MLOps-Logo

2nd Annual

MLOps World:
Machine Learning in
Production Conference
MLOps-Logo

A Uniquely Interactive Experience

2nd Annual MLOps World Conference on Machine Learning in Production

Join our community of over 9,000 members as we learn best practices, methods, and principles for putting ML models into production environments.

Why MLOps? Read more

MLOps World will help you put machine learning models into production environments; responsibly, effectively, and efficiently.

We’ll be covering topics such as

  • Version Management
  • CI/CD Architecture for Model Deployment
  • Pipeline Scheduling Optimizations
  • Feature Engineering
  • Feature Store Design and Maintenance
  • Effective Data/Machine Learning Strategies
  • New Research
  • And more!

Come share your stories and join us June 14-17th

Created in collaboration with MLOps Community.

Each Pass includes:

signup-today
Community Networking

Receive invites to meet with the wider Community via Slack today

demo-days
Demo Days

Learn current tools / open source projects from specialists at Demo Days
June 8th – 10th

careers
Careers

Post jobs, see applicants / register as a job-seeker

signup-today
Upskill Workshops

Conference workshops begin
June 14th – 15th

conference-sessions
Conference Sessions

Interactive sessions. Exclusive Case studies
June 16th – 17th

Newly Added Speakers

(more to be announced)

Shreya-Shankar_Machine_Learning_mlops_predictive-maintenance_face-significant-challenges_broader-interest

Talk: Catch Me If You Can: Keeping Up With ML Models in Production

Shreya Shankar
ML engineer, PhD student
Jules Damji

Talk: The AI Captain; A study of ML at the Edge

Rob High
Vice President and CTO, IBM Networking and Edge Computing, IBM Fellow
Matei Zaharia

Talk: Productionizing Machine Learning at Scale with MLflow

Matei Zaharia
Chief Technologist, Databricks and Assistant Professor, Stanford

Each Ticket Includes Learning Workshops:

Some may have limited seating. Ask about our team discounts

june

13jun11:00 am3:00 pmHands-On Workshop: How to Build Pipelines with KubeflowMohamed Sabri - Senior Consultant in MLOps, Rocket Science11:00 am - 3:00 pm

14jun9:00 am10:25 amWorkshop: Productionize with Kubeflow Orchestration with Feast in GCPAniruddha Choudhury - Senior Datascientist, Publicis Sapient9:00 am - 10:25 am

14jun11:00 am12:00 pmWorkshop: Fixing Data Quality at Scale with Data ObservabilityBarr Moses - CEO & Co-Founder & Lior Gavish - Co-Founder, Monte Carlo11:00 am - 12:00 pm

14jun11:00 am12:30 pmHands-On Workshop: Advanced Model Deployment with Seldon Deploy: Deploying a Customer Segmentation Model; Configuring Drift, Outlier Detection & Model ExplainabilityTom Farrand - Lead Solutions Engineer & Sean Greaves - Lead Solutions Engineer, Seldon11:00 am - 12:30 pm

14jun12:00 pm2:00 pmIguazio Presents: MLOps Orchestration: Your Highway to Accelerating Deployment of AIYaron Haviv - Co-Founder and CTO, Iguazio12:00 pm - 2:00 pm

14jun1:00 pm2:00 pmWorkshop: MLOps with PyCaretMoez Ali - Founder and Author, PyCaret1:00 pm - 2:00 pm

14jun1:00 pm2:30 pmHands-On Workshop: Complete ML Lifecycle with MLflow: Learn its Four ComponentsJules S. Damji - Senior Developer Advocate, Databricks, Inc. 1:00 pm - 2:30 pm

14jun3:00 pm7:25 pmWorkshop: From Concept to Production: Template for the Entire ML JourneyChanchal Chatterjee - Artificial Intelligence Leader & Elvin Zhu - AI Engineer & Timothy Ma - ML Specialist, Google3:00 pm - 7:25 pm

14jun4:00 pm5:30 pmModelOp Presents: Building a Model Life Cycle: The First Step in Operationalizing AI Models (Bonus Workshop)Jim Olsen - CTO, ModelOp4:00 pm - 5:30 pm

15jun9:00 am1:30 pmWorkshop: Essential Workshop to Exploratory Data Analysis and Feature EngineeringVladimir Rybakov - Head of Data Science & Aleksandr Mester - Data Scientist, WaveAccess9:00 am - 1:30 pm

