~/talk

How to successfully scale GenAI in big organizations

Talkat DSC Europe 24 · 2024-11-18..11-22· [ai-assisted-development, machine-learning]
name:A. A.
links:none on file
name:J. H.
links:none on file
slides:none on file

Deloitte describes moving GenAI from PoC to production using a 2,000 C‑level survey that finds ~40% of firms feel partly ready but only 5–6% fully ready and those get twice the impact; typical scale-up takes up to two years. Concrete wins include a retailer cutting store opening from 40 to ~25–30 days and an internal product “Documentor” that uses LLMs, OCR and anonymization to process 10,000 docs in ~30 minutes, delivering Documentor: 93% accuracy, ~60% cost reduction and ~1,500 saved days/year per use case.

AI-written summary · about

  1. 0:00Introduction
  2. 1:12Talk overview
  3. 2:16GenAI adoption survey
  4. 6:07GenAI investment trends
  5. 9:14Risk governance challenges
  6. 11:00Scaling in life sciences
  7. 14:54Building blocks for scaling
  8. 16:39Process over technology
  9. 21:38Documentor demo
  10. 33:06Scaling strategies impact
  11. 35:58Training challenges
  12. 37:47Q&A
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