ITQonnect Days & ITQon! 2026

This keynote explores the rapid evolution of the AI agent ecosystem. It details the shift toward agentic workflows supported by the Model Context Protocol (MCP) and the standardization of reusable agent "Skills." The session emphasizes that as AI agents transition from experimental tools to enterprise-grade assets, there is a critical requirement for robust, secure infrastructure. 
By introducing concepts like OpenClaw and secure sandboxing—specifically leveraging Red Hat OpenShift and Red Hat AI—the session outlines a defense-in-depth strategy for managing autonomous agents at scale, drawing parallels between the current agent revolution and the historical maturation of Linux and container orchestration.

ITQ ran a structured pilot putting Claude into the hands of real teams across sales, marketing, engineering, and the CTO office. This 15-minute session covers what we implemented, the workflows that actually stuck, and the value we created — hours recovered, work made easier, and the case for scaling it. I'll keep it honest: what worked, what didn't, how we handled security and the data boundary, and where we go next with a private AI environment in Phase 2.

AI infrastructure is moving beyond simply hosting models. The next generation of platforms must support complete AI systems: model serving, intelligent routing, shared inference services, agents, tools, memory, and isolated execution environments.
In this session, we take a look behind the curtain at where VMware Private AI Services (PAIS) is heading. We will introduce the new VMware AI Factory initiative, walk through the PAIS Model Runtime 4.0 architecture, and show how its components work together to provide models as a scalable platform service.
We will then expand the view beyond model inference and examine VCF as a platform for agentic workloads. We will look at where agents run, how they consume shared model endpoints, why agents need isolated execution environments, and which infrastructure services are required to support them.
The goal is to connect the individual technologies into one architectural picture and show how VCF, PAIS, and the VMware AI Factory fit together as the foundation for enterprise AI.

See how ITQ uses AI to turn customer conversations into tailored proposals. In this hands-on demo, we walk through our workflow: capturing meeting insights in Notion, using Claude to analyse transcripts, and generating offers that speak directly to what the customer actually said they need, not what we assumed.

In this short talk I'll show a small agent implementation and demystify the word "agent" from a technical angle.

There will be code, but there will also be thorough explanations!

Artificial intelligence (AI) is an intriguing technology. It can create funny videos, help solving day to day problems, support in medical treatments and much more.
But at what cost? How will it change our society? Why does the fossil industry love AI? And - is it worth it?
This talk is not to answer all questions - but it is there to help understand when and why we should rethink using AI.
This session will contain technical terms, facts & figures - although, this session does not require any deep knowledge of AI.

We have seen or been there: an afternoon of vibecoding and you've got an app with an AI feature that actually impresses people. Then the real questions start. Where does the model run, and is it allowed to see that data? How does it reach our tools? Who stops it from saying something embarrassing to a customer? The one-day demo quietly turns into a quarter of platform work — while AI itself moves on weekly.

The ITQ AI Use Case Factory is built for that exact moment: the plumbing (models, tool access, retrieval, guardrails) solved once, on private infrastructure, so an app with Private AI features goes from laptop to production in a day, not a quarter. Internally first, then at our customers.

This talk is for you if you:

• build or vibecode apps and want your AI feature hosted, secured and used by real people — not stuck on your laptop
• sell, and keep hearing "great PoC, but how do we get this into production?"
• lead a team or the business and want a concrete picture of where AI at ITQ is heading

I will open the hood for an honest tour: what's inside, what we dropped, and what we'd build differently.