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    Why Data Science Projects Fail

    Duration: 75 minutes Hosts: Łukasz Frydrych, Data Science Expert/Senior Consultant,
    DS & AI Practice Team     This session is offered as a scheduled group session with our expert.
    Ask for available time slots
    Why Data Science Projects Fail-1
    Why Data Science Projects Fail-2

    What To Expect

    Organizations like yours need to undertake data science projects to realize the business value of their data. However, the sad reality is that up to 85% of projects fail. In this webinar, you’ll understand why this is the case and learn best practices for avoiding common pitfalls.

    Value of Data Science Projects

    Why Data Science Projects Fail

    Best Practices

    Real-Life Examples

    Review why enterprises like yours need to undertake data science projects.

    Take a deeper look at the reasons behind failures in data science projects.

    Avoid common mistakes by adopting best practices and learning industry benchmarks.

    Learn about real-life success stories of successful data science projects.

    Value of Data Science Projects

    Why Data Science Projects Fail

    Review why enterprises like yours need to undertake data science projects.

    Take a deeper look at the reasons behind failures in data science projects.

    Best Practices

    Real-Life Examples

    Avoid common mistakes by adopting best practices and learning industry benchmarks.

    Learn about real-life success stories of successful data science projects.

    Value of Data Science Projects

    Review why enterprises like yours need to undertake data science projects.

    Why Data Science Projects Fail

    Take a deeper look at the reasons behind failures in data science projects.

    Best Practices

    Avoid common mistakes by adopting best practices and learning industry benchmarks.

    Real-Life Examples

    Learn about real-life success stories of successful data science projects.

    Frydrych

    About Our Speaker

    Łukasz Frydrych is a data scientist with several years of hands-on experience in the application of advanced analytics in various industries like consulting, retail, e-commerce, insurance, banking, and finance. He is an experienced analytics translator who is passionate about driving positive business outcomes by tailoring AI solutions to business needs.

    Frydrych

    Ask for available time slots

    Fill in and submit this form to signify your interest. Within two days of registering, a representative will reach out to you to discuss your team’s knowledge needs and provide available time slots for you to choose from.
     

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