
Why MLOps Production & Engineering?
Too few companies have effective AI leaders or an effective AI strategy.
An interactive conference is one in which you meet attendees before the event, message speakers directly, discuss specific areas of your work and establish a stronger network. We’re working to help you with a clearer understanding of best practices, methodologies, and principles of effective ML.
The micro-summit includes:
- 16 Speakers
- 4 Workshops
Join this new initiative to help push the AI community forward.
We’re Hosting

BREAKOUT SESSIONS
(All Levels)

DISCUSSION GROUPS

WORKSHOPS

VIRTUAL PLATFORM
Speakers

Sai Xiao
Machine Learning Engineer, Pinterest
Bio & Abstract
Talk: Shopping Recommendations at Pinterest

Amit Paka
CPO & Co-founder, Fiddler AI
Bio & Abstract
Talk: Build High Performance MLOps With ML Monitoring and AI Explainability

Jennifer Prendki
Founder and CEO, Alectio
Bio & Abstract
Talk: Data Prep Ops: The Last Frontier of ML Ops

Auro Tripathy
Technical Marketing Manager, Tenstorrent
Bio & Abstract
Talk: A Gentle Introduction to Sparsity with A Concrete Example

Deepak Pai
Senior Manager, Machine Learning, Adobe
Vijay Srivastava
Manager, Machine Learning, Adobe
Bio & Abstract
Talk: Automated Monitoring in Production for Continuous Model Improvements

Danny Luo
Machine Learning Engineer, NextdoorBio & Abstract
Talk: Running ML Inference Services in Shared Hosting Environments

Reah Miyara
Head of Product, Arize AIBio & Abstract
Talk: ML Observability: A Critical Piece in the ML Stack

Ville Tuulos
CEO, Co-Founder, Outerbounds
Bio & Abstract
Talk: Human-Centric MLOps: Why Productivity Matters the Most

Mike Berg
Vice President, Technology in Admin, AltaMLBio & Abstract
Talk: The Ops In MLOps

Shivam Bharuka
Senior AI Infra Engineer, FacebookBio & Abstract
Talk: Machine Learning Infrastructure at Facebook Scale

Stacey Svetlichnaya
Deep Learning Engineer, Weights & Biases
Bio & Abstract
Talk: Reproducible Machine Learning: How (Not) to Repeat the Past

Betty Zhang
Data Scientist, Amazon Web Services (AWS)Bio & Abstract
Talk: How to Iterate and Productionize Machine Learning Models with Speed

Alessya Visnjic
CEO, WhyLabs
Bio & Abstract
Talk: The Critical Missing Component in the Production ML Stack

Ashwini Badgujar
Machine Learning Engineer, Impulse LogicBio & Abstract
Talk: End-to-end MLOps for Computer Vision
Workshop Facilitators

Adam Gugliciello
Senior Solutions Engineer, DataikuBio & Abstract

Jimmy Whitaker
Data Science Evangelist, Pachyderm
Bio & Abstract
Workshop: Intro to MLOps: Build, Deploy, and Retrain a Model in Production

Yaron Haviv
Co-Founder and CTO, Iguazio
Bio & Abstract
