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Rajat Mathur

As seen in: Amazon Web Services, The Hans India, G2, Prokerala, NewsGram, Daijiworld, Buziness Bytes, India New England News, GRAZIA India, IANS Life and
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Articles

Solve customer identity fragmentation at scale with AWS Entity Resolution | Amazon Web Services

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By Punit Shah, Adam Hood, Rajat Mathur, Srikrishna Srinivasan
| Amazon Web Services
Enterprises often struggle with fragmented and inconsistent consumer data spread across multiple applications. This can create challenges in achieving trusted, unified views of your customers that power important functions, such as compliance reporting, analytics, and consumer engagement. Amazon Web Services (AWS) Entity Resolution helps companies quickly match, link, and enhance related customer records so organizations can move from scattered records to unified customer views.
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Enhanced search with match highlights and explanations in Amazon SageMaker | Amazon Web Services

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By Ramesh Singh, Pradeep Misra, Rajat Mathur, Ron Kyker
| Amazon Web Services
Amazon SageMaker now enhances search results in Amazon SageMaker Unified Studio with additional context that improves transparency and interpretability. Users can see which metadata fields matched their query and understand why each result appears, increasing clarity and trust in data discovery.
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Streamline data discovery with precise technical identifier search in Amazon SageMaker Unified Studio | Amazon Web Services

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By Ramesh Singh, Jie Lan, Pradeep Misra, Rajat Mathur
| Amazon Web Services
We’re excited to introduce a new enhancement to the search experience in Amazon SageMaker Catalog, part of the next generation of Amazon SageMaker—exact match search using technical identifiers. With this capability, you can now perform highly targeted searches for assets such as column names, table names, database names, and Amazon Redshift schema names by enclosing search terms in a qualifier such as double quotes (" ").
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