~/panel

Pannel Discussion | From Hype To Value: Real World Applications Of Generative AI And LLMs

on YouTube 40m
Panelat Big Data Conference Europe 2025 · 2025-11-19..11-21· [large-language-models]

speakers

name:Ganesh Kumar Suresh
links:none on file
name:Thomas Endres
linkedin:thomasendres
name:Ivo Moring
links:none on file
name:Graeme Lipschitz
links:none on file
name:Agustin Figueroa Nazar
links:none on file
name:Martin Förtsch
x:MartinFoertsch

resources

video:https://youtu.be/6aPfrS7WzkQ
slides:none on file

summary

Panel reports concrete wins and stumbles: multi‑day tours get reshaped by ticket‑text analysis and pattern clustering, an on‑prem model stack (Chimera local LLM) keeps data in Germany and powers consultants, an animation pipeline runs 80% AI 20% human and cuts cost, automated test agents sometimes fail so deterministic flows replace them, and a benchmark claim that Gemini 3 is ~30% better on HI2 surfaces. Hallucinations and data quality still block scaling.

AI-written summary · about

chapters (8)

  1. 0:00Introduction
  2. 3:26Real-world AI deployments
  3. 9:54AI failures lessons
  4. 16:40Agentic AI automation
  5. 19:32AI governance and ethics
  6. 26:04Agentic AI future
  7. 27:31Q&A
  8. 39:02Closing remarks

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