~/talk

Revolutionizing AI Adoption with No-Code Efficiency for AI & ML Development

on YouTube 25m
Talkat DSC Europe 23 · 2023-11-20..11-24· [ai-assisted-development, developer-experience]

speaker

name:M.Rozhkov
links:none on file

resources

video:https://youtu.be/n_dMvcps7zo
slides:none on file

summary

Describes practical no code and low code steps: use DVC for data and model versioning, DVC X for generative AI scale to billions of files, drag‑and‑drop UIs like Teachable Machine, chat driven transforms that show proposed operations before applying them, automatic code generation and one‑click deployment with monitoring, confidence scores feeding feedback loops, and pandas AI for quick analysis; claims these features cut prototyping time dramatically and suffice for 80–90% of projects while heavier production needs still require engineers.

AI-written summary · about

chapters (12)

  1. 0:00No-code AI and ML adoption
  2. 3:02Speaker background and DVC
  3. 5:30No-code vs low-code AI
  4. 7:18Traditional vs no-code AI
  5. 9:28LLMs for analytics tools
  6. 10:30Trends in no-code AI
  7. 13:40ML engineers in no-code
  8. 15:47No-code AI use cases
  9. 17:13No-code AI platform features
  10. 21:27No-code tools challenges
  11. 23:09Choosing no-code AI
  12. 24:12Summary

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