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Pandemic relief and restart industry solutions

Talkdesk

Here’s how: Small Business Lending Solution. Learn more about the Small Business Lending Solution. The post Pandemic relief and restart industry solutions appeared first on Talkdesk. And critically, we can provide this help immediately.

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Driving advanced analytics outcomes at scale using Amazon SageMaker powered PwC’s Machine Learning Ops Accelerator

AWS Machine Learning

However, putting an ML model into production at scale is challenging and requires a set of best practices. Integrations with CI/CD workflows and data versioning promote MLOps best practices such as governance and monitoring for iterative development and data versioning.

Analytics 111
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Configure an AWS DeepRacer environment for training and log analysis using the AWS CDK

AWS Machine Learning

The following diagram illustrates the solution architecture. With the help of the AWS CDK, we can version control our provisioned resources and have a highly transportable environment that complies with enterprise-level best practices.

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How Accenture is using Amazon CodeWhisperer to improve developer productivity

AWS Machine Learning

In this post, we illustrate how Accenture uses CodeWhisperer in practice to improve developer productivity. Accenture is using Amazon CodeWhisperer to accelerate coding as part of our software engineering best practices initiative in our Velocity platform,” says Balakrishnan Viswanathan, Senior Manager, Tech Architecture at Accenture.

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Streamline Sales Processes with Enterprise CPQ

Cincom

Configurable rules encode compliance requirements and best practices to guide users and skip unnecessary steps. Help Sales Reps Adapt to New Processes Guided selling pathways within Cincom CPQ encode established best practices for enterprise sales scenarios, making onboarding new reps simpler and faster.

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Enhance call center efficiency using batch inference for transcript summarization with Amazon Bedrock

AWS Machine Learning

We also explore best practices for optimizing your batch inference workflows on Amazon Bedrock, helping you maximize the value of your data across different use cases and industries.

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Bring SageMaker Autopilot into your MLOps processes using a custom SageMaker Project

AWS Machine Learning

We demonstrate how to use CI/CD the low-code/no-code tools code to integrate it into your MLOps environment, while adhering with MLOps best practices. To learn more about SageMaker Projects and creating custom project templates aligned with best practices, refer to Build Custom SageMaker Project Templates – Best Practices.