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Merge pull request #15830 from mihai-satmarean/event/2026-sibiu
[Sibiu-2026] Added speakers, updated program.
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Talk_date = ""
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Title = "DevOps is no joke: promising failure cases"
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Type = "talk"
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Speakers = ["amorim-marcela"]
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Everyone likes to boast about their victories. But it's the mistakes that truly reveal where we're failing—and where we can grow. This talk is about the behind-the-scenes events that no one acknowledges on stage: when haste, vanity, or a false sense of control end up costing us dearly.
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Title = "How to make good decisions in AI transformation - considering tech, finance, change and ethics"
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Type = "talk"
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Speakers = ["apitzsch-wiebke"]
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Most AI projects don’t fail in production because of bad code. You guys can code.
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They fail because the wrong decisions were made long before the first line was written.
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In this talk, Wiebke Apitzsch—Managing Director of AI.IMPACT with a background in strategy, AI implementation, and ethics—takes a DevOps lens on AI transformation. She argues that many teams are asked to productionize use cases that should never have been built in the first place.
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Instead of focusing on tools, models, or frameworks, she introduces a practical decision-making approach that integrates four dimensions developers deal with every day—often implicitly:
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Tech reality – What actually works beyond the demo?
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Economic viability – What justifies the infra, latency, and maintenance cost?
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Adoption & change – Will anyone trust, use, or integrate this into workflows?
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Ethical impact – What are we automating—and at whose expense?
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Using real-world patterns from AI projects, she shows how “category errors with budget” emerge—and why DevOps teams are often the ones left operationalizing flawed assumptions.
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The session provides a clear mental model to push back, ask better questions upstream, and turn AI from a fragile experiment into something that can actually survive production.
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Because in the end, scalable AI is not a tooling problem.
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It’s a decision problem.
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Talk_date = ""
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Title = "Powerpoint Karaoke"
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Type = "talk"
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Speakers = ["mihu-raluca"]
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Talk_date = ""
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Title = "Future-proof your workflow"
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Type = "talk"
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Speakers = ["parad-dorota"]
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AI is breaking our traditional workflows. We can implement new features way faster. We can generate a lot more code. We can release more bugs than ever before. We have ways to delete our production database that we haven’t imagined possible.
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Some of us react to this by rejecting or minimizing AI usage. Some of us learn to embrace the chaos.
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Over the years, I’ve built multiple software teams operating in very different environments. What made them all effective, despite varying challenges, was a set of core practices that apply no matter what or when. These are the things that let us survive and thrive in the AI revolution.
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In this talk, I’ll share tips on how to make your workflow future-proof, so that your team can be effective with both the help and despite of new inventions. I will show how to:
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* Recognize non-negotiable parts of your workflow
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* Make adjustments to accommodate increased speed
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* Cultivate skills that are good forever
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* Distinguish real value from hype
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* Know when to embrace and when to reject a piece of technology
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Talk_date = ""
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Title = "Participant Powerpoint Karaoke"
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Type = "talk"
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Participant Powerpoint Karaoke

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