Wednesday, October 26
1 :25 PM - 1 :50 PM EST ( 25 mins )
One of the most sought after applications of AI is the automated customer learning they provide by maximizing chat data. This functionality can provide brands with a myriad of solutions for personalization, customer mapping, and prediction capabilities. Even with continued innovation - it is important to consider that chatbots are continuously learning. They may have limited responses or find nuanced decision-making challenging. These challenges require greater transparency of the AI-learning process learning process for chatbots. How do they access the data that feeds their algorithms? In this panel, we’ll consider whether chatbots are asking the right questions and how they process differing responses.
Topics may include:
Michelle Hawley
Editor
SMG
Erik Newton
VP of Marketing
Milestone
Phillip Moad
Product Manager
Westjet
Main Stage
Engage today's top digital customer experience executives.
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