AI Con USA 2026 - AI Governance, Regulation, & Compliance
Sunday, June 7
Fundamentals of AI—ICAgile Certification (ICP-FAI)
Monday, June 8
AI Governance as Code: An Introduction to AIGovOps
NewAI governance is no longer optional. Like privacy and security before it, governance is quickly becoming a production requirement, enforced through regulation, audits, and fines—often after real harm has already occurred. Ken Johnston and Bob Rapp, founders of the AiGovOps Foundation, introduce AIGovOps: the practice of implementing AI Governance as Code, embedded directly into delivery pipelines and operational workflows. This hands-on session begins with a concise review of Responsible AI and the NIST AI Risk Management Framework, followed by an interactive HARMS workshop using real AI...
Wednesday, June 10
Architecting the Digital Work System: The Shift to Multi-Agent Enterprise Workflows
The era of single-turn AI prompting is over, giving way to the sophisticated "digital assembly line." This session guides technical leaders, CTOs, and AI product managers through the critical leap from isolated AI tools to coordinated, multi-agent constellations capable of autonomously executing complex enterprise workflows. Marshall will dissect the four levels of agentic evolution, focusing on today's epicenter of innovation: cross-system orchestration. Because the risk of cumulative failure multiplies with every automated handoff, he will unpack the architectural strategies required to...
Governance for Fast-Moving AI: Securing Emerging Vulnerabilities
Imagine starting your workday to find all your company’s sensitive data has been leaked due to a nearly imperceptible hack embedded in an AI prompt. The culprit isn’t the AI model but rather a lack of protections surrounding it. When rapidly adopting AI at scale, many organizations unintentionally ignore a crucial element: security and governance. Often, companies will only add operational AI rules post-deployment. However, this approach creates hidden blind spots and slows security teams’ responses when threats inevitably appear. In this presentation, Mark Toler will reveal why AI...
Agentic AI at the Edge: Building Mobile AI Agents for Automotive & MedTech
Shipping AI into regulated, safety-critical mobile apps is more than “just call an LLM.” In automotive and medical contexts, we must meet strict privacy, latency, and auditability requirements while working with flaky connectivity and device constraints. In this talk, Ronak will share a field-tested architecture for agentic AI on the edge: a hybrid edge–cloud agent that uses tool-calling plugins, a policy engine for pre/post-prompt guardrails, offline fallbacks, and structured telemetry for audits. He will walk through how his team bounds agent behavior with capability cards, redacts PHI/...
Unlock Exponential Productivity: The AI Maturity Model for Product Engineering
Are you ready to transform your productivity from incremental gains to exponential growth? Whether you're an individual contributor or engineering leader, this session introduces the AI Maturity Model, a proven framework that guides technical teams through five distinct levels of AI adoption—from 33% productivity boosts to an extraordinary 1000% increase. Discover how to navigate each stage: Level 1 (Foundation, 33%) builds essential AI awareness; Level 2 (Literacy, 75%) develops practical AI skills; Level 3 (Fluency, 300%) masters AI-assisted workflows; Level 4 (Agents, 500%) implements...
Energy-Efficient AI: Building Sustainable Data Pipelines for the Future
Artificial Intelligence is driving innovation across industries, but its growing energy demands pose critical challenges around cost, scalability, and sustainability. In this talk, Bhanu will share practical strategies for designing energy-efficient AI systems, focusing on: dynamic batching & KV caching for reducing inference overhead, sparse neural networks & structured pruning for lightweight models, carbon-aware scheduling to align compute with renewable energy, federated learning & edge deployments to reduce data transfer energy, and a sustainability maturity model for...
Why Your Agentic PR Never Gets Approved—Going from Vibe Coding to Agentic Engineering
You can write 100% of your code with AI, and only be 15% more productive. Want to know why? Solving the problem of moving faster as an engineer is about way more than code. You design, you problem solve, you discuss and communicate, you test, you shepherd the PR through review, you deploy, and you observe. So why are you being told you should be 10x faster now that AI can write code? David will discuss practical solutions for safely accelerating your entire workflow with AI. He will look at how to collaborate with PM, how to use AI planning, how to ensure validations are solid and builds...
Thursday, June 11
Speed Without Fear: Controlling AI-Driven Releases
Learn how to move faster and safer with your AI projects. Whether you are using AI to help create applications with Github Co-pilot, Cursor, one of the other expanding code generation AI tools, or you are developing agents and utilizing various LLMs to support them, using feature flags can provide the ability to test multiple variations in production while providing a safety net that allows you to quickly resolve issues in production. AI is moving fast and the number of options available to you is increasing daily. Join the session to learn how you can validate and experiment with various...
Roll for Alignment: Building Responsible AI Systems Without Losing Your Humanity
Borrowing from tabletop games, this session transforms AI leadership into a live-action adventure. Each team faces challenges drawn from real-world case studies: biased data, budget cuts, regulatory chaos, and “move-fast” culture. Every choice (and dice roll) reveals how easily good intentions can drift into poor outcomes. You’ll leave understanding why alignment isn’t a compliance checkbox, it’s a continuous act of human judgment. Key takeaways include: experience on how small trade-offs create large ethical ripple effects, applying alignment frameworks that balance business speed with...
Evals Are a Team Sport: Building Scalable Evaluation Pipelines for Trustworthy AI
Modern AI systems fail not only because of flawed models but because evaluation is often treated as a one-time task rather than an ongoing discipline. This session addresses the challenge of scaling evaluation across teams and pipelines to ensure model reliability, fairness, and performance. Drawing from real-world experience in large-scale financial analytics, Anusha Dwivedula will examine how product and data teams can collaborate to design a continuous evaluation framework that integrates precision, recall, and drift metrics with observability, lineage, and quality controls. She will...