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Best practices for building secure applications with Amazon Transcribe

AWS Machine Learning

In this blog post, you will learn how to power your applications with Amazon Transcribe capabilities in a way that meets your security requirements. In the following sections of the blog, we cover different mechanisms Amazon Transcribe has to protect customer data both in transit and at rest.

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Build a cross-account MLOps workflow using the Amazon SageMaker model registry

AWS Machine Learning

When designing production CI/CD pipelines, AWS recommends leveraging multiple accounts to isolate resources, contain security threats and simplify billing-and data science pipelines are no different. Some things to note in the preceding architecture: Accounts follow a principle of least privilege to follow security best practices.

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How to Bring Agile Innovation to Customer Success

Totango

In this blog, we’ll look deeper at what an agile customer success strategy means and why you can benefit from using one. When agile methodology is imported to a customer success context, it serves to optimize collaboration between success management teams and clients in order to deliver clients better outcomes aligned with their goals.

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Top 9 Customer Service Blogs to read in 2022

Nicereply

In this always-changing universe of customer interactions, knowing where to go for resources can be tricky. That’s why we’ve rounded up this handy list, so you have all top customer support blogs published (so far) in 2022 in one accessible place. 2022’s top customer service blogs.

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Accelerate multilingual workflows with a customizable translation solution built with Amazon Translate

AWS Machine Learning

Each business unit in the enterprise has different translation workloads and often manages their own translation requirements and vendors. In this blog post, we demonstrate how to build a unified translation solution with customization features using Amazon Translate and other AWS services. API Gateway validates the API key.

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Set up enterprise-level cost allocation for ML environments and workloads using resource tagging in Amazon SageMaker

AWS Machine Learning

Without proper cost management and governance, your ML spend may lead to surprises in your monthly AWS bill. Across almost all AWS services, SageMaker included, applying tags to resources is a standard way to track costs. Cost allocation on AWS is a three-step process: Attach cost allocation tags to your resources.

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6 Ways to Improve Your Sales Win Rate

aircall

Product managers can use it to get a feel of which capabilities resonate most and which the least.“. If you consistently have a low sales win rate, it might be worth looking at your current team and how to bridge the skill gap with training and other learning resources. How is sales win rate calculated? . Marc Gassó, CMO at Bloobirds.

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