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 Representation
This conference was heavily AWS based. AWS was the most represented of the big three. They had their own booth. I saw no Azure representation ( but some Microsoft Research folk).
I also see very little Gogole respresentation, one talk.
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://pachyderm.io/ also: https://www.pachyderm.com/
github.com/pachyderm/examples/tree/master/label-studio
Link Dump
https://github.com/microsoft/DeepSpeed
