More and more companies are embracing data science with the promise that AI and machine learning will transform their business, personalize their products and services, and create more innovation. However, the reality is that data science projects are complex and many fail to produce the promised results.

This webinar will explore the 6 critical factors for successfully launching a data science practice. Highlights include how to:

  • Provide fast and easy access to data
  • Gain secure access to third-party data sets
  • Build efficient data pipelines
  • Select the right machine learning tools, frameworks, and libraries
  • Embed data science into BI dashboards and reports
  • Structure your data science team
  • Kristen Werner

    Director of Data Science and Engineering, Snowflake

  • Mike Klaczynski

    Director of Product Marketing, Snowflake