MDLI Ops 2022

Join us for all the latest updates on MLOps.
January 20th 2022
Online

Days

Hours

Minutes

Seconds

About the Conference

MDLI is planning an online event on January 20th 2022, dedicated to MLOps, with all the top voices in the field.

Our goal is to shed light on this growing field by allowing leading researchers from the industry and academia to share their work with our community.

Join us to hear what the future holds for MLOps! The event will include a number of keynotes, an experts’ panel, and technical talks.

Speakers

Uri Eliabayev MDLI Founder

Chris Van Pelt

Co-founder,
Weights & Biases

Yaron Haviv

Co-Founder & CTO,
Iguazio

Alon Gubkin

Co-Founder & CTO,
Aporia

Guy Salton

Solutions Architect,
Run:AI

Gili Nachum

AI/ML Sr. Solutions Architect,
AWS

Scott Condron

ML Engineer,
Weights & Biases

Gilad Shainer

SVP of HPC and Networking,
NVIDIA

Oren Razon

Co-founder and CEO, Superwise

Naama Ziporin

AutoML Team Leader,
Outbrain

Or Hiltch

VP of Engineering,
JLL

Gideon Mendels

CEO & Co-Founder,
Comet ML

Shir Chorev

Co-Founder & CTO,
Deepchecks

Michael Winer

Data Scientist,
AppsFlyer

Ran Romano

Co-Founder & VP Engineering, Qwak

Lidiya Norman

Senior Data Scientist,
BigPanda

Nadav Bar-Uryan

Machine Learning Software Engineer,
BigPanda

Yoav Ramon

AI Lead, Hi Auto

Diamond Sponsorship

Gold Sponsorship

Silver Sponsorship

the Agenda
20.01.2022

Welcome to MDLI Ops 09:30
Where's the pull request for MLOps? 09:35

Chris Van Pelt, Weights & Biases
MLOps Beyond Training: Simplifying and Automating the Operational Pipeline 09:50

Yaron Haviv, Iguazio
Building an ML Platform from Scratch 10:10

Alon Gubkin, Aporia
Inference Workloads: Solving Challenges Beyond Training Models 10:35

Guy Salton, Run:AI
Break 11:00
Implementing MLOps best practices with Amazon SageMaker 11:15

Gili Nachum, AWS
Reproducible Machine Learning 11:30

Scott Condron, Weights & Biases
Building a World-Class Supercomputer 12:05

Gilad Shainer, Nvidia
Panel - The MLOps Stack: Where do we go from here? 12:20

Oren Razon (Superwise.ai), Naama Ziporin (Outbrain), Or Hiltch (JLL), Gideon Mendels (Comet ML)
Break 13:05
Offline Model Validation 101: Testing Your Model Before Deployment 14:05

Shir Chorev, Deepchecks
Developing & Handling a ML algorithm in a non-technical environment 14:25

Michael Winer, AppsFlyer
Feature Stores – Unified Data Pipelines for ML 14:40

Ran Romano, Qwak
Building a modern DS work environment with Kubernetes 14:55

Lidiya Norman and Nadav Bar-Uryan, Big Panda
Are ML Engineers real? 15:15

Yoav Ramon, Hi Auto
Closing Remarks 15:30