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EPISODE NOTES
On this episode, Ankur Mehrotra dives deep into Amazon Personalize, a fully managed machine learning service that goes beyond static, rule-based recommendation systems and trains, tunes, and deploys custom ML models. Ankur explains how it allows for delivery of highly customized recommendations to customers across industries, how Personalize can drive meaningful business results, and much more.
“Consumer habits are changing and the way they're engaging with different businesses are changing. We're seeing the need for personalization or the need for creating better user experiences in digital channels increase and we've seen that happen across different verticals." - Ankur Mehrotra
Time Stamps
- (04:31) Metrics for customers on AWS and how Amazon Personalize can impact their business
- (12:46) How personalization can directly impact business output
- (13:42) Measuring relevance cycle time with Amazon Personalize
- (16:34) Three pieces of advice to customers as they're getting started with Amazon Personalize
- (18:31) How to think about quantum of data
- (22:11) Recommendations to avoid cost overruns while using Amazon Personalize
- (26:36) Success stories with Amazon Personalize
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