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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).

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Performance Management Bridges the Divide Between Big Data and Big Knowledge

Aspect

As new customer engagement channels become popular and better speech and text analytics tools come into use, we are faced with an inexorable rising tide of available information. Powerful data analysis and visualization tools help analysts traverse this massive body of information to extract the most important insights.

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Guest Post: Find Ways for Artificial Intelligence to Benefit Customers

ShepHyken

He shares how organizations can use data and AI-powered tools to benefit customers. Artificial intelligence is all around us, helping power many of the tools we use every day. . And why doesn’t the email system know if a Notice of Cancellation is in effect for my account?

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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. Solution overview.

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More Than Just Number-Crunchers: How Accountants Provide Value-Added Services

Method:CRM

Those poor accountants. In fact, today’s accountants are far more than just number-crunchers — they’re leaders, strategists, technologists, advisors and business specialists. The accounting industry: (p)art of the deal. Accountants speak the language of business. For instance, look at large accounting organizations.

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Use AWS PrivateLink to set up private access to Amazon Bedrock

AWS Machine Learning

Amazon Bedrock is a fully managed service provided by AWS that offers developers access to foundation models (FMs) and the tools to customize them for specific applications. Customers are building innovative generative AI applications using Amazon Bedrock APIs using their own proprietary data.

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3 Ways to Use Big Data to Improve Customer Service in Your Call Center

Talkdesk

Oxford defines “big data” as “extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior and interactions.” Big data is of special interest to businesses that wish to gauge their consumers’ preferences and ideas regarding customer service.