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

AWS Machine Learning

In this post, we enable the provisioning of different components required for performing log analysis using Amazon SageMaker on AWS DeepRacer via AWS CDK constructs. This is where advanced log analysis comes into play. Choose Open Jupyter to start running the Python script for performing the log analysis.

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Automated exploratory data analysis and model operationalization framework with a human in the loop

AWS Machine Learning

Additionally, we won’t be able to make an informed decision post-analysis of those insights prior to building the ML models. This solution can accelerate accurate and timely inspection of data and model quality checks, and facilitate the productivity of distinguished data and ML teams across your organization. Overview of solution.

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

AWS Machine Learning

As the volume of call data grows, traditional analysis methods struggle to keep pace, creating a demand for a scalable solution. In the following sections, we provide a detailed, step-by-step guide on implementing these new capabilities, covering everything from data preparation to job submission and output analysis.

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Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning

Implement group-based security for dashboard and analysis access control. Across accounts, automate deployment using export and import dataset, data source, and analysis API calls provided by QuickSight. About the Authors Stephen Randolph is a Senior Partner Solutions Architect at Amazon Web Services (AWS).

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Accenture creates a Knowledge Assist solution using generative AI services on AWS

AWS Machine Learning

Shikhar aids in architecting, building, and maintaining cost-efficient, scalable cloud environments for the organization, and supports the GSI partner in building strategic industry solutions on AWS. Jay Pillai is a Principal Solution Architect at Amazon Web Services.

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Large-scale revenue forecasting at Bosch with Amazon Forecast and Amazon SageMaker custom models

AWS Machine Learning

Bosch is a multinational corporation with entities operating in multiple sectors, including automotive, industrial solutions, and consumer goods. She is working on research and development of Machine Learning algorithms for high-impact customer applications in a variety of industrial verticals to accelerate their AI and cloud adoption.

APIs 98
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HCLTech’s AWS powered AutoWise Companion: A seamless experience for informed automotive buyer decisions with data-driven design

AWS Machine Learning

HCLTechs AutoWise Companion solution addresses these pain points, benefiting both customers and manufacturers by simplifying the decision-making process for customers and enhancing data analysis and customer sentiment alignment for manufacturers. The solution can also be adopted in other sectors, as shown in the following table.