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Using Lean Management & Human-centered Design to Improve Government Customer Experience

Taylor Reach Group

Improve: Improve the process by eliminating defects (unnecessary steps, decreased wait times, and shorter scripts). Control: Control future process performance (governance through new policies and procedures). The problems government thinks are pertinent, may not be relevant in the eyes of the taxpayer.

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The Case For the Anti-Script: A Multifactor Analysis of Script Adherence

Balto

“The anti-script doesn’t mean that you should wing it on every call… what anti-script means is, think about a physical paper script and an agent who is reading it off word for word… you’re taking the most powerful part of the human out of the human.” Share on Twitter. Share on Facebook.

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Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning

MLOps – Model monitoring and ongoing governance wasn’t tightly integrated and automated with the ML models. Reusability – Without reusable MLOps frameworks, each model must be developed and governed separately, which adds to the overall effort and delays model operationalization.

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20 Business Leaders Share How Call Centers Can Address Increased Customer Vulnerability

Callminer

Adrian Travis is the Founder and President of Trindent Consulting. The pandemic has made it difficult for customers to establish contact with many businesses and government departments…”. Carol Tompkins is the Business Development Consultant at AccountsPortal. Courtney Quingley is a Reputation Consultant from Rize Reviews.

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Enable fully homomorphic encryption with Amazon SageMaker endpoints for secure, real-time inferencing

AWS Machine Learning

upload file(fname) In this example, we’re using script-mode on a natively supported framework within SageMaker ( scikit-learn ), where we instantiate our default SageMaker SKLearn estimator with a custom training script to handle the encrypted data during inference. default_bucket() upload _path = f"training data/fhe train.csv" boto3.Session().resource("s3").Bucket

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The Future of Debt Collection Agencies: Contact Center Technology and Customer-Centric Strategies

NobelBiz

this is governed by the Fair Debt Collection Practices Act (FDCPA), which sets guidelines on how collectors can conduct themselves, the times and methods by which they can contact debtors, and the actions they are prohibited from taking. In the U.S.,

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Accelerate machine learning time to value with Amazon SageMaker JumpStart and PwC’s MLOps accelerator

AWS Machine Learning

With a comprehensive suite of technical artifacts, including infrastructure as code (IaC) scripts, data processing workflows, service integration code, and pipeline configuration templates, PwC’s MLOps accelerator simplifies the process of developing and operating production-class prediction systems. Connect with him on LinkedIn.