Personalize Customer Recommendations with Machine Learning

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- [Narrator] Consumers today are interacting with brands through many digital touchpoints like social media, ads, email, websites and more. These customers expect real-time relevant experiences across these digital channels as they consider, purchase, and use products and services. However, many organizations across industries like retail and media and entertainment, struggle to deliver customization due to complexities and costs of implementing a personalization solution, the limitations of static rule-based systems and friction with platform integration. Machine learning can overcome these challenges, to provide a truly personalized experience for your customers. And AWS Artificial Intelligence, AI, and Machine Learning, ML, can make implementing a machine learning solution easier and more cost-effective. To increase customer engagement and conversion, AWS offers two approaches that can be used to implement an ML-based personalization solution. If you're looking to get started today with no ML expertise required, AWS offers Amazon Personalize, a service that leverages over 20 years of personalization experience at Amazon. With this service, you can easily build applications that deliver specific product recommendations, individualized search results, (gentle music) or customize marketing communications. Amazon Personalize uses ML algorithms rather than rigid predefined rules. This means the service can quickly adapt to real-time changes in consumer behavior and preferences; increasing engagement, conversion, and revenue. You can easily integrate Amazon Personalize into your existing websites, apps, SMS and email marketing systems to deliver unique experiences for your customers across channels and devices. Alternatively, organizations that want to develop their own machine learning models for personalization can use Amazon SageMaker, a fully-managed service that helps data scientists and ML developers build, train and deploy machine learning models quickly. SageMaker provides all of the tools required for ML in a single service, and removes the heavy lifting from each step to make it easier to develop high quality machine learning models for personalization. Provide more personalized digital experiences for your customers. with machine learning solutions from AWS. Learn more and get started today.
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Channel: Amazon Web Services
Views: 12,482
Rating: undefined out of 5
Keywords: AWS, Amazon Web Services, Cloud, AWS Cloud, Cloud Computing, MachineLearning, Personalization
Id: gm2zYAYtbGQ
Channel Id: undefined
Length: 2min 42sec (162 seconds)
Published: Sat Nov 14 2020
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