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On Being an Accountable Customer Service Leader

Customer Service Life

Properly authenticating the account. Leaving complete account notes for the next person who interacts with the customer. This exercise reminded me of the time when we started this blog back in 2012. Starting a blog about customer service became instant accountability for me. Quality as accountability.

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Cautionary tale—BNPL disrupts with faster, smarter, more personalized payment solutions

Maru Group

The global market continues to put extreme pressure on financial institutions to develop faster, smarter, more personalized payment solutions. As early as 2012, fintechs provided a viable alternative to traditional financial institutions for purchases ranging from home appliances to travel packages. Ready to jumpstart your CX program?

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Recommend top trending items to your users using the new Amazon Personalize recipe

AWS Machine Learning

Amazon Personalize is excited to announce the new Trending-Now recipe to help you recommend items gaining popularity at the fastest pace among your users. Amazon Personalize is a fully managed machine learning (ML) service that makes it easy for developers to deliver personalized experiences to their users.

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Large language model inference over confidential data using AWS Nitro Enclaves

AWS Machine Learning

This post discusses how Nitro Enclaves can help protect LLM model deployments, specifically those that use personally identifiable information (PII) or protected health information (PHI). In our example use case, an LLM service is designed to answer employee healthcare benefit questions or provide a personal retirement plan.

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Area Code 408: San Jose, California Local Phone Numbers

JustCall

It was separated from the 415 in 1959, and in 2012, the 669 area code was allocated to the same phone numbering plan region in an overlay scheme. Kindly follow these steps to make a call: Punch in ‘408’ on your phone; Type in the seven-digit telephone number the workplace or person followed by the area code.

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Get to production-grade data faster by using new built-in interfaces with Amazon SageMaker Ground Truth Plus

AWS Machine Learning

With this new capability, multiple Ground Truth Plus users can now create a new project and batch , share data, and receive data using the same AWS account through self-serve interfaces. Before you get started, make sure you have the following prerequisites: An AWS account. Request a new project. Set up a project team. Create a batch.

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Automatic image cropping with Amazon Rekognition

AWS Machine Learning

The celebrity recognition feature in Amazon Rekognition automatically recognizes tens of thousands of well-known personalities in images and videos using ML. Prerequisites For this walkthrough, you should have the following prerequisites: An AWS account A S3 bucket Upload the sample image Upload your sample celebrity image to your S3 bucket.

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