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On-Demand Webinar

The Art of Storytelling for AI and Machine Learning

In today’s era of artificial intelligence (AI) and machine-assisted analytics, business 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 will walk through the best way to communicate the value of automated machine learning results with visualizations throughout the entire analytical process, from use case definition to insight implementation.

You’ll learn:

  • How to define a business use case for machine learning and AI storytelling
  • The process of planning, designing, and visualizing AI stories using tools like DataRobot, Tableau, Qlik, and PowerBI
  • How to effectively translate quantitative insights and tell a compelling story throughout the complete analytical project lifecycle


Jen Underwood
Jen Underwood

Senior Director of Product Marketing, DataRobot

  • DataRobot's platform makes my work exciting, my job fun, and the results more accurate and timely – it's almost like magic!
    Omair Tariq
    Omair Tariq

    Data Analyst, Symphony Post Acute Network

  • I think we need to take it upon ourselves in the industry to build the predictive models that understand what the needs and wants of our customers are, and go through the whole curation process, become their concierge.
    Oliver Rees
    Oliver Rees

    General Manager – Torque Data at Virgin Australia

  • At LendingTree, we recognize that data is at the core of our business strategy to deliver an exceptional, personalized customer experience. DataRobot transforms the economics of extracting value from this resource.
    Akshay Tandon
    Akshay Tandon

    VP of Strategy Analytics, LendingTree

  • We know part of the science and the heavy lifting are intrinsic to the DataRobot technology. Prior to working with DataRobot, the modeling process was more hands-on. Now, the platform has optimized and automated many of the steps, while still leaving us in full control. Without DataRobot, we would need to add two full-time staffers to replace what DataRobot delivers.
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