MDLIOPS 2023: Slides

The MDLIOPS 2023 Conference, held at the end of February, was a celebration of the latest advances in managing and deploying machine learning models. We had the privilege of listening to the most experienced practitioners and thought leaders in MLOps. 

We had more than 1,600 registrations from all over the world.

We would like to thank all the attendees, speakers, and sponsors for making this conference a success: W&B, Aporia, Nvidia, Cnvrg.io, MSD, Zipricruter, Iguazio, NEBIUS.

We appreciate your dedication and enthusiasm for advancing the field of MLOPS

and we look forward to seeing everyone at future conferences and events.

All sessions are available on the community YouTube channel for those who missed the conference or wished to rehearse the lectures. The speaker's slides are available here. If you don't want to miss any updates in the future, please subscribe to our newsletter.

Our next  MDLIops 2024 event is here! For registering and watch the full agenda click here.

The full conference playlist:

Understanding the Landscape of the latest Large Models,

Anish Shah, Growth MLE, Weights & Biases

A Look at Market Trends that Define New ML Standards,

Liran Hason, CEO & Co-Founder, Aporia

Scaling AI Workloads on NVIDIA Hopper GPU Architecture,

Ofir Zamir, Director of AI Solution Architecture, NVIDIA Israel

Farm-to-Tablet: what it takes to develop a ML based health monitoring solution for animals, 

Hagen Wille, Al Team Lead, MSD Animal Health Intelligence Technology Labs

Scaling Up: Strategies for Handling Large Scale AI in a Distributed Environment

Avishay Sebban, Senior Solutions Architect, Cnvrg.io

MLOps to the rescue: How we 10x our DS Velocity with Model Manager,

Naama Ziporin, Team Lead, Outbrain

Alex Ingberg, Algorithm Engineer & Data Scientist, Outbrain

Alignment approach to ML Project Management : Why We Invested In Simulation Instead Of In Optimizing The Model More,

Dr Hagit Grushks-Cohen, Senior Applied Researcher, Microsoft

Panel: From Research to production – how to develop models all the way to production

Speakers: Ofer Shemesh,Sr. Director of Engineering, Ziprecruiter| Gilad Shaham ,Director of Product Management , Iguazio| Amir Alush, CTO and co-founder, Visual Layer

Iterating fast to improve your baselines, Thomas Capelle, Machine Learning Engineer, Weights & Biases

Unleashing the Full Potential of Your Recommender System in Production, Alon Gubkin, CTO & Co-Founder, Aporia

Data Maps: Creating a Better Model Is Easy if You ‘Just’ Use the Right Data, Racheli Abo, Data Scientist, Riskified

Needle in a haystack, How to pick the right MLOPS technology/vendor, Eyal Trabelsi,Architect, bigabid