Rev features interactive sessions, Q&A with industry luminaries, poster sessions for interesting modeling techniques and accomplishments, and stimulating conversations about how to make data science an enterprise-grade capability.

Leaders in the data science community present solutions for instrumenting workflows across the business with models. They provide frameworks, innovations, and tangible tips that are applicable to data science teams’ daily lives. Topics span high-level questions like how to best structure your data science team to technical challenges like the best way to integrate open source search engines into predictive analytics workflows.

Who is it for?

Rev is a summit for data science leaders, by data science leaders. People who run data science teams require a space to learn, collaborate, and discuss how to elevate data science’s role in organizations. Attendees include data science leaders and their teams, within organizations of all sizes and industries, from high-tech to non-profit.

What to expect

You will learn:

  • Specific steps the world’s leading model-driven organizations took to elevate data science internally

  • Best practices, methodologies and technologies for amplifying collaboration across a team of code-first data scientists

  • How to develop a mature, sustainable data science practice whose impacts are tangible to the business

You will get:

  • Actionable artifacts you can take back to work and use, like a hiring plan to grow a high-functioning team or a concrete project plan your team can use to tackle a specific use case

  • Valuable connections with mentors and peers who are paving the way for data science in the community

Meet and collaborate with:

  • Leaders across industries who share a common belief that data science is (or can be) a key differentiator

  • Leaders on the path to materialize the business impact of data science

  • Tomorrow’s chief data scientists who spend their time hands-on-keyboard, leading from the front

Featured sessions

Building on the success of the Data Science Pop-ups, Rev offers an expanded agenda that caters to data science teams and their leaders, fostering greater networking, deeper content around data science strategy and operationalization, and more technical sessions.

  • Day 1

    The morning will kick off at 9:00 a.m. with keynotes from Daniel Kahneman, Michelle Ufford, and Paco Nathan.

    The afternoon will break into three tracks:

    1. Leadership – for those managing data science teams today;

    2. Practitioners – for code-first data scientists looking to build out new capabilities; and

    3. “Ask Me Anything” – where attendees can meet and muse with industry luminaries.

    The day will conclude with a keynote from Slack’s Josh Wills, ending around 5:00 p.m., followed by a rousing “Data Science in the Senses” party.

    • Leadership Track Featured Speaker

      Jai Ranganathan, VP of Product, Keep Truckin

    • Practitioners Track Featured Speaker

      Marck Vaisman, Technology Solutions, Data and AI, Microsoft

  • Day 2

    The morning will start at 9:00 a.m. with keynotes from industry luminaries including Nike’s Tom Kornegay.

    The afternoon will break into three tracks:

    1. Leadership – offering best practices for operationalizing data science as an enterprise-grade capability;

    2. Practitioners – technical sessions for teams and practitioners; or

    3. Case studies – showcasing interesting use cases, accomplishments, and lessons learned in the process.

    The day will conclude by 3:30 p.m., just in time to kick off Memorial Day Weekend festivities.

    • Leadership Track Featured Speaker

      Haile Owusu, SVP of Analytics, Decisions and Data Sciences, Turner Broadcasting System

    • Practitioners Track Featured Speaker

      Ron Bodkin, Technical Director, Applied AI, Google

Rev 2 will be held at Marriott Marquis, New York City.