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Awesome sessions to inspire and accelerate your data science career

This year, Rev focuses on how enterprises can unleash breakthrough innovations through easier access to infrastructure, better collaboration across teams, and faster model learning and iteration.

Our agenda is split into three tracks:

  • Data Science Management: Best practices to manage and scale data science teams, processes, and culture.
  • The Future of Model-Driven Businesses: Discussing the impact of being model driven in your organization.
  • MLOps Applied: Tips, tricks, helpful hints, and best practices to accelerate your day to day data science work.

Wednesday, May 4th 

Domino customers are invited for in-depth training sessions on Wednesday, May 4 before the full conference kicks off the next day. All guests are invited to the welcome reception after trainings.

11:00am - 2:00pm: Introduction to Domino for Practitioners

Learn about the end-to-end data science lifecycle within Domino. See how to connect to data sources and integrate with Git repositories, work with large data, and develop your model in an interactive environment with easy access to the tools you prefer. Then, deploy the model using a model API, set up automated monitoring, create scheduled reports, and host an interactive dashboard. Lastly, learn how to work with Domino programmatically.

2:30pm - 4:45pm: Domino Administration Certification

Learn how to effectively manage both the Kubernetes cluster that runs Domino and the Domino platform itself to enable your team to do their best work. This course covers optimizing Domino to balance cost savings while ensuring optimal performance for your data scientists. You'll also pick up tips on troubleshooting, configuration, and managing resources.

2:30pm - 4:45pm: Advanced Data Science in Domino

The Advanced Data Science course covers advanced techniques using the Domino platform. We begin with how to add distributed computing environments to your workflow and how to execute deep learning on the Domino platform. In addition, we cover optimizing GPU usage, Best Practices for computing environments (Docker Best Practices), and advanced Git integration.

4:00pm – 7:00pm: Registration

4:45pm – 6:00pm: Welcome Reception

Thursday, May 5

After kicking off with inspiring keynote speakers, customize your Rev experience with three session tracks: MLOps AppliedData Science Management, and The Future of Model-Driven Businesses.

8:00am - 4:45pm: Registration

8:00am - 9:00am: Breakfast

9:00am - 11:00am: General Session

  • Mike Hayes, Chief Digital Transformation Officer, VMWare and former Commanding Officer for SEAL Team TWO
  • Nick Elprin, CEO & Co-founder, Domino Data Lab 
  • Linda Avery, Chief Data & Analytics Officer, Verizon

11:00am - 11:15am: Transitional Break

11:15am - 12:00pm: Breakouts

Breakout 1

Skills for the Future: Creating an Analytics-Driven Workforce

Breakout 2

Ways to Win the Data Science Talent Race

Breakout 3

Bayer's Data Science Journey: Driving Transformation By Evolving People, Processes, and Technology

Breakout 4

Cross-Functional Collaboration: Orchestrating IT, Data Science & Business Partner Engagement

Breakout 5

How to Use New Jupyter  Tools in Production Environments

12:00pm - 1:30pm: Lunch

12:30pm - 1:15pm: Breakout

Breakout 4

Lessons Learned for AI Data Management at Scale (Presented by NetApp)

1:30pm - 2:15pm: Breakouts

Breakout 1

Data Scientists and C-Suiters: Is Your AI Breaking the Law?

Breakout 2

Scaling to Multi-Node AI: The Future of Distributed Computing in Data Science?

Breakout 3

The Data Collaboration Stack: From DataOps to MLOps

Breakout 4

Healthcare Delivery in a Model-Driven World

Breakout 5

Solving Enterprise Data Challenges with Apache Arrow: How to Mitigate Risks and Boost Time-to-Value

2:15pm - 2:30pm: Transitional Break

2:30pm - 3:15pm: Breakouts

Breakout 1

Financial Time-Series Modeling: A Data-Driven Machine-Learning Technique

Breakout 2

Transforming Drug Discovery with MLOps

Breakout 3

How 'Explainable' Is Your AI? A Real-World Evaluation

Breakout 4

Navigating the Ethics Minefield: Building Legal, Ethical AIs

Breakout 5

Buy AI Services or Roll Your Own? Decision Criteria, Hybrid Strategies, and Execution Tips

3:15pm - 3:30pm: Transitional Break

3:30pm - 4:45pm: General Session

  • Dr. Jennifer Doudna, Nobel Prize Winner and Professor, University of California at Berkeley
     

4:45pm - 7:00pm: Rev 3 Reconnect

Friday, May 6

Start the morning with more inspiring keynotes, continue the learning on your chosen track sessions, and wrap up the Rev experience with a must-see presentation from Atomic Habits author James Clear.

8:00am - 3:30pm: Registration

8:00am - 9:00am: Breakfast

9:00am - 10:45am: General Session

  • Cassie Kozyrkov, Chief Decision Scientist, Google
  • Cass Sunstein, NYT Best-selling Author and Professor, Harvard Law School
  • Jim Swanson, EVP & Enterprise Chief Information Officer, Johnson & Johnson

10:45am - 11:15am: Transitional Break

11:15am - 12:00pm: Breakouts

Breakout 1

It's in the Data! How Improving ML Datasets Is The Best Way To Improve Model Performance

Breakout 2

Where is the Next Frontier in Model-Driven Businesses?