15jun9:00 am10:00 amWorkshop: Long Live Models: A Tutorial on Model Monitoring in ProductionEmeli Dral - CTO / Co-founder & Elena Samuylova - CEO / Co-Founder, Evidently AI9:00 am - 10:00 am

15jun9:00 am1:00 pmWorkshop: Good, Fast, Cheap: How to Do Data Science with Missing DataMatthew Brems - Managing Partner & Principal Data Scientist, BetaVector9:00 am - 1:00 pm

15jun11:00 am1:00 pmWorkshop: Building an ML Platform from ScratchAlon Gubkin - VP R&D, Aporia11:00 am - 1:00 pm

15jun11:00 am12:30 pmWorkshop: Closing the Production Gap with MLOpsAsger Pedersen - ML Worldwide Technical Lead, DataRobot11:00 am - 12:30 pm

15jun1:00 pm1:45 pmMLOPs with Dataiku: Considerations For Model Deployment & MonitoringChristina Hsiao - Senior Product Marketing Manager, Dataiku1:00 pm - 1:45 pm

15jun1:00 pm4:00 pmSensibill Presents: Deploying an E2E ML Pipeline with AWS SageMaker - What Amazon Didn't Tell You (Bonus Workshop)Kollol Das - ML Research Lead & Fred Caroli - ML Research Lead, Sensibill1:00 pm - 4:00 pm

15jun1:00 pm5:25 pmWorkshop: From Concept to Production: Template for the Entire ML JourneyChanchal Chatterjee - Artificial Intelligence Leader & Elvin Zhu - AI Engineer & Timothy Ma - ML Specialist, Google1:00 pm - 5:25 pm

15jun3:00 pm4:30 pm5 Governance Capabilities You Need in MLOpsTrey Morrow - Solutions Engineers & Dwayne Dreakford - Solutions Engineer, Algorithmia3:00 pm - 4:30 pm

15jun3:00 pm5:00 pmTaking Aim at Bias in AI - How 10 Companies learned to Audit, Investigate and Mitigate Bias in AI ModelsShingai Manjengwa & Rishav Agarwal & Fatemeh Darbehani & Michael Skupien & Tomas Tokar & Bart Gajderowicz3:00 pm - 5:00 pm

June 16th – 17th Exclusive Interactive Sessions:

june

16jun10:30 am11:00 amIs Your ML Model Trustworthy?María Grandury - Machine Learning Research Engineer, Neurocat GmbH10:30 am - 11:00 am

16jun10:30 am11:00 amConnecting Data Scientists to Production with the Tempo Python SDKClive Cox - CTO, Seldon10:30 am - 11:00 am

16jun10:30 am11:00 amIntegrating Multiple MLOps Tools Together on Google Cloud PlatformMefta Sadat - Senior ML Engineer, Loblaw Digital10:30 am - 11:00 am

16jun11:05 am11:35 amData Scientist or ML Engineer: Who Do We Need Now?Marcin Mizianty - Vice President, Data Science, AltaML11:05 am - 11:35 am

16jun11:05 am11:35 amBreaking the Monolithic ML Pipeline with a Feature StoreJim Dowling -  CEO,  Logical Clocks and Associate Professor, KTH Royal Institute of Technology11:05 am - 11:35 am

16jun11:05 am11:35 amMachine Learning Tools: Skyline and RL-ScopeGennady Pekhimenko - University of Toronto / Vector Institute11:05 am - 11:35 am

16jun11:40 am12:10 pmFrom 12 Months to 30 Days to AI Deployment: An MLOps JourneyYaron Haviv - Co-Founder and CTO, Iguazio & David Aronchik - Partner, Product Manager, Azure Innovations Group in the Office of the CTO, Microsoft & Greg Hayes - Data Science Director, Ecolab11:40 am - 12:10 pm

16jun11:40 am12:10 pmDeveloping a Data-Centric NLP Machine Learning PipelineDiego Castaneda - Data Scientist & Jennifer Bader - Content Strategist, Shopify11:40 am - 12:10 pm

16jun11:40 am12:10 pmFLAML: Fast and Lightweight AutoMLChi Wang - Principal Researcher & Qingyun Wu - Postdoc Researcher, Microsoft Research11:40 am - 12:10 pm

june

16jun12:30 pm1:00 pmProductionizing Machine Learning at Scale with MLflowMatei Zaharia - Chief Technologist, Databricks and Assistant Professor, Stanford12:30 pm - 1:00 pm

june

16jun1:05 pm1:35 pmDesign Patterns for MLOpsSara Robinson - Senior Developer Advocate, Google Cloud1:05 pm - 1:35 pm

