~/panel

Pannel Discussion | Business Of AI And Data Products From Product Management To ROI

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speakerdeck:emancu
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Panel gives concrete outcomes not hype: a scraped-duplicates problem gets solved with SQL de-dup solved in 2–3 hours instead of months of ML, simple heuristics handle rules fixed 90% fraud immediately, swapping MSK for autoMQ claims a billing drop like MSK→autoMQ cuts $15k to $200 in one case, and LLM classification replaces regexp limits for mutated phishing images as LLM for phishing image detection. Also covers ROI matrices, unit-economy experiments, DoS mitigation and when to freeze or scale projects.

AI-written summary · about

  1. 0:00Introduction to AI/data products
  2. 1:51AI as business problem
  3. 4:59Outcomes for stakeholders
  4. 10:37Measuring ROI beyond tech
  5. 17:00AI vs data products selection
  6. 24:05Automation vs AI choice
  7. 33:44Q&A
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