~/panel

Panel discussion: Practical and responsible applications of AI in businesses

name:Lily Ryan
links:none on file
links:none on file
slides:none on file

Companies describe concrete wins and costs: a property search feature uses median house price, median income, median age and launches after two people two weeks, saving time and avoiding costly LLM fine-tuning; a payroll/accounting platform treats AI as product-reach that can affect millions so it requires multi‑million-dollar investment and governance; a mobility firm trains models on huge location datasets to justify multi‑billion infrastructure bids; common pain points are LLM hallucinations, evaluation gaps, integration and running costs, automation bias and unclear regulation.

AI-written summary · about

  1. 0:00Introduction
  2. 0:44Panelists
  3. 7:09AI practical applications
  4. 19:30AI adoption trends
  5. 29:00AI risks and biases
  6. 37:53Regulation and responsible AI
  7. 42:06Starting with AI
  8. 47:44AI future trends
  9. 50:31AI global challenges
  10. 1:00:31Closing remarks
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