16jun1:05 pm1:35 pmModel Monitoring: What, Why, and HowManasi Vartak - CEO, Verta Inc1:05 pm - 1:35 pm

16jun1:05 pm1:35 pmSystematic Approaches and Creativity: Building DoorDash's ML Platform During the PandemicHien Luu - Sr. Engineering Manager & Dawn Lu - Data Scientist, DoorDash1:05 pm - 1:35 pm

16jun1:05 pm1:35 pmProject MagLev: An MLOps Platform for Autonomous Vehicles Development at NVIDIANicolas Koumchatzky - Senior Director, AI Infra, Nvidia1:05 pm - 1:35 pm

16jun1:40 pm2:25 pmMachine Learning on Dynamic GraphsEmanuele Rossi - Machine Learning Researcher, Twitter1:40 pm - 2:25 pm

16jun1:40 pm2:25 pmThe AI Captain; A study of ML at the EdgeRob High - Vice President and CTO, IBM Networking and Edge Computing, IBM Fellow1:40 pm - 2:25 pm

16jun1:40 pm2:25 pmFiddler AI Presents: Data and Process Governance for Responsible and Ethical AIKrishna Gade - CEO & Co-Founder, Fiddler AI1:40 pm - 2:25 pm

16jun2:45 pm3:15 pmHoloClean and Kamino: Structured Learning for Private Data GenerationIhab Ilyas - Professor, University of Waterloo2:45 pm - 3:15 pm

16jun2:45 pm3:15 pmMLOps Platform Architecture for E2E ML PipelinesJoao Da Silva - Lead Data Engineer, Avast2:45 pm - 3:15 pm

16jun2:45 pm3:15 pmCatch Me If You Can: Keeping Up With ML Models in ProductionShreya Shankar - ML Engineer, PhD Student2:45 pm - 3:15 pm

16jun3:20 pm3:50 pmSecurity Audits for Machine Learning AttacksNavdeep Gill - Lead Data Scientist/Team Lead, Responsible AI & Michelle Tanco - Customer Data Scientist, H2O.ai3:20 pm - 3:50 pm

16jun3:20 pm3:50 pmThe Critical Missing Component in the Production ML StackAlessya Visnjic - CEO and Co-Founder, WhyLabs3:20 pm - 3:50 pm

16jun3:20 pm3:50 pmMarius: Machine Learning Over Billion-Edge Graphs 10x Faster and 5x CheaperTheodoros Rekatsinas - Assistant Professor, University of Wisconsin-Madison3:20 pm - 3:50 pm

16jun3:55 pm4:25 pmChallenges for ML Operations in a Fast Growing CompanyGulsen Kutluoglu - Director of Engineering & Sam Cohan - Principal ML Engineer, Udemy3:55 pm - 4:25 pm

16jun3:55 pm4:25 pmQuick Deploy Model Serving in Ranking SystemsTalal Riaz - Software Engineer, ML Infrastructor, Yelp Inc.3:55 pm - 4:25 pm

16jun3:55 pm4:25 pmMLOps vs. ModelOps – What’s the Difference and Why You Should CareJim Olsen - CTO, ModelOp3:55 pm - 4:25 pm

june

17jun10:30 am11:00 amHow Not to Let Your Data and Model Drift Away SilentlyChengyin Eng - Data Science Consultant, Databricks10:30 am - 11:00 am

17jun10:30 am11:00 amMLSecOps and Shift-Left Your Security Gears in Model LifecycleArun Prabhakar - Senior Consultant, Security Compass10:30 am - 11:00 am

17jun10:30 am11:00 amProduction Machine Learning Monitoring: Outliers, Drift, Explainers & Statistical PerformanceAlejandro Saucedo - Engineering Director, Seldon10:30 am - 11:00 am

17jun11:05 am11:35 amMachine Learning Optimizations and Strategy for Post-Covid EraSharmistha Chatterjee - Senior Manager Data Sciences, Publicis Sapient11:05 am - 11:35 am

17jun11:05 am11:35 amBreaking Down Scotiabank's New Global AI PlatformPooja Bhojwani - Senior Data Scientist & Min Li - Director IB AIML, Scotiabank11:05 am - 11:35 am

17jun11:40 am12:10 pmMLOps at Acerta: Automation of the Machine Learning Life Cycle for ManufacturingAmit Jain - Director Machine Learning & Harika Gaggara - Data Scientist, Acerta Analytics11:40 am - 12:10 pm

