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Making Businesses Better: Introducing New VirtualPBX Case Studies

VirtualPBX

In this blog, we are excited to present three compelling case studies that vividly illustrate how VirtualPBX has significantly elevated the performance of these businesses, making them more efficient and customer-centric. Enhancing Connectivity for a Flooring Manufacturer Company: Great Wall & Floors Inc.

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How Yara is using MLOps features of Amazon SageMaker to scale energy optimization across their ammonia plants

AWS Machine Learning

Yara has built APIs using Amazon API Gateway to expose the sensor data to applications such as ELC. Extendibility – It can deploy to new Regions and accounts. SageMaker Model Monitor APIs offer data and model quality monitoring. ELC is a process optimization use case and is deployed to optimize workload accounts.

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Secure your Amazon Kendra indexes with the ACL using a JWT shared secret key

AWS Machine Learning

When an Amazon Kendra index receives a query API call with a user access token, it validates the token using a shared secret key (stored securely in AWS Secrets Manager ) and gets parameters such as username and groups in the payload. These filtered results are returned in response to the query API call made by the application.

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The Future of Debt Collection Agencies: Contact Center Technology and Customer-Centric Strategies

NobelBiz

Account Setup and Verification : Upon receiving a debt, the agency sets up an account for the debtor and verifies all the details. Call centers are equipped with tools that allow agents to quickly access a debtor’s full account information, ensuring that every interaction is informed and constructive.

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Top 7 Customer Success Email Templates that your team needs!

CustomerSuccessBox

Find your access credentials and API key information below. An API key is available under xxxxxxxxxxxxxxxxx Technical Resources Also find the resources for your tech team, if they wish to review. To collect client tales, case studies, and testimonials, customer success teams collaborate with marketing.

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How BrainPad fosters internal knowledge sharing with Amazon Kendra

AWS Machine Learning

In addition, the connector is loaded through a restricted account, allowing for a security-conscious implementation. API implementations, so we can eventually provide customized search pages to our employees to improve their experience. In addition to Experience Builder, Amazon Kendra also supports Python and React.js

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Exploring summarization options for Healthcare with Amazon SageMaker

AWS Machine Learning

See the following case study to learn more about a real-world use case. Furthermore, proprietary models typically come with user-friendly APIs and SDKs, streamlining the integration process with your existing systems and applications. It offers an easy-to-use API and Python SDK, balancing quality and affordability.