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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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Top Banking Issues Today For Keeping Up With Customer Expectations

Integrity Solutions

The banking industry is undergoing a significant transformation, driven by technological advancements, changing customer expectations and evolving regulatory landscapes. Incidents involving banks like SVB and First Republic Bank, coupled with the emergence of new banks, have placed many regional and community banks in a precarious position.

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Personalization In Sales Leads To Increased Loyalty and Repeat Business

Integrity Solutions

Put another way, personalization is the opposite of operating from scripts and responding with cookie-cutter answers. There’s no value for them in listening to salesperson recite scripted features and benefits — they’ve already read all of that on the website or in other marketing materials.

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Unlock the potential of generative AI in industrial operations

AWS Machine Learning

However, complex NLQs, such as time series data processing, multi-level aggregation, and pivot or joint table operations, may yield inconsistent Python script accuracy with a zero-shot prompt. For details, refer to Step 1: Create your AWS account. or higher installed on Linux, Mac, or Windows Subsystem for Linux, and an AWS account.

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6 Killer Applications for Artificial Intelligence in the Customer Engagement Contact Center

If Artificial Intelligence for businesses is a red-hot topic in C-suites, AI for customer engagement and contact center customer service is white hot. This white paper covers specific areas in this domain that offer potential for transformational ROI, and a fast, zero-risk way to innovate with AI.

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Build and train ML models using a data mesh architecture on AWS: Part 2

AWS Machine Learning

In part 1 , we addressed the data steward persona and showcased a data mesh setup with multiple AWS data producer and consumer accounts. The data scientists in this team use Amazon SageMaker to build and train a credit risk prediction model using the shared credit risk data product from the consumer banking LoB. Data exploration.

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Customer Service Training: Empowering A Service Mindset

Integrity Solutions

The Impact Of A Customer Service Culture Enhancing Customer Service With A Sales Mindset Importance Of A Customer Service Strategy The Customer Experience Journey Contact Center Training Integrity Service® Customer Service Training What Does Customer Service Mean? In the banking sector this is especially apparent. Really heard.