AI for Enterprise Decisioning at Scale with Rob Walker

573

The TWIML AI Podcast
The TWIML AI Podcast
1 min readMay 21, 2022

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About this Episode

Today we’re joined by Rob Walker, VP of decisioning & analytics and GM of one-to-one customer engagement at Pegasystems. Rob, who you might know from his previous appearances on the podcast, joins us to discuss his work on AI and ML in the context of customer engagement and decisioning, the various problems that need to be solved, including solving the “next best” problem. We explore the distinction between the idea of next best action and determining it from a recommender system, how the combination of machine learning and heuristics are currently co-existing in engagements, scaling model evaluation, some of the challenges they’re facing when dealing with problems of responsible AI and how they’re managed. Finally, we spend a few minutes digging into the upcoming PegaWorld conference, and what attendees should anticipate at the event.

To learn more about this episode, or to access the full resource list, visit twimlai.com/go/573

Originally published at https://medium.com on May 16, 2022.

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The TWIML AI Podcast
The TWIML AI Podcast

The TWIML AI Podcast brings the top minds and ideas from the world of ML and AI to a broad and influential community of ML/AI researchers, data scientists, etc.