On Demand Webinar

Automating AI in the Data-Driven Enterprise Webinar


Artificial intelligence (AI) and machine learning (ML) are exciting, growing in adoption and more applicable to business contexts than ever before. The problem is, a lot of AI/ML work to date has relied upon rare and expensive data scientists. These practitioners take data sets, then experiment with different frameworks, algorithms and parameter values to create the best predictive models possible. This bespoke approach can be fascinating, but it just won’t scale sufficiently to bring AI and ML into the Enterprise mainstream.

Why perpetuate an AI process that is so manual when heuristics – and even ML itself – can help automate data cleansing, algorithm selection and parameter tuning?  Yes, AI automation can help organizations without data scientists do AI and ML. But beyond that, even orgs with strong data science teams can use AI automation to remove tedium from, and increase accuracy in, their work.  It’s win-win, even if it removes some of AI’s mystique.

Want to learn more about automating AI, and making it actionable and accessible to all your data workers?  Join us for this free 1-hour webinar from GigaOm Research. The webinar features GigaOm analyst Andrew Brust with Kurt Muehmel, VP of Sales Engineering at Dataiku, a leader in AI for the Enterprise.

In this 1-hour webinar, you will discover:

  • Why bespoke AI work is fast becoming unsustainable
  • The science and power behind automated machine learning (AutoML)
  • How to leverage AI automation while combating bias, drift and other AI/ML pitfalls

Register now to join GigaOm Research and Dataiku for this free expert webinar.

Who Should Attend:

  • CIOs
  • CTOs
  • Chief Data Officers
  • Data Scientists
  • Business Analysts
  • Developers
  • Digital transformation specialists

Register To Watch Now


GigaOm needs the contact information you provide to us to contact you about our products and services. You may unsubscribe from these communications at any time. For information on how to unsubscribe, as well as our privacy practices and commitment to protecting your privacy, please review our Privacy Policy.