security firms, global data centers. This one is different. Community hubs serve people who need help navigating benefits, housing, employment, and services — and they do it with thin budgets, volunteer staff, and no dedicated IT infrastructure. This demo shows what responsible AI deployment looks like when the user isn't a knowledge worker with a corporate laptop — it's a parent trying to find childcare, a veteran navigating benefits, or a senior who needs help understanding a medical bill. The governance requirements here are the most human of any demo in this act: no data leaves the community, no decision is made without a human in the loop, and the system has to work for people who didn't choose to interact with AI. Randy shows what that looks like when you get it right.
    Speaker: 
    Randy Kohn — President, Adventure Mind

    Act 4:
    What Can't Wait

    Theme: The choices that have no later.
    Takeaway: The architecture you choose now is the system you'll live with in 2027.

    3:05pm — 3:25pm

    Act 4:
    What Can't wait

    The Decisions Enterprises Can't Defer: What 2026 Choices Look Like in 2027
    This is not a summary. The day has already made the case. This is the moment where six people who have spent their careers making consequential decisions at scale tell you what they are taking out of this room — and what they think you should do before you leave.Each presenter shares their five takeaways and why they matter. Not talking points. Not consensus. The unfiltered view of executives who have lived the consequences of getting technology strategy wrong — and right
    Speakers: 
    Frank Kollmar — Former Global Deputy Managing Director, L'Oréal Dermatological Beauty Division · Former President & CEO, L'Oréal Canada

    Chris Smith — EVP International & Chief Customer Officer, Jockey International
    ‍
    Hans Peter Brondmo —     former CEO, Everyday Robots, Google X, Start-up Advisor, Visiting Committee Member, MIT Media Lab
    ‍
    Lynda Pak — Former SVP Technology, Estée Lauder

    Diane Randolph — Board Director, Dollar Tree (NASDAQ: DLTR) · Board Director, Shoe Carnival (NASDAQ: SCVL) · Former CIO, Ulta Beauty

    ‍Sibito Morley — Co-Founder and President, Veromesh.ai · Former Chief Data Officer, Sinch (~1T of Western-world mobile message traffic flows through this network) · Former CTO, Lumen, Century Link, Davita

    3:25pm — 3:30pm

    Closing

    Thank You – Open Floor: Questions, Challenges, Comments
    SPeaker: 
    Jon Nordmark — CEO & Co-Founder, Iterate.ai · Co-Founder & Former CEO, eBags.com

    3:30pm — 5:00pm

    Cocktails & Networking

    Jill's Restaurant & Bistro Bar  ·  St. Julien Hotel & Spa

    "Every company is going to become an AI company. It’s not a question of if, it’s a question of how quickly."

    — Thomas Kurian, CEO of Google Cloud

    AI Symposium III, Boulder CO

    Spring 2026 Participants

    See Participants

    Accolades from Attendees

    Collette Tauscher
    Technology & Supply Chain Strategy Leader I Starbucks I Columbia Sportswear I Nike
    Reflecting on an inspiring week at the IterateOn AI Symposium in Boulder.

    The intersection of AI and quantum computing isn't just theoretical anymore—it's happening now, and the pace is remarkable. What struck me most wasn't just the technology itself, but the caliber of minds working to shape its application.

    We're entering an era where the tools we use to understand our world—how we map complex systems, manage operations, and measure outcomes—will fundamentally change. The leaders and builders I met this week are at the forefront of that transformation.

    Grateful to the IterateOn team for creating space for these critical conversations.
    Karla Arzola
    CIO | Board Member | Strategist | Campbell County Health | HCA HealthOne | Swedish Medical Center
    Reflections from the IterateOn Cross-Industry AI Symposium

    Last week’s AI Symposium hosted by Iterate.ai brought together some of the sharpest minds driving real transformation with artificial intelligence, not just talking about it, but building and deploying it.

    From healthcare to retail, manufacturing, and finance, one thing was clear: AI isn’t a future concept anymore, it’s an operational necessity.
    Top takeaways that hit home for me:
    • AI wins are now measured in ROI, not prototypes. The best case studies showed measurable cost reduction and productivity gains — and in healthcare, that translates directly to better patient outcomes.
    • Cross-industry learning is where the real breakthroughs happen. Seeing how other sectors use AI to optimize operations, predict issues, and automate complexity gave me new ideas for healthcare applications.
    • Governance and ethics are rising to the top of the AI maturity curve. The “move fast and break things” phase is over. We’re entering the “move smart and scale responsibly” era.
    • A personal highlight? The demo on how AI agents helped uncover $14M in lost revenue in healthcare , a reminder that innovation and financial stewardship can (and should) go hand in hand.
    Huge thanks to the Iterate.ai team for creating a no-fluff, high-value experience that focused on what’s real and working now!
    Rory Reichelt
    ISV Partnerships & Enterprise AI GTM | 2025 CRN People to Know Recipient | Intel
    This is the kind of AI event we need more of...real conversations, real tech, no fluff. Love seeing the full GenAI stack come together to talk strategy and execution.
    Vish Panchal
    GTM, AI Appliances | ASA Computers
    I got to see firsthand how AI is shifting from experimentation to execution.

    The message to takeaway was AI is already solving real problems, from food insecurity to healthcare to creativity, but privacy and trust are key without them, innovation can’t grow.

    The best companies are those moving fast, testing often, and learning every day.

    Iterate brought together brilliant minds from Ulta Beauty, Adobe, Intel, Oracle, IBM, Dell, and many more, plus a State Senator, a Harvard professor, and AI model creators across industries to prove it.

    We watched secure, on-prem AI can transform document retrieval and enterprise workflows.

