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Unit8 Talks #12 – Six Considerations when designing a Data Science Platform

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Investing in a data science platform is a natural step on the data & AI journey. Many companies want to leverage the full potential of data science, but they often struggle with managing the current portfolio of projects, limited compute resources, lack of governance or the inability to productionize models.

The market offers a large portfolio of products that promise out-of-the box solutions to all those problems, but how do you decide which one to choose?

Build vs buy, on-prem vs hybrid vs cloud native, vendor product vs open source.

These are just some of the questions that you need to ask yourself before designing the right solution.

In this webinar we will introduce 6 consideration that will help you navigate the complex landscape of Data Science Platforms.

Who should watch?

  • Data scientists
  • Data engineers
  • DevOps
  • MLOps Engineers
  • Managers in Data Analytics Space
  • Heads of Platforms

Watch this webinar to:

  • understand why having a Data Science platform can help address some of the scaling issues of your data science practice
  • discover the growing landscape of Data Science Platforms available on the market
  • get to know the design considerations you need to think about prior to investing in a platform
  • learn about our best practices coming from multiple DS platform implementations

The session was delivered by Tomasz Chudzik, Unit8’s Engagement Director & Lead Solution Architect and Marek Pasieka Unit8’s Engagement Director & Senior Big Data Engineer and Matthias Falk – Cloud Engineer

Contact us to get started on your data and AI journey

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