Today, AWS Entity Resolution introduces near real-time rule-based matching to enable customers to match new and existing records within seconds.
With this launch, organizations can match records in near real-time to support use cases across multiple industries that require low-latency, time-sensitive matching on consumer records. For example, travel and hospitality companies can match consumer records in near real-time to prioritize callers in contact centers, recognize loyal customers, deliver tailored product recommendations, and personalize guest check-in experiences. Healthcare organizations can match patient records in near real-time, with appropriate patient consent, to provide clinicians with a complete view of medical history and improve care coordination. Additionally, financial institutions can match new and historical financial transactions within seconds to identify discrepancies and detect fraudulent transactions. When processing incremental records using rule-based matching, AWS Entity Resolution compares the incoming record against existing records, returns a match using a consistent match ID, or generates a new match ID, all within seconds.
AWS Entity Resolution helps organizations match, link, and enhance related customer, product, business, or healthcare records stored across multiple applications, channels, and data stores. You can get started in minutes using matching workflows that are flexible, scalable, and can seamlessly connect to your existing applications, without any expertise in entity resolution or ML. AWS Entity Resolution is generally available in these AWS Regions. To learn more, visit AWS Entity Resolution.
Source:: Amazon AWS