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The Subtleties within Support with Humio [Podcast]

Nicereply

There are so many aspects of support that we measure and benchmark, and articles just like this give tips and tricks on how to improve. So it should be crystal clear how to implement the best customer experience! Variances in your industry, solution, and product quality will change what makes a great Customer Experience.

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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. About the Authors Kiran Kumar Ballari is a Principal Solutions Architect at Amazon Web Services (AWS).

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Run your local machine learning code as Amazon SageMaker Training jobs with minimal code changes

AWS Machine Learning

In this post, we show you how to use this new capability to run local ML code as a SageMaker Training job. Solution overview You can now run your ML code written in your IDE or notebook as a SageMaker Training job by annotating the function, which acts as an entry point to the user’s code base, with a simple decorator.

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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. In this post, we demonstrate the following: How to apply Forecast and SageMaker custom model training for hierarchical, large-scale time-series forecasting problems. Evaluation.

APIs 96
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Amazon Bedrock Custom Model Import now generally available

AWS Machine Learning

In this section, we’ll show you how to fine-tune the Llama 3.2 You can refer to the console screenshots in the earlier section for how to import a model using the Amazon Bedrock console. SageMaker JumpStart provides FMs through two primary interfaces: SageMaker Studio and the SageMaker Python SDK.

APIs 141
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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

Each model has different features, price points, and performance metrics, making it difficult to make a confident choice that fits their needs and budget. The solution can also be adopted in other sectors, as shown in the following table. Sara van de Moosdijk , simply known as Moose, is an AI/ML Specialist Solution Architect at AWS.