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Agile AI: Bridging the Gap Between Product Management and Data Science

May 23, 2017


Session Time and Date

Tuesday, May 23rd from 3pm – 4pm CDT


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Presentation Description

The world is at an amazing crossroad where new advances in machine learning and artificial intelligence are opening up new possibilities for intelligent products and functionality across nearly every industry. While there is immense opportunity and upside for software product teams that wish to incorporate artificial intelligence into their offerings, many active data science initiatives are falling flat of inflated expectations — primarily because of the widening gap between research and industry practice.

In this talk, we will cover emerging best practices and techniques that software product teams can utilize to ensure they are maximizing their organization’s investment in AI. In particular, we will cover:

  • Methods for aligning data science activities against product roadmap by effectively structuring research deliverables against measurable and impactful product functionality.
  • Techniques to get product managers and data scientists to collaborate effectively using tools such as the Machine Learning Canvas to guide planning.
  • How to coalesce that collaboration into realistic machine intelligence product milestones and roadmaps.


Primary Speaker First Name
Primary Speaker Last Name
Primary Speaker Bio
Garrett is a practicing data scientist and serial entrepreneur working at the intersection of Artificial Intelligence and Digital Commerce. He is an active researcher and advisor in the area of consumer behavior analytics and speaks regularly on topics ranging from ecommerce data science to product management best practices. Currently, he is the Chief Data Scientist at Edgecase where he leads the organization’s research activities in areas such as applied machine learning, natural language processing and predictive analytics. In addition to founding Edgecase more than 5 years ago, he has spent nearly a decade working exclusively with enterprise ecommerce clients at leading retail technology organizations - such as Bazaarvoice and RetailMeNot - focused primarily on understanding consumer purchase behavior. During that time, he has focused his work on new web analytics measurement methodologies and technologies that have led to breakthrough insights into customer behavior for the world’s leading retail brands, such as Crate & Barrel, Staples, HSN, Travelocity, Neiman Marcus, Walgreens, Pier1 Imports, Columbia, Bed Bath & Beyond, Men’s Wearhouse, and Sur la Table. Outside of his professional ventures and research activities, he is very passionate about helping business’ bridge the gap between product management and data science. Working often as a consultant or advisor, he helps growing software product organizations define their machine intelligence investment roadmap and works with their teams to craft and execute against realistic product development milestones as they add intelligence to existing and new product offerings.
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