MLOps World 2022

Vendor Overview

There were two large groups of vendors. Vendors selling ML pipelines or integrated ML Ops platforms, and vendor selling model monitoring systems aka observability.

Cloud Rep

This conference was heavily AWS based.

AWS was the only one of the big three whoe represetned.

Azure and GCP were not seen.

IBM was also present.

Most vendors had AWS solutionos , or were hosted on AWS, Azure and GCP compatibility and offerings were scrace.

Sessions

June 7th

10am

First session nest practice

Lina

not very usful to me. joined late doue to hova + hopin tehcnical difficulties.

Automated Machine Learning & Tuning with FLAML

11 am

3h session.

manually tuning hyper parameters is a large effort.

costs a lot , tuning opportunity lost due to load .

also cost is not one time.

the goal is to remove the hassle of tuning.

https://microsoft.github.io/FLAML/

Taking MLOps 0-60: How to Version Control, Unify Data and Management

https://labelstud.io/

https://pachyderm.io/ also: https://www.pachyderm.com/

github.com/pachyderm/examples/tree/master/label-studio

link dump

https://github.com/microsoft/DeepSpeed

https://github.com/linkedin/greykite