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Scheduling Software for Call Centers: Buying Tips & Best Practices

Callminer

That’s why it’s important to make use of the best tools available for the job.” ” – 15 Best Practices For Effective Call Center Management , Sling. Best Practices for Leveraging Your Call Center’s Scheduling Software. Look for scheduling tools that come with free updates.

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Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

AWS Machine Learning

It also helps achieve data, project, and team isolation while supporting software development lifecycle best practices. The MLE is notified to set up a model group for new model development. The MLE creates the necessary infrastructure pipeline to set up a new model group.

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Accelerating AI/ML development at BMW Group with Amazon SageMaker Studio

AWS Machine Learning

This post is co-written with Marc Neumann, Amor Steinberg and Marinus Krommenhoek from BMW Group. The BMW Group – headquartered in Munich, Germany – is driven by 149,000 employees worldwide and manufactures in over 30 production and assembly facilities across 15 countries.

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Use AWS PrivateLink to set up private access to Amazon Bedrock

AWS Machine Learning

For Security groups , select the security group with the group name Bedrock-GenAI-Stack-VPCEndpointSecurityGroup- and description Allow TLS for VPC Endpoint. A security group acts as a virtual firewall for your instance to control inbound and outbound traffic. Choose Create endpoint. Choose Save. With an M.Sc.

APIs 140
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How AWS Prototyping enabled ICL-Group to build computer vision models on Amazon SageMaker

AWS Machine Learning

David Abekasis leads the data science team at ICL Group with a passion to educate others on data analysis and machine learning while helping solve business challenges. He has an MSc in Data Science and an MBA. He was fortunate to research spatial and time series data in the precision agriculture domain.

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

AWS Machine Learning

Canary deployments allow you to minimize the risk of implementing a new model version by exposing the new model version to a smaller group of users to monitor effectiveness over a period of time. The benefit is the ability to isolate risk to a smaller group of users.

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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. Prior to joining AWS, Vrinda held a variety of leadership roles in Fortune 100 companies like UnitedHealth Group, The Hartford, Aetna, and Pfizer. He helps customers implement big data and analytics solutions.