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DataEngBytes 2023 - MEL-T1-02 - Kendra Vant

on YouTube 33m
Talkat DataEngBytes Melbourne 2023 · on Thursday, 2023-08-31· [data-engineering, ai-assisted-development]

speaker

name:Kendra Vant
links:none on file

resources

video:https://youtu.be/iTx-Ggauxzg
slides:none on file

summary

Argues that successful AI products rest on clarified data practice and cross-team literacy, citing seven years shipping AI products, prior Enterprise data work at CommBank and a production resume-job model at Seek as experience examples. Points to real failures like the robo-debt crisis and biased finance models as data-rooted harms, warns that data models are not AI models, that training and inference require different data shapes and costly GPUs, and that no model gives 100% accuracy so pipelines must keep historical data and include human‑in‑the‑loop and monitoring.

AI-written summary · about

chapters (15)

  1. 0:00Introduction
  2. 1:05Data quality for AI
  3. 3:53AI product miscommunication
  4. 8:48Humans in AI systems
  5. 10:56Knowledge gaps in teams
  6. 13:43Vocabulary gaps and brittle products
  7. 16:11Data vs AI models
  8. 18:15Bias and fairness in AI
  9. 21:04Cost of AI model training
  10. 24:12AI accuracy limits
  11. 27:45Handling AI inaccuracies
  12. 28:26Slowly changing dimensions in ML
  13. 29:27AI task specificity
  14. 30:30Closing knowledge gaps
  15. 32:34Q&A

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