WHAT DO ORGANIZATIONS NEED TO BE SUCCESSFUL AT MACHINE LEARNING?

Summary from the TLDR Web Dev newsletter

There needs to be a focus on MLOps for organizations to be great at machine learning. This means that ML engineers should engage in data work, feature engineering, model experimentation, evaluation, deployment, and monitoring. Experimentation and evaluation should be encouraged. Successful MLOps teams have high velocity, great validation (early error detection), and good versioning practices.