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Big Event Planned? Dial Up a Call Center for a Streamlined, Successful, Stress-Free Experience!

TeleDirect

Your next big event can’t afford to fail. From promoting new products & services to attracting customers at trade shows and conventions, what happens before your seminar is just as important as your presentation during the main event. We’re confident you’ll have everything taken care of for your event. Seminar assistance.

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Promote pipelines in a multi-environment setup using Amazon SageMaker Model Registry, HashiCorp Terraform, GitHub, and Jenkins CI/CD

AWS Machine Learning

Policy 6 – Attach CloudWatchEventsFullAccess , which is an AWS managed policy that grants full access to CloudWatch Events. Under Advanced Project Options , for Definition , select Pipeline script from SCM. For Script Path , enter Jenkinsfile. For SCM , choose Git. For Repository URL , enter the forked GitHub repository URL.

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Deploy an MLOps solution that hosts your model endpoints in AWS Lambda

AWS Machine Learning

The key file for deployment is the shell script deployment/deploy.sh. Before we can run the shell script, complete the following steps: Open the deployment/app.py Sources the virtual environment activation script. After you approve your model in the model registry, an Amazon EventBridge event rule is triggered.

Scripts 75
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Build and train computer vision models to detect car positions in images using Amazon SageMaker and Amazon Rekognition

AWS Machine Learning

file, which will be the main entry point of the Lambda function: def lambda_handler(event, context): body_bytes = json.loads(event["body"])["image"].split(",")[-1] decode('utf-8') The Lambda function expects an event that contains a header and body, where the body should be the image needed to be labeled as base64 decoded object.

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How Call Center Artificial Intelligence is Transforming the Industry

Stafford Communications

For example, if AI determines the event to be an emergency, the call can immediately be directed to a live agent. These systems can identify key concepts through natural language processing and support agents with relevant knowledgebase content, customer information, approved scripts, and more. Agent Assistance.

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How Call Center Artificial Intelligence is Transforming the Industry

Stafford Communications

For example, if AI determines the event to be an emergency, the call can immediately be directed to a live agent. These systems can identify key concepts through natural language processing and support agents with relevant knowledgebase content, customer information, approved scripts, and more. Consulting & Compliance.

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Use your own training scripts and automatically select the best model using hyperparameter optimization in Amazon SageMaker

AWS Machine Learning

This post shows how Amazon SageMaker enables you to not only bring your own model algorithm using script mode, but also use the built-in HPO algorithm. We walk through the following steps: Use SageMaker script mode to bring our own model on top of an AWS-managed container. Solution overview. Find the metric in CloudWatch Logs.

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