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How to Best Use Customer Feedback: 3 Ways to Act on Big Data

PeopleMetrics

For all its promise, and all its hype, big data has always had one inherent problem. You see, big data is. And when you're facing something big, you may find it overwhelming. But let’s get you off that cold linoleum floor and discuss how to best use customer feedback.

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Why Businesses Should Hire Cloud Developers: Key Benefits and Best Practices

CSM Magazine

A Harvard Business Review study found that companies using big data analytics increased profitability by 8%. While this statistic specifically addresses data-centric strategies, it highlights the broader value of well-structured technical investments. Are they open to feedback from other departments?

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Call Center Optimization: Big Data Analytics

Global Response

Call centers are increasingly turning to big data analytics as a pivotal tool for optimization. By harnessing the power of vast data sets, businesses can uncover deep insight into customer behavior, preferences, and trends, enabling them to tailor their services for maximum impact. Let’s take a look.

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Ground truth curation and metric interpretation best practices for evaluating generative AI question answering using FMEval

AWS Machine Learning

In this post, we discuss best practices for working with FMEval in ground truth curation and metric interpretation for evaluating question answering applications for factual knowledge and quality. Ground truth data in AI refers to data that is known to be true, representing the expected outcome for the system being modeled.

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Insights in implementing production-ready solutions with generative AI

AWS Machine Learning

Additionally, the company is continuously incorporating end-user feedback to keep the service tailored to customer needs. Subhro Bose is a Data Architect in Emergent Technologies and Intelligence Platform in Amazon. For more information, you can watch the AWS Summit Milan 2024 presentation.

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Revolutionizing clinical trials with the power of voice and AI

AWS Machine Learning

They provide feedback, make necessary modifications, and enforce compliance with relevant guidelines and best practices. Iterative improvement As the AI system receives feedback and correlated outcomes from completed clinical trials, it continuously learns and refines its protocol design capabilities.

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MLOps deployment best practices for real-time inference model serving endpoints with Amazon SageMaker

AWS Machine Learning

A/B testing is used in scenarios where closed loop feedback can directly tie model outputs to downstream business metrics. This feedback is then used to determine the statistical significance of changing from one model to another, helping you select the best model through live production testing.