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Summary: This is a summary of an article originally published by AWS DevOps Blog. Read the full original article here →
https://aws.amazon.com/polly/ As organizations grow, the records that contain information about customers, businesses, or products tend to be increasingly fragmented and siloed across applications, channels, and data stores. For example, companies want to run advertising campaigns to reach consumers across multiple applications and channels with personalized messaging. Companies often have to deal with disparate data records that contain incomplete or conflicting information, creating a difficult matching process.
AWS Entity Resolution offers advanced matching techniques, such as rule-based matching and machine learning models, to help you accurately link related sets of customer information, product codes, or business data codes.
With AWS Entity Resolution, you can improve matching accuracy and protect data security while minimizing data movement because it reads records where they already live.
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