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    Domino Partner Exec Briefing | Nexus Hybrid and Multi-cloud MLOps

    October 20th, 2022

    8:00am PDT / 11:00am EDT

    Help Clients Scale Seamless Data Science In Every Region and Environment

    Hear from Domino Data Lab's leaders on why hybrid is the next frontier of data science, and what ecosystem opportunities exist within Domino Partner Network.

    The cloud computing revolution has helped democratize machine learning (ML) by making it easy to access compute. But as datasets grow exponentially, and training time grows with computationally heavy ML models, cloud computing alone is no longer effective as a singular infrastructure. Hybrid AI/ML infrastructure offers an equilibrium, breaking down silos between environments to run data science workloads where they make the most sense based on use case, cost, performance, and regulation. 

    Domino recently announced our Nexus Hybrid Enterprise MLOps architecture, enabling a holistic view of data science activity across all regions and environments. Join this interactive session featuring the following experts from Domino Data Lab: Nick Elprin, CEO and Co-founder; Thomas Robinson, VP of Strategic Partnerships and Corporate Development, and Yeshwant Babar, Product Manager, Domino Nexus.

    Save your spot

    What's in store for you

    Welcome and introductions

    Get to know the speakers and set the stage for a productive conversation.

    Ecosystem Update

    Learn about Domino Partner Network growth and partnership opportunities

    Hybrid/Multi-cloud Opportunity

    Industry experts explain why hybrid is the next frontier for data science.

    Domino Nexus Demo

    See Hybrid/Multi-cloud MLOps in action.

    Meet the speakers


    Nick Elprin, CEO and Co-Founder | Domino Data Lab

    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, Ford, Dell, and Verizon.  

    Before starting Domino, Nick built tools for quantitative researchers at Bridgewater, one of the world’s largest hedge funds. He has over a decade of experience working with data scientists at advanced enterprises. He holds a B.A. and an M.S. in computer science from Harvard University.



    Thomas Robinson, VP of Strategic Partnerships and Corporate Development | Domino Data Lab

    Thomas Robinson is VP of strategic partnerships and corporate development at Domino, where he's responsible for building Domino's partner ecosystem, developing offerings providing differentiated value to partners. He previously acted as Domino's chief people officer, responsible for building an organization to unleash data science to address the world's most important challenges.

    Prior to Domino, Thomas worked at Bridgewater Associates, driving strategic transformation efforts, first as a director in Bridgewater's Core Technology Department to define the next generation of enterprise architecture, and then as a general manager focused on recruiting and retaining technical talent.

    Andrea Lowe

    Andrea Lowe, Ph.D., Customer Success Engineer | Domino Data Lab

    Andrea Lowe, Ph.D., is a customer success engineer at Domino Data Lab. She has 7+ years of laboratory experience in biological and biomedical labs, including project collaborations with both industry and government programming in R, Python, and MATLAB. 

    Prior to customer success, Andrea was the Training & Enablement Engineer at Domino Data Lab, having trained over 1000 data scientists and analysts on topics including overviews of coding in Python, ML, Kubernetes, and AWS.