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Amazon SageMaker Automatic Model Tuning now supports three new completion criteria for hyperparameter optimization

AWS Machine Learning

This feature is part of a resource control criteria and doesn’t take into account the convergence of the models. We demonstrated with an experiment that intelligent stopping based on improvement observation across iteration may lead to a significantly optimized budget and time management compared to not defining a completion criteria.

Metrics 85
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Amazon SageMaker Automatic Model Tuning now automatically chooses tuning configurations to improve usability and cost efficiency

AWS Machine Learning

This provides an accelerated and more efficient way to find hyperparameter ranges, and can provide significant optimized budget and time management for your automatic model tuning jobs. Gopi Mudiyala is a Senior Technical Account Manager at AWS. Iaroslav Shcherbatyi is a Machine Learning Engineer at AWS.

APIs 83
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Streamlining Operations Management Through Communication + Automation

aircall

Your goal is to optimize your operations management for scalability , which will help your business achieve its highest potential. This is much like how a car works best when it’s well-maintained, well-engineered, and driven properly. . What Is Operations Management? Improves Time Management. Educate Your Team.

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Tortoise or Hare – Which One Best Describes Your Contact Center?

CSM Magazine

Add ‘travel time’ into schedules – in a bid to save time, managers often take. For example, they don’t factor in the travel time needed to get from the contact center floor to the training rooms. Carlos Muñoz is Teleopti’s Director of Sales Engineers for the Americas. short-cuts and make schedules unrealistic.

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Call Center Management: Challenges, Strategies, Tips, and Best Practices

Hodusoft

But managing its day-to-day operations has become tougher as contemporary call center managers have to cope with several challenges including post-covid work scenarios, high attrition rate, increasing competition, and more. Quality Monitoring and Feedback “What gets measured gets managed.” “Feedback is the breakfast of champions.”

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Generate actionable insights for predictive maintenance management with Amazon Monitron and Amazon Kinesis

AWS Machine Learning

Indeed, this approach combines continuous monitoring, predictive analytics, and just-in-time action. Your field engineers and operators can directly use the app to diagnose and plan maintenance for industrial assets. Create a dashboard of Amazon Monitron devices with Amazon Managed Grafana.

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7 Best Intercom Alternatives (By Use Case)

JivoChat

Reporting and Analytics: Use the integrated insights to measure and improve the entire customer experience. Q&A Engine: Crowdsource answers and create a searchable FAQ database to resolve customer issues efficiently and authoritatively without answering repetitive questions. Pricing | CTA. Pricing | CTA.