Did you know that the same ML-models that power Amazon's recommendation engine can be used to improve your customer retention rate and increase LTV?

Join us on January 17th to learn how to implement real-time personalization and recommendations - without a team of data scientists.

You'll leave understanding how to capture user data, implement Amazon’s proprietary search and recommendation algorithms, and activate user recommendations within your product using Twilio Segment.
  • Explore how to collect and analyze data from multiple customer touch-points such as web, mobile, and in-store PoS
  • Learn how to train and validate a machine learning model using Amazon Personalize
  • Deploy the Personalize model and use it alongside Twilio Segment to make product and search result recommendations to customers
Safdar Jaffari
Partner Solutions Engineer
Twilio Segment
George Wolf
Senior Partner Solutions Architect
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