~/talk

AI: Differentiating Hype and Real Value

on YouTube 01h 12m
Talkat PyCon.DE 2017 · 2017-10-25..10-27· [large-language-models]

speaker

name:Michael Feindt
links:none on file

resources

video:https://youtu.be/Ndi4hqSdBi4
slides:none on file

summary

Presents concrete results from deploying the NeuroBayes algorithm (Blue Yonder) and related AI work at CERN, Otto and Morrisons, showing measured reductions in out-of-stock rates and profit/longevity gains from automated pricing and supply‑chain automation. Describes the deployment architecture (cloud, GPUs, use of historical data) and highlights ongoing targets of automated pricing, supply‑chain optimization, and extracting causal signals from historical data.

AI-written summary · about

chapters (9)

  1. 0:00Introduction
  2. 8:51Defining AI
  3. 15:36AI vs human limits
  4. 22:14Retail logistics apps
  5. 30:19Predictive analytics risks
  6. 40:36Pricing ML models
  7. 51:10Retail automation
  8. 1:00:05AI research future
  9. 1:10:00Q&A

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