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AI-Powered Insights Mining:CBS BrandPulse Solves AI Hallucinations

Talkat DSC Europe 24 · 2024-11-18..11-22· [large-language-models, data-engineering]
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slides:none on file

CBS BrandPulse integrates with OpenAI by supplying a knowledge DB that describes metadata and by handing the LLM pre-cooked numbers and relevant statistics rather than raw tables, so the model interprets semantics and writes marketing-ready insights instead of hallucinating. Setup per new transactional source takes about 2–3 days of domain-driven semantic tagging. Complex multi-step analyses across large POS or loyalty datasets still require orchestration outside the LLM, but the system reliably pulls demographics, lifestyle and channel hypotheses from fused internal and external sources.

AI-written summary · about

  1. 0:00Introduction
  2. 0:47AI insights mining overview
  3. 1:50AI hallucinations in data
  4. 3:17BrandPulse platform
  5. 5:45Data challenges for users
  6. 9:03LLMs to bridge gaps
  7. 10:50OpenAI + BrandPulse integration
  8. 12:16AI-guided data analysis demo
  9. 14:27AI business insights demo
  10. 17:57Current challenges & future work
  11. 19:02Q&A
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