Advertising Intelligence

Reduce heavy lifting for data engineers and data scientists with more analytics, artificial intelligence, and machine learning services that than any cloud provider. With AWS, data science teams spend less time preparing, pre-processing and setting up analytics infrastructure; and more time inventing in areas like data privacy, federated ad measurement, audience segmentation, consumer identity, contextual analysis, brand safety, fraud prevention, and connected TV ad serving. AWS customers process vast amounts of data with Amazon EMR, which supports 21 different open source processing projects, and use Amazon SageMaker to easily prepare, build, train, and deploy high-quality machine learning (ML) models quickly.

Analyze distributed data in privacy-safe workspaces with the broadest capabilities of any cloud provider for secure analytics and storage, including tools for data sharing, governance, confidentiality, storage, preparation, security, and analytics. With AWS Lake Formation, you can build a secure data lake in days, defining data sources and what data access and security policies you want to apply. Join, match, and enrich data across accounts with Amazon Redshift Data Sharing, which enables instant, granular, and high-performance data access across Amazon Redshift clusters without the need to copy or move it.

Enrich audience data with your preferred data providers via AWS Data Exchange, which makes it easy to find, subscribe to, and use third-party data in the cloud. Qualified data providers include Adstra, Acxiom, Epsilon Data Management, Foursquare, Kantar, and others. Once subscribed to a data product, you can use the AWS Data Exchange API to load data directly into Amazon S3 and then match it with other identifiers using Amazon EMR and AWS Glue Catalog.