[lewq]

1. Deploying models easily (data scientist doesn't need to grok docker/kube)

2. Monitoring models including data and model drift/statistical monitoring (data scientists don't need to grok prom/grafana)

3. Only once these base concerns are met, model inventory, provenance, data versioning, reproducibility, collaboration with notebooks, ci integration etc.

Happy to talk more - drop me a note at [e-mail]