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Making personalized recommendations using ecosystem.Ai

A practical demonstration with a technology and architecture focus

During this session, participants will understand how to use our AI software to create a real-time recommender that delivers personalized recommendations to users based on their behavior and preferences.
Our software uses advanced machine learning algorithms, including Bayesian exploration, to optimize recommendations in real-time.
The session will be led by experienced practitioners in the field who will share practical examples and case studies that illustrate the effectiveness of our AI software in building real-time recommenders.
Participants will have the opportunity to ask questions and get expert advice on how to implement our software in their own projects.
By attending this session, participants will gain practical knowledge and insights into how to create a real-time recommender with our AI software.

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