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Join the waiting list: Fixing the 7 Dysfunctions of Personalization Engines
We’re building a new product which will be released soon that fixes the 7 dysfunctions of personalization engines presented at DevCon (
https://youtu.be/8mXRV1xN5uI
) and on our blog (
https://www.algolia.com/blog/ai/the-7-dysfunctions-of-personalization-engines/
).
If you’re interested in getting early access, please sign up below.
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What are the biggest problems you encountered when building personalized end-user experiences?
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Respect user privacy
Real-time support
Data quality
Cold-start
User identity reconciliation (session unification)
Blending different data sources
Accurate prediction of user intents
API-first // Composable
Transparently exposing & explaining ML model performance metrics
Measuring business KPIs // ROI of Personalization Engine
Ethical usage of AI/ML technology
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