Learnings from creating recommendation engines with Amazon Personalize

Personalisation is one of our key strategic focus areas in the next years. And Christian, AWS Solution Architect at DFL Digital Sports GmbH, is happy to see the fruits of the first year in a lot of their products for the Bundesliga.

⚽ Starting with providing recommended articles in the official Bundesliga App to all of their fans.
🤝 Followed by introducing recommended media content for their media and license partners within their international product portfolio.
⭐ And finally a new star is born. The Bundesliga Next app is shipped with a 100% personalized Tik-Tok-like home feed to all of their fans.

All three recommendation engines are built upon Amazon Personalize from Amazon Web Services. Christian wants to share some insights about his personal learnings on both technical and organisational level when building AI/ML based recommendation engines using Amazon Personalize.

He will cover some aspects like the difference of a typical software development process compared to a machine learning development process. He will also dive deeper into the engine room of Amazon Personalize and explain why KPI definition and A/B testing is key to success.

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