Den Delimarsky
Lead Maintainer, MCP
Anthropic
Den Delimarsky is a Member of Technical Staff at Anthropic, where he helps build the Model Context Protocol (MCP). He's spent over a decade at the intersection of product management and engineering, building developer tools and platforms.
Conference Sessions
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Keynote: MCP As The Agentic Substrate
5 Oct 2026 • 9:42 AM-9:57 AM
Ballroom East/Center
MCP arrived when connecting data and applications to AI systems required bespoke implementations and a fragmented ecosystem of plugins, desktop applications, and makeshift proxies. Since its release in late 2024, a tectonic shift has occurred, and server by server, client by client, the protocol became the de-facto substrate for agents to access anything – every tool call, resource access, or asynchronous task can now be managed through one standard, with an established collection of cross-platform SDKs, avoiding the need to rebuild everything from scratch for every LLM vendor. In this session, we will examine the driving forces that made it all happen.
Angie Jones
Vice President
AAIF
Angie Jones is the VP of Developer Experience at the Agentic AI Foundation where she guides how agentic systems are designed, implemented, and adopted across the global developer ecosystem. Angie is an award-winning teacher and international keynote speaker who shares her wealth of knowledge at software companies and conferences all over the world. As a Master Inventor, Angie is known for her innovative and out-of-the-box thinking style which has resulted in more than 25 patented inventions in the areas of virtual worlds, collaboration software, social networking, smarter planet, and software development processes.
Conference Sessions
- Keynote: Welcome & Opening Remarks 5 Oct 2026 • 9:30 AM-9:40 AM Ballroom East/Center
- Keynote: Closing Remarks 5 Oct 2026 • 10:16 AM-10:20 AM Ballroom East/Center
- Keynote: Welcome Back 6 Oct 2026 • 9:30 AM-9:40 AM Ballroom East/Center
- Keynote: Closing Remarks 6 Oct 2026 • 10:16 AM-10:20 AM Ballroom East/Center
Michael Forrester
AI Workforce Transformation Lead
Accenture LearnVantage
Michael Rishi Forrester leads the AI workforce transformation stream at Accenture \ LearnVantage, where he advises enterprise leaders and engineering teams on running agentic AI in production. From CTO to IC across operations, AI, cloud and platform engineering, including AWS, ThoughtWorks, Red Hat and Honeywell. His training has reached over a million engineers. His work centers on Agentic Covenants, a governance and security model for agentic AI built on a hard-won lesson: guardrails enforced by the AI tool are bypassable, guardrails enforced by infrastructure are not. He builds MCP servers, runs Claude Code daily, and grounds his sessions in real Kubernetes clusters rather than slideware.
Conference Sessions
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Keynote: Governing MCP for a Workforce the Size of a City
6 Oct 2026 • 9:59 AM-10:14 AM
Ballroom East/Center
"How many users do we need to support on MCP?" "Possibly all of them. Maybe 750,000." That was the start of a conversation about deploying MCP at a scale matching frontier SaaS services. Our demo was amazing — one minute, one agent, one tool, MCP in between. Then came the real engineering. Nobody had really said yes to any of it. There was also nowhere to say no. That exposed us to the world this session covers: a registry as the source of truth for which servers exist, who owns them, and what an agent may discover. A gateway as the single path between agents and tool… identity, authorization, rate limiting, and policy enforced once instead of rebuilt per server. An AI gateway as the governed route to inference. Then the rollout: phased, control plane in GitOps, admission control so an unsanctioned server can't land, runtime detection on the tool-execution surface, and workload identity so the gateway knows which agent is calling. We close on what the gateway caught, what slipped past us, how we handled scale and security, and everything on the road to 200,000 deployed internal users at a single company. We counted. The number was horrifying.
Dana Harrison
Principal Site Reliability Engineer
TELUS
With almost twenty years in the industry and the last four spent with TELUS, Dana has developed a "Jack-of-all-trades" skill set including system administration, software development, DevOps, and now Site Reliability and Observability Engineering. Dana has helped uplift his fellow developers, DevOps engineers, and Site Reliability Engineers with meaningful insights into observability tooling and SRE practices. These days, you’ll find him deep into agentic development and automation.
Conference Sessions
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Keynote: One Year of MCP in the Enterprise: Registry, Workflows, Agents, and Remote Hosting
5 Oct 2026 • 9:59 AM-10:14 AM
Ballroom East/Center
Let us show you what a full enterprise MCP practice looks like end to end, built at TELUS over the past year. The tour: IRIS, an n8n-based AI operations agent exposed as an MCP server — with a Slackbot front end — that routes real operational requests; n8n workflows that call MCP tools to automate the boring parts of running a platform; a shared "ai-dev" registry that catalogs the MCPs most useful across the org, so teams discover and reuse instead of rebuilding the same connector multiple times; and finally remote MCP hosting on Gizmos, our last-mile platform built on Cloudflare Workers — plus the OAuth wall every enterprise slams into. Dynamic Client Registration is the usual answer, and the usual disappointment; we'll cover why we went with Client ID Metadata Documents instead, and the tradeoffs behind that call. No product pitch — reusable patterns for any stack. You'll leave with a map of the whole enterprise MCP stack — registry, workflow automation, agent front ends, remote hosting — the failure modes we hit, and where the spec and tooling are still rough.
Kevin Ng
Staff Developer Advocate
TELUS
Kevin Ng is a Staff Developer Advocate on the Platform Engineering Excellence team at TELUS, where he's worked since 2006. He builds internal AI tooling and platform infrastructure and helps engineering teams adopt agentic workflows in production. He's also a member of the AAIF's Workflows & Process Integration workgroup, focused on turning practitioner experiments into reusable patterns.
Conference Sessions
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Keynote: One Year of MCP in the Enterprise: Registry, Workflows, Agents, and Remote Hosting
5 Oct 2026 • 9:59 AM-10:14 AM
Ballroom East/Center
Let us show you what a full enterprise MCP practice looks like end to end, built at TELUS over the past year. The tour: IRIS, an n8n-based AI operations agent exposed as an MCP server — with a Slackbot front end — that routes real operational requests; n8n workflows that call MCP tools to automate the boring parts of running a platform; a shared "ai-dev" registry that catalogs the MCPs most useful across the org, so teams discover and reuse instead of rebuilding the same connector multiple times; and finally remote MCP hosting on Gizmos, our last-mile platform built on Cloudflare Workers — plus the OAuth wall every enterprise slams into. Dynamic Client Registration is the usual answer, and the usual disappointment; we'll cover why we went with Client ID Metadata Documents instead, and the tradeoffs behind that call. No product pitch — reusable patterns for any stack. You'll leave with a map of the whole enterprise MCP stack — registry, workflow automation, agent front ends, remote hosting — the failure modes we hit, and where the spec and tooling are still rough.
Chris Alexiuk
Senior Product Research Engineer, Deep Learning
NVIDIA
Chris Alexiuk is a deep learning developer advocate at NVIDIA, working on creating technical assets that help developers use the incredible suite of AI tools available at NVIDIA. Chris comes from a machine learning and data science background, and he is obsessed with everything and anything about large language models.
Conference Sessions
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Keynote: Running MCP for Real
6 Oct 2026 • 9:42 AM-9:57 AM
Ballroom East/Center
MCP is part of the beating heart of technology that powers AI-Q and NVIDIA’s broader agent tooling. This session covers the history, evolution, and operational patterns that we’ve found work “in prod”. We’ll cover authorization and tool filtering, multi-user deployments, guardrails, and how the evolving spec has interacted with building dope technology. You’ll leave knowing which patterns we’ve found crush it.
