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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.

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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. Output collection and analysis – Retrieve processed results and integrate them into existing workflows or analytics systems.