AI is Now Everyone's Problem - Act Like It!
AI Stage
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30 minutes
Artificial Intelligence
Generative AI
There was a time when "AI in the enterprise" meant a data science team, a Jupyter notebook, and a model that ran once a day in a corner of your data warehouse. Controlled, Contained, rarely customer-facing. That era is over.
GenAI didn't just raise the ambition for what AI can do, it changed who is responsible for delivering it. Enterprise developers are now building AI-native applications that are end-user facing, always-on, and deeply integrated with business-critical workflows. We went from deterministic logic to probabilistic models, from scripts to autonomous agents, and "it works in the sandbox" is no longer good enough.Data scientists haven't disappeared — but their role has evolved. Fine-tuning models, curating training data, and evaluating quality are more critical than ever. The difference is that their work now feeds directly into production systems built and operated by enterprise developers. Two disciplines, one pipeline, and the handoff between them needs to be seamless.This keynote tackles the hard questions that come with AI growing up: How do you move from prototype to production without losing control? How do you build with confidence while keeping security, compliance, and governance intact? And how do you bridge the gap between experimentation and enterprise scale?If your team is done experimenting and ready to ship, this talk is for you.
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Timo Salm