Why Generic AI Fails in Banking | Dalibor Hlava (Galytix)

Is generic AI like ChatGPT or Microsoft Copilot truly enough for the highly regulated financial sector?Despite billions pouring into corporate AI investments, fewer than 10% of enterprises have successfully scaled generative AI to deliver tangible business value. In this episode of Spotlight, moderator Martin Zika sits down with Dalibor Hlava, Chief AI Officer at Galytix, to uncover the hard reality of artificial intelligence in banking workflows.💡 What we talk about:(04:30) Generic vs. Specialized AI: What's the Difference(05:53) How Small AI Failures Compound in Multi-step Workflows(09:37) Why "Human in the Loop" Doesn't Solve AI Scaling(12:00) What is Problem Structuring in AI Architecture(18:28) Navigating the Risk-Return Frontier of Banking AI(21:20) Build, Buy, or Partner? Devising a Bank's AI Strategy(24:37) The Future of Banking: A Network of Specialized Digital Officers🎙️ Guest: Dalibor Hlava, Chief AI Officer, Galytix🎤 Moderator: Martin Zika, BusinessInfo.czFollow ⁠other episodes of the Innovate or Die podcast⁠ about innovation, business, and education.Give us a 👍 if you enjoyed the conversation and subscribe so you don’t miss new episodes.Publisher:⁠⁠⁠Innovation Week⁠⁠Follow us: – ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Innovation Week⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠– ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠– ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠– ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