Breakout 3

How New Types of Data are Unlocking Business Opportunities

Breakout 4

How Data Science is Changing the Defense Industry

Breakout 5

"Scaling AI Enabled Digital Transformation in Healthcare & Life Sciences Industry "

12:00pm - 1:30pm: Lunch

12:30pm - 1:15pm: Breakout

Breakout 2

Cure Quest: The Impact of Data Science Models on Next-gen Life Science Product Development

Breakout 3

Domino Data Lab Live Demo

Breakout 4

The 7 Things You Need to Get Right When Operationalizing AI (Presented by NVIDIA)

1:30pm - 2:15pm: Breakouts

Breakout 1

Is Synthetic Data the Key to Better Enterprise ML & Software Testing?

Breakout 2

How Data Science is Reshaping the Insurance Industry

Breakout 3

When Good Models Go Bad: How to Monitor Effectively for Better Real-World Performance

Breakout 4

Why Data Science Isn't Rocket Science--It's Harder! Learnings from Lockheed Martin

Breakout 5

The Untapped Potential of Vector Embeddings to Power Great ML Products

2:15pm - 2:30pm: Transitional Break

2:30pm - 3:30pm: General Session

  • James Clear, NYT Best-selling Author of "Atomic Habits"

Filter Sessions by Track

Wednesday @ 11:00 AM

Introduction to Domino for Practitioners

Domino Training

Wednesday @ 02:30 PM

Domino Administration Certification

Domino Training

Wednesday @ 02:30 PM

Advanced Data Science in Domino

Domino Training

Thursday @ 11:15 AM

Cross-functional Collaboration to Make Data Science Sing: Connecting the Dots with your IT, Data Science & Business Partners

Data Science Management

Thursday @ 11:15 AM

Skills for the future: Creating an Analytics-driven Workforce

Data Science Management

Thursday @ 11:15 AM

Bayer's Data Science Journey - Driving Transformation by Evolving People, Processes, and Technology

The Future of Model-Driven Business

Thursday @ 11:15 AM

Winning the Data Science Talent Race

Data Science Management

Thursday @ 11:15 AM

How to Use New Jupyter Tools in Production Environments

MLOps Applied

Thursday @ 12:30 PM

Lessons Learned for AI Data Management at Scale (Presented by NetApp)

Data Science Management

Thursday @ 01:30 PM

Scaling to Multi-Node AI: The Future of Distributed Computing in Data Science?

MLOps Applied

Thursday @ 01:30 PM

Solving Enterprise Data Challenges with Apache Arrow

MLOps Applied

Thursday @ 01:30 PM

The Data Collaboration Stack: From DataOps to MLOps

MLOps Applied

Thursday @ 01:30 PM

Data Scientists and C-Suiters: Is Your AI Breaking the Law?

Data Science Management

Thursday @ 01:30 PM

Healthcare Delivery in a Model-Driven World

The Future of Model-Driven Business

Thursday @ 02:30 PM

Buy AI Services or Build Your Own? Decision Criteria, Hybrid Strategies, and Execution Tips

Data Science Management

Thursday @ 02:30 PM

Cure Quest: The Impact of Data Science Models on the Next Generation of Life Science Product Development

The Future of Model-Driven Business

Thursday @ 02:30 PM

Navigating the Ethics Minefield: Building Legal, Ethical AIs

Data Science Management

Thursday @ 02:30 PM

How 'Explainable' Is Your AI-driven Image Analysis? A Real-world Evaluation

MLOps Applied

Thursday @ 02:30 PM

Financial Time-series Modeling: A Data-driven Machine-Learning Technique

MLOps Applied

Thursday @ 02:30 PM

Transforming drug discovery with MLOps

Data Science Management

Friday @ 11:15 AM

Scaling AI enabled Digital Transformation in Healthcare & Life Sciences Industry

The Future of Model-Driven Business

Friday @ 11:15 AM

How to Unlock Exciting Business Opportunities Using New Data Sources

The Future of Model-Driven Business

Friday @ 11:15 AM

Where is the Next Frontier in Model-driven Businesses?

The Future of Model-Driven Business

Friday @ 11:15 AM

It's in the Data! How Improving ML Datasets Is The Best Way To Improve Model Performance

MLOps Applied

Friday @ 11:15 AM

How Is Machine Learning Transforming Defense?

The Future of Model-Driven Business

Friday @ 12:30 PM

The 7 Things You Need to Get Right When Operationalizing AI (Presented by NVIDIA)

Data Science Management

Friday @ 01:30 PM

How Data Science is Reshaping the Insurance Industry

The Future of Model-Driven Business

Friday @ 01:30 PM

The Untapped Potential of Vector Embeddings

MLOps Applied

Friday @ 01:30 PM

Why Data Science Isn't Rocket Science--It's Harder! Learnings from Lockheed Martin

Data Science Management

Friday @ 01:30 PM

Is Synthetic Data the Key to Better Enterprise ML & Software Testing?

MLOps Applied

Friday @ 01:30 PM

When Good Models Go Bad: How to Monitor Effectively for Better Real-world Performance

MLOps Applied