customer-centric
Calendar of Events
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Making customerized recommendations using ecosystem.Ai. Understanding how to use and adjust the Ecosystem Rewards algorithm to make customerized recommendations
Making customerized recommendations using ecosystem.Ai. Understanding how to use and adjust the Ecosystem Rewards algorithm to make customerized recommendations
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.
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Making customerized recommendations using ecosystem.Ai. Understanding how to enrich transaction data to make customerized recommendations.
Making customerized recommendations using ecosystem.Ai. Understanding how to enrich transaction data to make customerized recommendations.
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.
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Making customerized recommendations using ecosystem.Ai. Understanding how to adjust the new knowledge parameters to customerize your recommendations.
Making customerized recommendations using ecosystem.Ai. Understanding how to adjust the new knowledge parameters to customerize your recommendations.
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.
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General discussion : Generative AI
General discussion : Generative AI
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.
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1 event,
General discussion : Generative AI
General discussion : Generative AI
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.