Andrey Holz
Chief Data Scientist, Applied AI; EPAM Systems
Berlin, Germany
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* Data Science leader with a 12+ year track record of delivering business-critical AI solutions.
* Specializes in translating complex business challenges into high-impact ML systems using Agentic AI, LLMs, and Computer Vision.
* Hands-on expert and strategic leader who successfully founded, scaled, and led a high-performing Data Science unit from scratch
* Lead Classical ML at ehu.lt , lectures available online: https://www.youtube.com/@AndreyHolz
Area of Expertise
Topics
Enterprise Knowledge Management in the Era of Agentic AI
Every few months, a new “smarter” model is released - Gemini, ChatGPT, or others. But here is the truth: no new version of an LLM / VLM will solve enterprise problems by itself.
In this talk, we share how in the Life Sciences domain we built a modern Knowledge Management platform where the real breakthrough came not from a bigger model, but from giving AI structured access to enterprise data. Our multi-layer architecture Data Foundation, Ontologies, Execution, Operations enabled AI agents to:
– Transform hidden corporate data into a living knowledge base
– Build and refine ontologies that evolve with the company
– Make corporate knowledge accessible to every employee
– Solve diverse use cases, from marketing and translation to planning and strategic decision graphs
The key message: models alone are not enough. Real business value comes when Agentic AI is grounded in enterprise knowledge. This is where the next generation of developers can make a difference.
DevFest Berlin 2025 Sessionize Event
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