~/talk

AI isn't magic. It’s Computer Science.

on YouTube 03m
Talkat Strata Data Conference 2019 - New York, NY · 2019-09-23..09-26· [machine-learning, ai-assisted-development]

speakers

name:Robert Thomas
links:none on file
name:Tim O'Reilly
links:none on file

resources

video:https://youtu.be/3FocNDnJBfk
slides:none on file

summary

Claims that AI will add $16 trillion by 2030 get anchored to concrete barriers: a reported 250,000 data scientist shortage, reluctance to move core data to public cloud, and cultural gaps. Actual levers are named — automated feature engineering and auto algorithm selection inside systems like Watson, hybrid public/private cloud deployments on platforms such as RedHat, and practical steps like mask sensitive data for safe experimentation. Managers who adopt these practices displace those who don’t.

AI-written summary · about

chapters (4)

  1. 0:00Intro
  2. 0:30Data science skills shortage
  3. 1:57Public and private cloud
  4. 2:25Fear factor

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