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How to reframe the banking experience: Defining the new norm for banking contact centers

Talkdesk

The reimagining of business places the customer at its forefront and affects every aspect of the banking industry — from human resources and security to sales and marketing. After COVID-19 hit, many business owners felt underserved by their banks and voiced their displeasure by moving their money elsewhere.

Banking 114
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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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Best Software for Speech Analytics

JustCall

Speech analytics software analyses live or recorded calls and interpret emotional indicators. Speech analytics software uses artificial intelligence to analyze spoken language similar to voice recognition software. What is Speech analytics? Significance of Speech Analytics. Some Best Speech Analytics Software.

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Real-time fraud detection using AWS serverless and machine learning services

AWS Machine Learning

Online fraud has a widespread impact on businesses and requires an effective end-to-end strategy to detect and prevent new account fraud and account takeovers, and stop suspicious payment transactions. Example use cases for this could be payment processing or high-volume account creation.

APIs 113
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Advantages of Banking Virtualization

Revation Systems

While many customers are still most comfortable banking at their local brick-and-mortar branch location, we’d like to think it’s because they enjoy seeing their favorite teller and not because they’re afraid to try online banking. On the other hand, banking virtualization allows for a much more streamlined on-the-go process.

Banking 48
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Schneider Electric leverages Retrieval Augmented LLMs on SageMaker to ensure real-time updates in their ERP systems

AWS Machine Learning

Enterprise Resource Planning (ERP) systems are used by companies to manage several business functions such as accounting, sales or order management in one system. In particular, they are routinely used to store information related to customer accounts.

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Build and train ML models using a data mesh architecture on AWS: Part 1

AWS Machine Learning

Large enterprises sometimes set up a center of excellence (CoE) to tackle the needs of different lines of business (LoBs) with innovative analytics and ML projects. To generate high-quality and performant ML models at scale, they need to do the following: Provide an easy way to access relevant data to their analytics and ML CoE.