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

NobelBiz

Traditional collection methods, such as persistent phone calls and letters, are making way for more nuanced, technology-driven, and customer-oriented strategies. This evolution reflects broader trends in consumer behavior, regulatory environments, and technological advancements.

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Build a cross-account MLOps workflow using the Amazon SageMaker model registry

AWS Machine Learning

When designing production CI/CD pipelines, AWS recommends leveraging multiple accounts to isolate resources, contain security threats and simplify billing-and data science pipelines are no different. Some things to note in the preceding architecture: Accounts follow a principle of least privilege to follow security best practices.

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Same Tactics, Different Scripts: What Contact Center Fraud Sounds Like in the Age of Coronavirus

pindrop

With verified account numbers and some basic information, a fraudster has all they need to execute fraud through the phone channel using convincing scripts involving the current crisis to socially engineer contact center agents and individuals. . The New Fraud Scripts. Travel-Related Inconveniences and Emergencies .

Scripts 79
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What Is Knowledge Engineering and Why Do I Need It for Chatbot Development?

Aspect

It also has to be engineered to fit different purposes and contexts. Higher levels of functionality are enabled by layering on capabilities and technologies with a foundational knowledge architecture. No, there are simple, static bots that can be developed with scripting tools. Is this approach always needed?

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SambaSafety automates custom R workload, improving driver safety with Amazon SageMaker and AWS Step Functions

AWS Machine Learning

They had several skilled engineers and scientists building insightful models that improved the quality of risk analysis on their platform. SambaSafety’s data science team maintained several script-like artifacts as part of their development workflow. SambaSafety connected with AWS account teams with their problem.

Scripts 77
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Train and deploy ML models in a multicloud environment using Amazon SageMaker

AWS Machine Learning

In these scenarios, as you start to embrace generative AI, large language models (LLMs) and machine learning (ML) technologies as a core part of your business, you may be looking for options to take advantage of AWS AI and ML capabilities outside of AWS in a multicloud environment. Export the PyTorch model as an ONNX model. The Azure CLI.

Scripts 99
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Everything You Need to Know About Auto Attendant

Hodusoft

That’s nothing but auto attendant, a technology that revolutionized the way organizations and other professional entities handle massive volumes of incoming calls. Pros of Using Auto Attendant Cons of Auto Attendant Auto Attendant Scripts – What to Record? Auto Attendant Scripts – What to Record? What is an Auto Attendant?