ML-powered recommendations with MySQL HeatWave

The "MovieHub" application showcases how the MySQL HeatWave AutoML recommender system generates personalized, machine learning-powered recommendations. A movie app is a good example, but you could use the recommender system for various kinds of applications such as eCommerce, financial services, or gaming. Follow our step-by-step instructions to build the MovieHub app without coding by using the most popular low-code development platform, Oracle APEX.
See how customers successfully use MySQL HeatWave for machine learning
Aicoll
Aicoll improves loan default prediction using MySQL HeatWave AutoML
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Teyuto
Teyuto boosts customer experiences with ML-powered recommendation engines built on MySQL HeatWave
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Viatick
Viatick shortens time to market and enhances customer experience with MySQL HeatWave AutoML
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Watch demos of MySQL HeatWave
MySQL HeatWave performance  
MySQL HeatWave performance
MySQL HeatWave Lakehouse on AWS  
MySQL HeatWave Lakehouse on AWS
Progress tracking of ML tasks with HeatWave AutoML  
Progress tracking of ML tasks with HeatWave AutoML
Other free workshops you may be interested in:
Discover the MySQL HeatWave migration program
Access the User Guide