AWS for Industries
Author: Sid Patel
Sid is a Product Lead on the Customer Data and Insights team within AWS Applied AI Solutions. He focuses on customer identity and data unification through services like AWS Entity Resolution and Amazon Connect Customer Profiles.
Resolve imperfect data with advanced rule-based fuzzy matching in AWS Entity Resolution
Companies across industries aim to deliver personalized customer experiences and optimized advertising campaigns by resolving customer identities. However, being able to reliably match records across fragmented, inconsistent, and often messy datasets can be hard and complicated. Organizations using traditional rule-based matching techniques to help match exact records often miss valuable connections due to slight variations […]
Unlock data insights across multi-party datasets using AWS Entity Resolution on AWS Clean Rooms without sharing underlying data
The marketing and advertising technology landscape is undergoing transformation driven by fragmented consumer media and sales channels, new privacy regulations, and a rapid shift toward AI-enabled customer engagement. Companies across industries want to deliver personalized customer experiences and optimized advertising campaigns but struggle with siloed, duplicative, or missing data which hinders real-time use cases. A […]