    From privacy-first infrastructures to agentic AI, every discussion reinforced one thing. Grateful to be part of such an inspiring event.
    Robert Wamsley Ph.D.
    Researcher | Leader | Quantum Rings
    Yesterday, Quantum Rings was honored to speak at the IterateOn AI Conference in Boulder, CO—a leading event uniting top enterprise AI leaders nationwide.

    Our team joined the "Quantum + AI: A Field Trip Into the Future" session at the Colorado Quantum Incubator. The session featured insightful talks from our own Bob Wold and Robert Wamsley, alongside our friends Eva Yao (CEO of FLARI Tech), Scott Sternberg (Executive Director of CuBits + Colorado Quantum Incubator), Wendy Lea (Board, Elevate Quantum), and Colorado state senator Mark Baisley.

    The convergence of quantum computing and AI holds transformative potential. We’re thrilled to see some of the top leaders from the AI space looking for ways to drive innovation together.
    Gurpreit Juneja
    VP | CAIO | AI | Digital Transformation | Data Science | Visa |  STACK Infrastructure 
    If AI were a power plant, IterateOn was the switchyard—high voltage, grounded lines, real load.

    The number that stopped the room? $14M. Found by ONE revenue agent.
    𝗧𝗛𝗘 $𝟭𝟰𝗠 𝗦𝗧𝗢𝗥𝗬
    One revenue-integrity agent.
    $14M in quiet leakage found.
    No fanfare. Just math.

    This is what happens when we stop building chatbots and start building systems that DO.

    IterateOn—you built a builder's room, way to go!
    Luis Duarte
    Co-founder & CEO | Amoofy
    Deeply inspired by the conversations at IterateON 2025.

    A heartfelt thank you to  the entire Iterate.ai team for hosting such a forward-thinking and generous gathering — a space where innovation, future-now efforts, and technology met.

    I was struck by how often the topic of human stories surfaced throughout the sessions — a powerful reminder that even as AI, data, and automation evolve, the heartbeat of progress remains our ability to listen, connect, and make meaning together.

    Special gratitude to Jonathan Greechan from Founder Institute for the insights and for always creating bridges that connect founders driven by both intellect and empathy.

    And a big shoutout to Chris Byrne, former IP lawyer and venture partner at Samsung, who beautifully articulated that “the one thing that hasn’t changed in over 300,000 years is how humans codify information — in a story.”
    Ganesh Harinath
    Former Vice President & CTO @ Verizon Media | Founder & CEO at Fiducia
    𝗧𝗵𝗲 𝗶𝗻𝘃𝗶𝘁𝗲-𝗼𝗻𝗹𝘆 𝗜𝘁𝗲𝗿𝗮𝘁𝗲𝗢𝗻 𝗦𝘆𝗺𝗽𝗼𝘀𝗶𝘂𝗺 𝗶𝗻 𝗕𝗼𝘂𝗹𝗱𝗲𝗿, 𝗖𝗼𝗹𝗼𝗿𝗮𝗱𝗼 𝘄𝗮𝘀 𝗼𝘂𝘁𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 — 𝗲𝗻𝘁𝗶𝗿𝗲𝗹𝘆 𝗳𝗼𝗰𝘂𝘀𝗲𝗱 𝗼𝗻 𝗿𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝗔𝗜 𝘂𝘀𝗲 𝗰𝗮𝘀𝗲𝘀.

    It was a wonderful opportunity to make new friends and connections, bringing together a diverse community of leaders and offering a clear view into how the next generation of intelligent and immersive experiences is rapidly taking shape....
    Exceptional event.

    Gallery

    Explore our collection of behind-the-scenes snapshots.

    Ampere Computing, Enzer AI, Inception Labs, SymbolicMind, Lazarus AI

    Amazon, Iterate, L’Oreal,  Campbell County Health

    Limited to 200 participants

    Envision Healthcare

    Istonish and Quantum Rings

    Iterate and CBRE

    Lazarus AI, Enzra AI, Ampere

    ex Visa, Campbell County Health, Iterate, Amazon

    L’Oreal, Amazon

    Connections across industries

    68-page AI explainer

    St. Julien Hotel & Spa

    The Spring 2026 AI Symposium will be held at the St. Julien Hotel & Spa, Boulder’s premier destination for luxury, location, and local charm. Make the most of your experience by staying on-site.

    Boulder is one of the most startup-dense cities in the U.S. on a per-capita basis and is home to Techstars, one of the world’s most influential startup accelerators. It is also a global center for quantum computing, with companies like Quantinuum and Atom Computing headquartered here—both identified by DARPA as two of the nine most strategically important quantum companies in the world. Anchored by CU Boulder, NIST, and a deeply collaborative innovation culture, Boulder sits at the intersection of frontier science and company creation.

    Unbeatable Location: Nature + Culture at Your Door

    St Julien sits at the crossroads of everything Boulder. In addition to Pearl Street, you’ll find:

    • Boulder Creek Path and hiking trails just across the street
    • Stunning views of the Flatiron Mountains from many rooms
    • Complimentary cruiser bikes to explore the city like a local

    Nationally Recognized for Excellence

    St Julien Hotel & Spa is one of Colorado’s most celebrated hotels, earning awards that place it in elite company:

    • Forbes Four-Star Award Winner — a distinction held by fewer than 15% of hotels evaluated worldwide
    • AAA Four Diamond Rating — awarded to just 6% of hotels assessed by AAA across North America
    • Frequently featured in Travel + Leisure, Condé Nast Traveler, and U.S. News & World Report as a top Colorado destination

    St Julien Hotel & Spa
    900 Walnut St. Boulder, CO. 80302

    See Hotel

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