Eén keynote, drie parallelle break-outzalen en een full-day workshop — ontmoet de sprekers →
Onderwerppagina's: Azure · Microsoft Fabric · AI Foundry · API Management · AI agents · Platform engineering · Governance · Security · Identity · Infrastructure as Code · Sustainability
In many organizations the obvious settings are never evaluated or checked — and that creates avoidable security exposure. A visual, #BulletPointFree run-through of twelve checks every admin should do to make sure the basics are actually covered. Applies to Entra ID as well as Microsoft 365.
copilot-instructions.md, AGENTS.md, SKILL.md, prompt files — they all tell the agent how to behave. So why does one get followed immediately while another disappears into the void? A practical mental model for how AI instruction files are actually loaded and applied — and how to spot guidance that is being ignored versus never loaded.
Managing Azure Policy through the portal becomes a hassle once your tenant reaches a certain size — and with new AI services landing almost every month, good governance is key. A level-400 walk-through of Enterprise Policy as Code: desired-state strategy, managing policies, policy sets and assignments, and policy documentation as code.
Most engineers default to cloud AI without questioning the cost, the privacy trade-offs, or the dependency it creates — and the token bill grows with usage. How one freelancer moved an AI-assisted development workflow from 100% cloud to 90% local: the hardware, the models that actually perform, the honest downsides, and where cloud still wins.
A build-and-break story from production: 32 specialized AI agents assess a live Azure estate against the Well-Architected Framework — and the hardest part was never the prompt. Watch the system produce a plausible finding that is wrong, then catch its own hallucination live. Three reusable patterns for agent output you can actually trust.
Every Microsoft Fabric implementation starts the same way: someone clicks "New Workspace". That works for one. But what about 50? 200? With DEV, ACC and PROD for each? How Fabric became a fully automated, enterprise-ready platform using Terraform — a workspace vending solution where one definition provisions everything a production-ready environment needs.
AI agent memory sounds complicated until you realize there is already a perfect example of it: your own brain. Each type and technique of agent memory matched to the part of the brain it mirrors — then shown at work in a real agentic system in production: how it decides what to remember, how it recalls the right thing at the right moment, and how it forgets the rest.
For years hub-and-spoke has been the familiar backbone of cloud network design — predictable, centralized, and increasingly limiting. As organizations accelerate and embrace Zero Trust, the old patterns show their cracks. Why the future belongs to mesh-based architectures: decentralized, identity-driven, policy-enforced, and built for the scale of modern cloud.
Building one AI agent is easy; engineering a platform for thousands is another story. Which department is burning the most tokens? Does every agent in production follow your safety guidelines? A reference architecture for a centrally governed AI platform on Azure — token rate limiting, semantic caching and security through API Management and Microsoft Foundry, agent identity in Entra ID, deployed as a hub-and-spoke landing zone in code.
Security Copilot looks impressive, but the price tag might not be. Build your own AI assistant for Microsoft Intune using Azure services and Microsoft Foundry — one that understands your Intune environment and gives actionable advice on configurations, conflicts, and compliance issues, without the enterprise price tag.
Every Bicep release ships experimental features you can try — but some innovations are not in an official release at all. They sit behind a feature flag, or quietly wait to be merged from a pull request. A guided tour of what has not landed yet: installing the nightly CLI, running the new syntax improvements, and the behind-the-scenes work that changes how you write Bicep. Not for production.
Everyone uses AI to improve their organization, but without care you drain your budget, increase energy usage, or create risks you never intended. Do you keep a leash on your AI? Practical governance and sustainability for your AI landscape with Azure API Management and Azure AI Foundry: content filtering, token-aware throttling, and caching.
Healthcare has to do more with the same number of people. At Omring, AI is not an experiment but part of the digital strategy. A look under the hood of their AI platform: Microsoft Fabric, Lakehouse, PySpark notebooks, Azure AI Foundry and LLMs combined into working solutions — plus the architecture choices and lessons from idea to production.
Nog geen sessies met dit onderwerp.
Alle break-outplekken zijn gevuld: dertien sessies in drie zalen, één keynote en een full-day workshop. Nu alleen nog komen.
