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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. The solution deploys two linked pipelines.

Analytics 132
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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.

Scripts 98
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Configure an AWS DeepRacer environment for training and log analysis using the AWS CDK

AWS Machine Learning

With the advancements in automation and configuring with increasing levels of abstraction to set up different environments with IaC tools, the AWS CDK is being widely adopted across various enterprises. The following diagram illustrates the solution architecture. The unit tests are located in DeepRacer/test/deep_racer.test.ts

Scripts 98
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Streamline Sales Processes with Enterprise CPQ

Cincom

CPQ solutions enhance sales effectiveness by simplifying quoting, centralizing product data, recommending optimal deals, and automating repetitive administrative workflows. Core CPQ features include: Guided Selling Tools: CPQ applies configuration requirements and logic when building customized quotes.

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

AWS Machine Learning

Every organization has its own set of standards and practices that provide security and governance for their AWS environment. Amazon SageMaker is a fully managed service to prepare data and build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows.

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Amazon Bedrock Custom Model Import now generally available

AWS Machine Learning

Amazon Bedrock offers a serverless experience, so you can get started quickly, privately customize FMs with your own data, and integrate and deploy them into your applications using AWS tools without having to manage infrastructure. Be backed by enterprise grade security and privacy tooling.

APIs 142