10:00 to
10:10
04 Nov 2026
Opening Speech
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Vlad Valentin
Mentor & Project Development Lead
at
IT School
10:15 to
11:00
04 Nov 2026
Human-in-the-Loop Is You: A Guide to Working With Multiple Coding Agents
""Human-in-the-loop"" is supposed to mean a person makes the judgment calls a model can't.
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Oleksandra Bovkun
Sr. Developer Advocate
at
Databricks
12:30 to
13:00
04 Nov 2026
The GPU Orchestration Playbook: AI Inference at Scale
As AI workloads scale, serving large models reliably and efficiently has become a central challenge for engineering teams. In this session, we explore patterns and best practices for running high-performance AI inference on Kubernetes.
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Alex König
Senior Solutions Architect
at
AWS
14:00 to
14:45
04 Nov 2026
AI Is Not Failing at the Model. It's Failing at the Decision Layer.
Individual employees are ~80% more productive with AI — yet only 37% of organizations see any measurable financial benefit from it.
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Radu Stefan
AI Business Consultant
at
Avaelgo
15:25 to
16:10
04 Nov 2026
It’s Not Vibe Coding If You Know What You’re Doing
We’ve all heard stories about how people are using AI to create entire software projects, and in every case, I had nothing but skepticism and doubt.
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Jeff Blankenburg
Principal Developer Advocate
at
Dynatrace