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Preparing Your Business for the API Economy

Nexmo

Partly, that’s code they write themselves but what makes modern software development so effective is that developers can easily build on the work of others through APIs. When you think of APIs it’s likely that some big names come to mind: Nexmo, the Vonage API platform; Stripe for payments; or one of the new Open Banking APIs.

APIs 78
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How banks can streamline service with the latest round of PPP

Talkdesk

Distribution through financial centers: Banks, credit unions and community lenders will receive the applications, review, process and distribute the new tranche of $267.5 Banks and lenders will need to make the PPP process as clear and straightforward as possible to their agents and clients.

Banking 126
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Build and train ML models using a data mesh architecture on AWS: Part 1

AWS Machine Learning

This is mainly targeting the data steward persona, who is responsible for streamlining and standardizing the process of sharing data between data producers and consumers and ensuring compliance with data governance rules. For more information, refer to Design a data mesh architecture using AWS Lake Formation and AWS Glue.

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How Plain Language Reduces Call Centre Volume By 19%

CSM Magazine

Let’s take a banking example. A bank sends out information on loan restructuring. She doesn’t have time to learn banking jargon. The letter references lots of jargon (APR, APY) and seems legalistic. Imagine now that the bank had sent the same letter in plain English with no banking jargon. VisibleThread.

Banking 104
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Amazon SageMaker Feature Store now supports cross-account sharing, discovery, and access

AWS Machine Learning

SageMaker Feature Store now allows granular sharing of features across accounts via AWS RAM, enabling collaborative model development with governance. This provides an audit trail required for governance and compliance. Additionally, the cross-account capability enhances data governance and security.

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Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker

AWS Machine Learning

With SageMaker MLOps tools, teams can easily train, test, troubleshoot, deploy, and govern ML models at scale to boost productivity of data scientists and ML engineers while maintaining model performance in production. Regulations in the healthcare industry call for especially rigorous data governance.

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Detect real and live users and deter bad actors using Amazon Rekognition Face Liveness

AWS Machine Learning

These customers verify user identity by matching the user’s face in a selfie captured by a device camera with a government-issued identity card photo or preestablished profile photo. This can deter a bad actor using social media pictures of another person to open fraudulent bank accounts.

APIs 77