Save the Date! Rev 3 Returns This May in New York!
By Domino2022-02-084 min read
We are thrilled to once again gather together in-person at Rev 3 - THE can’t miss Enterprise MLOps Summit of the year!
May 4-6, 2022 at the Marriott Marquis, New York, NY.
This promises to be the most ambitious Enterprise MLOps Summit yet. And, registration is open now with the best deals, so you can guarantee you and your team don’t miss out on this seminal experience. Register today!
Rev 3 brings together data science and IT leaders and their teams to share both strategic and practical insights on best practices in MLOps in order to drive progress within their organizations.
Plan for an unprecedented three days of insights and learning all focusing on building a continuous learning machine.
Focus on Continuous Learning
The power of models is their ability to continuously learn: as data changes the model improves. This year Rev looks at how to build that continuous learning into your models, your teams, and your lives. Starting with an outstanding lineup of not-to-be-missed keynote speakers:
- James Clear, bestselling author and personal development coach. Clear will speak about “Atomic Habits.”
- Mike Hayes, Chief Digital Transformation Officer, VMware. “Never Enough: A Navy SEAL Commander on Living a Life of Excellence, Agility, and Meaning.”
- Jennifer Doudna, Ph.D., 2020 Nobel Prize winner, Professor of molecular and cell biology and chemistry at the University of California, Berkeley.
- Linda Avery, Senior Vice President, Chief Data & Analytics Officer, Verizon
Education for Data Science Teams
These inspiring speakers are just a hint of what Rev 3 offers. Packed full of training, practical insights, learning, and networking, the agenda will follow three distinct tracks:
Data Science Management - Winning transformational strategies, the art of hiring and building teams, creating cross-functional collaboration, and enabling data scientists.
Model-Driven Businesses - Applications of data science, machine learning and MLOps supporting organizational strategy, operational efficiency and significant business value.
MLOps Tips, Tools, and Techniques - Techniques, tools, and advice across the entire MLOps lifecycle from exploration and experimentation to deployment and monitoring.
Register now to get the best deals and ensure your team is immersed in all of these unparalleled learnings.
A Must for Data Science Leaders
As you can tell, we are excited for the most significant Rev yet. It’s the only summit to delve into the unique challenges of data science leadership and how machine learning and Enterprise MLOps support organizational strategy, operational efficiency and significant business value. You’ll learn critical insights about how you can make your data science team more productive, increase governance and security, accelerate model velocity, and other topics across the data science lifecycle.
...and it’s all happening entirely in person.
Rev 3 is THE event you want to attend if Enterprise MLOps is your responsibility to lead your business to data science success.
Don’t miss out on the event of the year. Sign up now, lock in your space, AND save (it pays to be an early bird)!
To delve deeper into additional speakers and sessions, our Rev 3 website is now live with full details on the detailed agenda, speakers, conference tracks, FAQs, location logistics, and up-to-date health and safety details.
Sponsors have the opportunity to be front and center with Global 2000 enterprises, their supporting partners, industry leaders, and data scientists.
Finally, a note on keeping your health and safety a priority. Rest assured we are committed to an engaging and safe in-person event. Rev 3 will follow all up-to-the-minute CDC and local New York guidance.
See you this May in the Big Apple!
Domino powers model-driven businesses with its leading Enterprise MLOps platform that accelerates the development and deployment of data science work while increasing collaboration and governance. More than 20 percent of the Fortune 100 count on Domino to help scale data science, turning it into a competitive advantage. Founded in 2013, Domino is backed by Sequoia Capital and other leading investors.
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