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

AWS Machine Learning

For example, in an application that recommends a music playlist, features could include song ratings, listening duration, and listener demographics. SageMaker Feature Store now makes it effortless to share, discover, and access feature groups across AWS accounts. Features are inputs to ML models used during training and inference.

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Use Amazon SageMaker pipeline sharing to view or manage pipelines across AWS accounts

AWS Machine Learning

On August 9, 2022, we announced the general availability of cross-account sharing of Amazon SageMaker Pipelines entities. You can now use cross-account support for Amazon SageMaker Pipelines to share pipeline entities across AWS accounts and access shared pipelines directly through Amazon SageMaker API calls.

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Prevent account takeover at login with the new Account Takeover Insights model in Amazon Fraud Detector

AWS Machine Learning

So much exposure naturally brings added risks like account takeover (ATO). Each year, bad actors compromise billions of accounts through stolen credentials, phishing, social engineering, and multiple forms of ATO. To put it into perspective: account takeover fraud increased by 90% to an estimated $11.4 Overview of solution.

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Get more out of SuccessBLOCS and APIs

Totango

Stream Account & User Tag Information Using Customer Data Hub API. Tags are used to automatically highlight important insights about accounts and users and play an important role in triggering automation like SuccessPlays and Campaigns. Now, tag information can be easily streamed to Totango via Customer Data Hub API.

APIs 62
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No API Integration in Your Call Center? You’re Basically Banning Collaboration.

Babelforce

Luckily there is an easy way to make this happen: API integration. What is an API? An API (Application Programming Interface) is a kind of universal translator for software. So the API sits between them and translates. Ok – so what’s “API integration”? API integration helps them to understand one another. .

APIs 52
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Use AWS PrivateLink to set up private access to Amazon Bedrock

AWS Machine Learning

It allows developers to build and scale generative AI applications using FMs through an API, without managing infrastructure. Customers are building innovative generative AI applications using Amazon Bedrock APIs using their own proprietary data.

APIs 122
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Provide live agent assistance for your chatbot users with Amazon Lex and Talkdesk cloud contact center

AWS Machine Learning

For example, the following figure shows screenshots of a chatbot transitioning a customer to a live agent chat (courtesy of WaFd Bank). If the request to the Talkdesk API is successful, a Talkdesk conversation ID is returned to Amazon Lex. Solution overview The following diagram illustrates the solution architecture.