Amazon Personalize is a fully-managed service that helps companies deliver personalized experiences, such as recommendations, search results, email campaigns and notifications. It brings over 20 years of experience in personalization from Amazon.com (http://amazon.com/) and puts it in the hands of developers with little or no machine learning experience. Amazon Personalize uses AutoML to automate the entire process of managing and processing data, choosing the right algorithm based on the data, and using the data to train and deploy custom machine learning models — all with a few simple API calls. Join us and learn how you can use Concierge to build engaging experiences that respond to user preferences and behavior in real-time.
Deep learning techniques have a direct impact on the bottom
Engagement Recurrent Neural
Net + Bandit
"At Sony, we are focused on developing predictive models to create an engaging
and relevant experience for all our consumers. However, delivering truly
personalized offers and tailored content to millions of users across channels and
content formats is no simple task – it requires the complex integration of advanced
technology, people, and processes. Amazon Personalize eliminates the heavy
lifting of building a personalized recommendation system. We can leverage
Amazon Personalize's data pipelines and indexing infrastructure, while developing
our models using Amazon SageMaker. The combination of Amazon SageMaker and
Amazon Personalize enables us to automate and accelerate our machine learning
development, and drive more effective personalization at scale."
Senior Director of Machine Learning, Sony