AWS Entity Resolution launches support for incremental Machine Learning based matching workflows

AWS Entity Resolution Launches ML-Based Incremental Matching Workflows

AWS Entity Resolution now supports Machine Learning (ML) based Incremental Matching workflows in General Availability, transforming how enterprises process entity resolution at scale. This enhancement allows businesses to process only new records added since their last workflow run, achieving a 95% reduction in processing time and significantly reducing infrastructure costs.

Key Benefits

• Processes up to 50M incremental records over datasets with up to 1 billion historical base records.
• Reduces processing time for 1M incremental records to less than 1 hour.
• Available in all AWS Regions where AWS Entity Resolution is offered.

What to do

• Start using incremental ML workflows in all AWS Regions where AWS Entity Resolution is available.
• Refer to the user guide for instructions on starting an incremental ML workflow.
• Visit the product page for more information about AWS Entity Resolution.

Source: AWS release notes

If you need further guidance on AWS, our experts are available at AWS@westloop.io. You may also reach us by submitting the Contact Us form.