17jun11:40 am12:10 pmScale-Out-First Microarchitecture for Efficient AI ComputeJasmina Vasiljevic - Director Software Engineering, Tenstorrent11:40 am - 12:10 pm

17jun11:40 am12:10 pmTinyML and Efficient Deep LearningSong Han - Assistant Professor, MIT11:40 am - 12:10 pm

june

17jun12:30 pm1:00 pmTaking AIM at Racial and Language Bias in AI Models; How 10 Companies learned to Audit, Investigate and Mitigate Bias in AI ModelsShingai Manjengwa - Director of Professional Development, Vector Institute & Godwin Liu - Industrial Technology Advisor, National Research Council of Canada (NRC), IRAP Ontario Region12:30 pm - 1:00 pm

june

17jun1:05 pm1:35 pmBuilding Reusable and Scalable ML Services to Enable Rapid Development in our Health and Wellness MarketplaceGenna Gliner - Machine Learning Engineer & Brandon Davis - Machine Learning Engineer, Mindbody1:05 pm - 1:35 pm

17jun1:05 pm1:35 pmDatarobot Presents: What's Next for MLOps?Tristan Spaulding - Senior Director & Product Management, Datarobot1:05 pm - 1:35 pm

17jun1:05 pm1:35 pmMulti-Armed Bandits in Production at Stitch FixBrian Amadio - Data Platform Engineer, Stitch Fix1:05 pm - 1:35 pm

17jun1:40 pm2:25 pmTraining Models on the Cloud without Changing a Single Line of Code with GridWilliam Falcon - Founder & CEO, Grid.ai and Creator of PyTorch Lightning1:40 pm - 2:25 pm

17jun1:40 pm2:25 pmHow to Succeed With Machine Learning at ScaleFatima Kardar - Vice President, Chief Technical Advisor to CTO, Microsoft & Sandhya Ramu - Senior Director, Site Reliability Engineering, LinkedIn1:40 pm - 2:25 pm

17jun1:40 pm2:25 pmTaming the Long Tail of Industrial ML ApplicationsSavin Goyal - Software Engineer, Netflix1:40 pm - 2:25 pm

17jun2:45 pm3:15 pmPANAMA: In-network Aggregation for Shared Machine Learning ClustersNadeen Gebara - PhD Student, Imperial College London2:45 pm - 3:15 pm

17jun2:45 pm3:15 pmDiagnosing Failure Modes in your ML OrganizationJason Sleight - Group Technical Lead: ML Platform & Daniel Yao - Director of Applied Machine Learning, Yelp2:45 pm - 3:15 pm

17jun2:45 pm3:15 pmIterative Development Workflows for Building AI ApplicationsVincent Sunn Chen - Founding Engineer, Leading ML Engineering & Priyal Aggarwal - Machine Learning Engineer, Snorkel AI2:45 pm - 3:15 pm

17jun3:20 pm3:50 pmScaling AI in Production with PyTorchGeeta Chauhan - AI/PyTorch Partner Engineering Head, Facebook AI3:20 pm - 3:50 pm

17jun3:20 pm3:50 pmShopping Recommendations at PinterestSai Xiao - Machine Learning Engineer, Pinterest3:20 pm - 3:50 pm

17jun3:20 pm3:50 pmSpeedrunning MLOps: From Scratch to ScaleKenny Daniel - Co-founder and Chief Technology Officer, Algorithmia3:20 pm - 3:50 pm

17jun3:55 pm4:25 pmWe Protect, They Attack: Adversarial ML Ops with Elastic SecurityJessica David - Senior Data Engineer & Sven Cattell Senior Security Data Scientist, Elastic3:55 pm - 4:25 pm

17jun3:55 pm4:25 pmUnlock the Power of MLFlow with A Multi-Cloud Compute InfrastructureJitendra Pandey - Co-Founder and CTO & Jagane Sundar - Co-founder and CEO, Infinstor Inc3:55 pm - 4:25 pm

Made possible with the help of the following:

Platinum Sponsor

altaml-logo

Gold Sponsors

tenstorrent-logo
datarobot-logo
algorithmia-logo

Silver Sponsors

iguazio-logo
fiddler-logo
datatron-logo
fiddler-logo

Thanks to Our Community Partners

ef-logo
sensibill-logo

EVENT IN NUMBERS

1000+

Attendees

60

Speakers

70

Companies

20+

Workshops

Who
Attends

2020 Event Demographics

%

Currently Working in Industry*

%

Attendees Looking for Solutions