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