Atlanta Business Intelligence Group

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Storytelling for Machine Learning and Advanced Analytics (sponsor Data Robot)

  • In-Person @ 8000 Avalon Boulevard Alpharetta, Georgia, United States (map)
  • 18:30 - 20:30 (UTC-05:00) Eastern Time (US & Canada)
  • Language: English

Sponsor Data Robot (via Jen Underwood)

Featured Presentation:

Storytelling for Machine Learning and Advanced Analytics

Jen Underwood, Founder Impact Analytix

Storytelling and depiction of information has existed for hundreds of years in various forms and formats. In today’s era of artificial intelligence and machine-assisted analytics, accurately interpreting and effectively communicating findings is becoming a crucial skill to bridge the growing data literacy gap. To help decision makers get the most value from analytics projects to drive better outcomes, you need to help them make sense of the results. Machine learning and advanced analytics can be difficult to understand and explain. Describing the problem, the model, the relationships among variables and the findings are often subtle, surprising and technically complex. Effectively translating quantitative insights and telling a compelling story requires planning, compelling design, and visualization choices. Successful analytical communicators don’t wait until the end of the analysis but rather use the entire process as a vehicle to communicate with stakeholders. Please join me in this session to learn the essence of storytelling for advanced analytics.

About Jen:
Jen Underwood, founder of Impact Analytix, LLC, has over 20 years of “hands-on” development of reporting, visualization and advanced analytics solutions. In addition to keeping a constant pulse on industry trends, she enjoys digging into oceans of data. Jen is honored to be an IBM Analytics Insider, SAS contributor, former Tableau Zen Master, and active analytics community member. 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.

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