Live Webinar

Making AI Routine, Repeatable and Reliable

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While interest in Machine Learning/Artificial Intelligence/ (ML/AI) has never been higher, the number of companies deploying it is only a subset, and successful implementations a smaller proportion still. The problem isn’t the technology; that part is working great. But the mere presence and provision of tools, algorithms, and frameworks aren’t enough. What’s missing is the attitude, appreciation, and approach necessary to drive adoption and working solutions.

To learn more, join us for this free 1-hour webinar from GigaOm Research. The webinar features GigaOm analyst Andrew Brust and panelists Jen Stirrup, Lillian Pierson, and special guest from Cloudera Fast Forward Labs, Alice Albrecht. Our panel members are seasoned veterans in the database and analytics consulting world, each with a track record of successful implementations. They’ll explain how to go beyond the fascination phase of new technology towards the battened down methodologies necessary to build bulletproof solutions that work for real enterprise customers.

In this 1-hour webinar, you will learn all about:

  • Operationalizing/industrializing AI
  • Getting ML out of the lab and into production
  • Bridging gaps between academia/research and industry, bi-directionally
  • Removing AI’s allure, and making it more routine
  • Moving beyond ML/AI tools and platforms to strategy, services and practices

Who Should Attend:

  • CIOs
  • CTOs
  • Chief Data Officers
  • VPs of Data Science & Data Engineering
  • Directors of Data Science & Data Engineering
  • Digital transformation leaders
  • Data Scientists
  • Data Engineers
  • Developers
  • Business Analysts
  • Business Intelligence Architects
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