Rasmus Steiniche

The hitchhikers practical guide to MLOps

So you find yourself in AI land because the CXO said it was important.
We now have systems utilizing traditional ML systems to GenAI and everything in between.
Some systems are built by the data science team in something called notebooks and some are using proprietary SaaS models running through some obscure APIs.
But how do we run them? Observe them? Improve them? Understand them and debug them?
Bring your towel and let's explore a practical demo of how MLOps can be implemented together with some generalized learnings about going from one model to hundreds of models in production.
We will lean on everything we learn along the way from DevOps to SRE and even the Cloud Native movement.
But you already know the answer. It's 42.

Bio: Rasmus Steiniche is the CEO who Codes @ Neurospace.
He has done everything from writing java applications. doing SaaS applications before it was cool, creating one of Denmark's biggest multi-cloud strategies, to creating big data and machine learning platforms.
Rasmus has been part of the Cloud Native and DevOps movement since 2014 and has moved on to create cloud native data and machine learning platforms.
He is a CNCF organizer at Cloud Native Aarhus / Cloud Native Nordics and a CNCF Ambassador (Denmark).