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Effectively communicating the value of artificial intelligence insights

In today’s era of artificial intelligence (AI) and machine-assisted analytics, data analysts are crucial for bridging the growing data literacy gap. Successful analytical communicators don’t wait until the end of their analysis to communicate insights. Accurately defining projects, understanding what to data to use, preventing bias, and interpreting and effectively communicating findings are all important skills for helping stakeholders understand results and get the most actionable value from automated machine learning projects.

In this webinar, Jen Underwood of DataRobot will walk through the best way to communicate the value of automated machine learning results with trustworthy visualizations throughout the entire analytical process, from use case definition to insight implementation.

Watch this webinar and learn about how to:

  • Quickly and easily build and deploy accurate predictive models
  • Plan, design, and visualize AI stories
  • Effectively translate AI insights using DataRobot and Tableau

À propos des intervenants

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Jen Underwood

Senior Director, DataRobot

Over the past 20 years, Jen has held worldwide product management roles and served as a technical lead for system implementation firms. In addition to keeping a constant pulse on industry trends, she enjoys digging into oceans of data to solve complex problems with machine learning.

Jen has a Bachelor of Business Administration – Marketing, Cum Laude from the University of Wisconsin, Milwaukee and a post-graduate certificate in Computer Science – Data Mining from the University of California, San Diego. She was also honored to be a former Tableau Zen Master and Top 10 Women in Analytics Influencer.

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Mary Grace Glascott

Senior Product Marketing Manager, Tableau

Mary Grace is a Senior Manager in Tableau’s Product Marketing group, focused on the company’s technology partnerships. She’s spent the last 8 years focused on B2B enterprise software, where she led product marketing, content marketing, and analyst relations at technology companies including Narrative Science and IBM.

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