8 Ways You Can Save on Your 2023 AI/ML Budget

Intro

Summary

  1. Reframe existing Quality Assurance work as labeling
  2. Move to Open Source software
  3. Move to Enterprise with Unlimited use model
  4. Use existing tools instead of recreating the data science wheel
  5. Keep data in one place to reduce data storage and network costs
  6. Engage more existing staff to do annotation
  7. Use Random Review over multiple people looking at same file
  8. Improve Annotation Efficiency

Reframe existing Quality Assurance work as Labeling

Move to Open Source software

Diffgram went open source in mid 2021

Move to Enterprise with Unlimited Data Use Model

Use existing tools instead of recreating the data science wheel

Huggingface, Azure, AWS, GCP and more actions on Diffgram

Keep data in one place to reduce data storage & network costs

Engage more existing staff to do annotation

Use random review over multiple people looking at same file

Review loop saves AI/ML budget (Data Annotation)

Improve annotation efficiency

Improve team communication — bonus

Recap

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