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What is a contact center?

ViiBE Blog

Automotive , Construction , Energy , Insurance , Retail , SMB , Transport. The most desired and beneficial features of successful contact centers are: interactive voice response customer experience recording advanced analytics and reporting embedded CRM API integrations. ViiBE Blog. What is a contact center? Natalia Barszcz.

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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. The neural forecasters can be bundled as a single ensemble model, or incorporated individually into Bosch’s model universe, and accessed easily via REST API endpoints.

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Machine Learning with MATLAB and Amazon SageMaker

AWS Machine Learning

It’s heavily used in many industries such as automotive, aerospace, communication, and manufacturing. After checking the accuracy metrics for the locally-trained model, we can move the training into Amazon SageMaker. He is also pursuing an MBA in Machine Learning and Business Analytics from Babson College, Boston.

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Face-off Probability, part of NHL Edge IQ: Predicting face-off winners in real time during televised games

AWS Machine Learning

The decision tree provided the cut-offs for each metric, which we included as rules-based logic in the streaming application. At the end, we found that the LightGBM model worked best with well-calibrated accuracy metrics. The second important component of the architecture is Amazon Kinesis Data Analytics for Apache Flink.

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Get insights on your user’s search behavior from Amazon Kendra using an ML-powered serverless stack

AWS Machine Learning

Although the Amazon Kendra console comes equipped with an analytics dashboard, many of our customers prefer to build a custom dashboard. The high-level workflow is as follows: An Amazon EventBridge scheduler triggers Lambda functions once a month to extract last month’s search metrics from Amazon Kendra.

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Your guide to generative AI and ML at AWS re:Invent 2023

AWS Machine Learning

In this innovation talk, hear how the largest industries, from healthcare and financial services to automotive and media and entertainment, are using generative AI to drive outcomes for their customers. See demos on how to build analytics dashboards and integrations between LLMs and Amazon QuickSight to visualize your key metrics.