AxonIQ
AI can draft your first set of events in seconds — but it can’t replace the human alignment that makes projects succeed.
Event modeling brings business and tech together so AI works within the right context.
Martin Dilger explains how to combine speed with shared understanding → https://hubs.li/Q03CJ5Bf0
See Martin @ Oct 1-2: https://hubs.li/Q03CJ4cT0
19/08/2025
What’s killing enterprise AI?
It’s not budgets. It’s not ideas. It’s data readiness.
That’s why Fortune 100s trust AxonIQ’s backbone for secure, event-driven deployment.
📈 Check your ROI: https://hubs.li/Q03Dg_bx0
is where you’ll hear what’s next in our evolution — early-bird ends Sept 3: https://hubs.li/Q03Dh0TJ0
12/08/2025
Most AI failures start with a missing timeline.
If your system can’t trace why something happened, it can’t reason through what comes next.
Event sourcing provides memory. And memory builds trust.
👉 Learn how: https://hubs.li/Q03BgKTm0
We’re shipping AI faster than we’re designing for it.
When modeling breaks down and language loses meaning, teams don’t just slow down—they build the wrong thing, faster.
In this talk, Sebastian Voina-Winter and Alex Wieland of Open200 share what happened when visual modeling and AI support fell short—and how they found a more human-centered way to design complex systems with clarity and context.
If you’re scaling fast, leading through ambiguity, or rethinking architecture for AI—this is for you.
See it live at , Oct 1–2 in Amsterdam: https://hubs.li/Q03BtNn80
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