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

AWS Machine Learning

AWS CDK provides the ability to manage changes for the complete solution. The automated pipeline includes steps for out-of-the-box model storage and metric tracking. He is an evangelist who loves to help customers leverage new technologies and build repeatable industry solutions to solve their problems.

Analytics 107
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Streamline Sales Processes with Enterprise CPQ

Cincom

Integration with Existing Systems: APIs facilitate data sharing between CPQ and other core platforms like CRM, ERP, accounting, e-commerce, and more. Together, this enables the coordination of the dispersed teams necessary for serving massive multinational accounts.

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23 Inspiring Women to Watch in 2023

TechSee

She combines expertise in operations management, finance, customer operations, strategy development and execution, complex problem solving, and large organization leadership with complex negotiation, analytical, and interpersonal skills. We were excited to see her leading the conversation at MCW23 last week.

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Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning

Query training results: This step calls the Lambda function to fetch the metrics of the completed training job from the earlier model training step. RMSE threshold: This step verifies the trained model metric (RMSE) against a defined threshold to decide whether to proceed towards endpoint deployment or reject this model.