05.09.2026 –, Europasaal A
Everyone talks about agents running everything end‑to‑end. In reality, delivering company‑specific agents in enterprise environments is hard—especially under Austrian regulatory and data constraints, where weak DevOps just breaks faster.
Everyone talks about agents running everything end‑to‑end. In reality, delivering company‑specific agents in enterprise environments is hard—especially under Austrian regulatory and data constraints, where weak DevOps just breaks faster. This talk shows how EY actually delivers custom agents, where they add value today, and why governance, guardrails, and sovereignty keep them from going rogue.
László Baló is an AI Solution Architect at EY, specializing in enterprise data platforms and AI. He previously worked at Raiffeisen‑Landesbank, where he built the core ETL platform for the bank’s data science organization and led major data pipeline initiatives. Earlier, at AVL, he contributed to large-scale analytics platforms and supported teams across Europe in adopting data-driven solutions.