Technically Minded
Technically Minded
Jun 30, 2022
6 practices for successful AI/ML investments
Play • 47 min

Machine learning (ML) and artificial intelligence (AI) have revolutionized industries and our daily lives, so why is it that 90% of ML models still never make it to production

Credera's CTO Jason Goth and Chief Data Scientist Vincent Yates are discussing the top lessons they've learned over years working with clients in this domain. Here are the 6 practices they recommend for ensuring your AI/ML investments are successful:

  1. Take a Design-First Approach
  2. Keep it Simple
  3. Know the Limitations of Your Data
  4. There’s More Engineering in an AI/ML Solutions than AI or ML
  5. You Can’t Decompose Modeling Problems Like Software Domains
  6. Data Scientists Don’t Know How Much Things Cost
--- Send in a voice message:
More episodes
Clear search
Close search
Google apps
Main menu