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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 3 – Attach AWSLambda_FullAccess , which is an AWS managed policy that grants full access to Lambda, Lambda console features, and other related AWS services.

Scripts 98
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Contact Center Trends 2021: The CX Watershed

Fonolo

As the focus of contact center turns to creating value rather than reducing expenses, KPIs like customer satisfaction and service level will become increasingly favored over metrics like Average Handling Time. FCR is the Most Important Metric. 2016: 50% of Global 1000 companies will have stored customer-sensitive data in the cloud.

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The Top 7 Call Center Quality Assurance Software Solutions

Voxjar

Founded in 2012. The next two vendors will hopefully introduce you to a new approach to quality assurance in your call center, powered by artificial intelligence and big data. They have some cool out of the box metrics like their Tethr Effort Score and some great shortcuts for setting up new analytics categories.

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Machine learning with decentralized training data using federated learning on Amazon SageMaker

AWS Machine Learning

The evaluation takes place on a testing dataset existing only on the server, and the new improved accuracy metrics are produced. He works with government, non-profit, and education customers on big data, analytical, and AI/ML projects, helping them build solutions using AWS.

Scripts 70
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Securing MLflow in AWS: Fine-grained access control with AWS native services

AWS Machine Learning

The MLflow Python SDK provides a convenient way to log metrics, runs, and artifacts, and it interfaces with the API resources hosted under the namespace /api/. He regularly speaks at AI and machine learning conferences across the world including O’Reilly AI, Open Data Science Conference, and Big Data Spain.

APIs 70
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Buddying Up – Putting Virtual Employee Assistants at the Heart of Agent Development

TechSee

When gamification is introduced into a contact center environment, agents compete to complete objectives and outpace colleagues in specific metrics such as hours worked and average speed to answer. This combination is used in Vodafone’s Welcome Team approach, which uses Big Data analysis to predict almost all potential onboarding issues.

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Achieve enterprise-grade monitoring for your Amazon SageMaker models using Fiddler

AWS Machine Learning

The notebook also provides a sample dataset to run Fiddler’s explainability algorithms and as a baseline for monitoring metrics. He founded his own big data analytics consulting company, Branchbird, in 2012. Now upload your training dataset. The dataset is also used to generate the schema for this model in Fiddler.