Sebastian Neubauer
Data scientist forever; Worked everywhere in Blue Yonder, messed with data science, built platforms, now exploring GenAI & AI agents. Known to always ask the question nobody else dared.
Sessions
After nearly 20 years in data science, from MLPs, SVMs, and random forests to deep learning, I’ve seen many “revolutions” come and go. The current tectonic shift around GenAI and LLMs feels different from previous hype cycles. Even with some understanding how these things work, I am still blown away by the stream of stunning new capabilities. But they also introduce new kinds of risks that go far beyond technical performance. This talk offers a pragmatic, experience-driven perspective on GenAI in industrial settings, including supply chains and the emerging wave of AI agents. We’ll disentangle real opportunities from snake oil, especially where hype-driven promises meet senior management expectations. An anti-bullshit take on the possibilities ahead, with honesty, anecdotes, and (for those who know me, of course) a bit of humor.
Software engineering is changing fast. With AI now writing and reasoning about code, does it still make sense to learn Python or any language at all?
Is this the evolution of our craft, a true revolution, or just hype from those who benefit most? Join us to debate the future of Python, the risks of AI-driven development, and what skills will actually matter next.
AI agents are reshaping how we work, how we code, how we search — and quietly, how we think about ourselves as practitioners. The ground is shifting. And nobody has all the answers yet. That is exactly why we are doing this. We invite you into an open, interactive workshop in the community space: no slides, no frontal talk, no recording. Just honest conversations about what skills still matter, what is becoming obsolete, and what we need to build to navigate what is coming.