On this episode we're showcasing the journey of Epsilon Digital Marketing - a global leader in outcome-based marketing, helping the world's top brands personalize experiences for millions of people.
Get a behind-the-scenes look at developing a distributed system to rapidly categorize massive product datasets across clients with services like Amazon EMR, and Amazon Bedrock. Hear about their iterative process enhancing the AI models, improving throughput, upskilling on modern architectures, and fusing marketing domain expertise with AWS's technical capabilities - all while delivering highly personalized ad experiences at epic scale with privacy-by-design.
Chapters:
00:00 - Introduction
01:08 - Epsilon Digital Marketing's business of serving personalized ads at massive scale
03:48 - Epsilon's complex legacy technology landscape
06:56 - How Epsilon partnered with AWS Prototyping team
09:56 - The three core taxonomy processes modernized
12:09 - The two-step prototyping approach: understanding legacy first, then applying generative AI
15:02 - Benefits of generative AI reducing manual taxonomy work
18:45 - The importance of "privacy by design" principles at Epsilon
22:05 - Overcoming obstacles and learnings during the prototype project
29:28 - AWS prototyping is hiring!
Interested in joining AWS? The AWS Prototyping team is currently hiring for the following roles:
1. Applied Scientist:
2. Sr. AI/ML Prototyping Solutions Architect:
3. Sr. Prototyping Solutions Architect:
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2024/09/13
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