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Amazon SageMaker Feature Store now supports cross-account sharing, discovery, and access

AWS Machine Learning

SageMaker Feature Store now makes it effortless to share, discover, and access feature groups across AWS accounts. With this launch, account owners can grant access to select feature groups by other accounts using AWS Resource Access Manager (AWS RAM). For a deep dive, refer to Cross account feature group discoverability and access.

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Redact sensitive data from streaming data in near-real time using Amazon Comprehend and Amazon Kinesis Data Firehose

AWS Machine Learning

As indicated in the diagram, the S3 raw bucket contains non-redacted data, and the S3 redacted bucket contains redacted data after using the Amazon Comprehend DetectPiiEntities API within a Lambda function. Total cost for identifying log records with PII using ContainsPiiEntities API = $0.1 Costs involved. 50,000 units x $0.000002].

APIs 84
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Connecting Amazon Redshift and RStudio on Amazon SageMaker

AWS Machine Learning

You can quickly launch the familiar RStudio IDE and dial up and down the underlying compute resources without interrupting your work, making it easy to build machine learning (ML) and analytics solutions in R at scale. Users can also interact with data with ODBC, JDBC, or the Amazon Redshift Data API. Solution overview.

APIs 105
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HoduSoft partners with Signalmash to bring innovative UC products to US markets

Hodusoft

Through its communication platform offering APIs and SDKs for SMS / MMS, Programmable Voice, and SIP Trunking, the company aims to serve the US customers with a mix of communication solutions through pay-as-you-go/subscription-based model, growth, and scale plans. . HoduCC – Call Center Software. HoduPBX – IP PBX Software.

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Advance from Personalization to Customer Journey Orchestration

Pointillist

Behemoths like Amazon and Netflix have transformed consumer expectations and influenced the experiences consumers demand from their banks, cable and wireless companies, and even health insurers. Sometimes it makes more sense to reach out and communicate with a customer or group of customers at a specific point in a journey.

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How Reveal’s Logikcull used Amazon Comprehend to detect and redact PII from legal documents at scale

AWS Machine Learning

Especially if they’re part of a government group, redacting PII through the Freedom of Information Act and Digital Services Act is crucial for protecting individual privacy, ensuring compliance with data protection laws, preventing identity theft, and maintaining trust and transparency in government and digital services.

APIs 87
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Amazon Comprehend Targeted Sentiment adds synchronous support

AWS Machine Learning

With Targeted Sentiment, you can identify groups of mentions (co-reference groups) corresponding to a single real-world entity or attribute, provide the sentiment associated with each entity mention, and offer the classification of the real-world entity based on a pre-determined list of entities. Targeted sentiment use cases.

APIs 66