MLOps London is back again in July with more talks on production machine learning, DevOps and Data Science. The plan, as usual, is to run another hybrid event so please come along in person if you’re local. If you’re further afield you will still be able to join the stream.
***
🎤 Future proofing AI for regulation: an MLOps approach
🧑 Chris Jefferson – CTO @ Advai
The AI industry is rapidly changing and for every successful deployment seen there are many more failures. With the wider reach of AI principles and incoming regulation it will become ever more important to ensure that deployed AI is able to be responsibly built and accurately assured.
In this presentation Chris will highlight some of the pains and blockers to adoption they have identified and how they are able to alleviate them as part of the MLOps lifecycle, to assure decision makers, adhere to regulations and promote adoption of AI.
🎤 Designing Production Grade MLOps Pipeline using KubeFlow
🧑 Srivalsan Mannoor – Cloud Engineer @ Amazon
This tech talk talks about designing MLOps Pipeline by leveraging Kubernetes services and the talk also covers the efficient ways of building pipeline taking into consideration the security and cost optimisation as well.
———————-
SECTIONS
———————-
00:00 – Set Up
02:40 – Welcome
05:30 – Future proofing AI for regulation: an MLOps approach
27:25 – Q+A
51:44 – Designing Production Grade MLOps Pipeline using KubeFlow
1:26:53 – Q+A
#ai #machinelearning #devops #mlops #datascience #cloud #meetup
source