Amazon Web Services (AWS) has introduced Entity Resolution, an advanced analytics service powered by machine learning (ML) to facilitate analysis, matching, and linking of related records stored across various applications, channels, and data repositories.
The service aims to address the challenge of managing siloed data, enabling organizations to efficiently comprehend how their data is connected, matched, and linked, according to the company.
AWS Entity Resolution offers customizable workflows that leverage both rule-based and ML techniques to join related consumer, business, and product information. Business analysts and developers can effortlessly enhance data accuracy with built-in, preconfigured workflows, or tailor the workflows to align with their specific organizational requirements.
AWS Entity Resolution integrates with partners LiveRamp and TransUnion, as well as the open source advertising framework Unified ID 2.0. Companies can collaborate with partners in data clean rooms, such as AWS Clean Rooms, to identify common data IDs across datasets and enhance record connections while ensuring the protection of sensitive information, says AWS.
The general availability of AWS Entity Resolution spans multiple AWS Regions, including US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Frankfurt), Europe (Ireland), and Europe (London), with additional AWS Regions becoming available soon.
[Image courtesy: AWS]