Nearly every company today is working to embed machine learning models into their business processes. Why? Models unlock more informed decisioning, greater scalability, and improved performance across limitless applications.
For data science teams struggling with inflexible infrastructure, difficult data access, or inefficient model management, Domino 5.0 is a game-changer.
Watch the full event replay to see why.
Atul Gawande has become one of the most influential healthcare voices in the world. Atul is a surgeon at Brigham and Women's Hospital, a professor at both Harvard Medical School and the T.H. Chan School of Public Health, and a best-selling author.
Atul sat down with Domino Data Lab Co-founder Matthew Granade to discuss building a culture of continuous improvement and maintaining a record of best practices.
Nick Elprin is the CEO and co-founder of Domino Data Lab, provider of the Enterprise MLOps platform that powers model-driven companies such as J&J, Lockheed Martin, Ford, and Verizon. Nick connected the lessons of Atul Gawande and Najat Khan to data science and the concept of accelerating model velocity—achieving near-continuous performance improvement in a model-driven business.
Nick was joined by Josh Poduska, Domino's Chief Data Scientist, to reveal Domino 5.0, a major step forward in our mission to help businesses unleash the power of data science.
Najat Khan serves as Global Head of Janssen R&D Strategy & Operations and co-leads the cross-sector Johnson & Johnson Data Science Council. She is also responsible for identifying and executing high-impact initiatives across Discovery and Development.
Najat Khan and Domino’s VP of Strategic Partnerships and Corporate Development, Thomas Robinson, discussed her work at J&J, scaling data science in large organizations, and the technology that makes it possible.
Domino's Enterprise MLOps platform accelerates the end-to-end data science lifecycle, unleashing model velocity to grow revenue, improve the customer experience, and outcompete your peers.
Rev is an epic summit that happens just once a year, where movers and shakers in data science and MLOps gather for three days of unparalleled learning.