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Few-shot prompt engineering and fine-tuning for LLMs in Amazon Bedrock

AWS Machine Learning

Traditionally, earnings call scripts have followed similar templates, making it a repeatable task to generate them from scratch each time. On the other hand, generative artificial intelligence (AI) models can learn these templates and produce coherent scripts when fed with quarterly financial data.

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

Callminer

Firstly, contact centers can make use of call analytics software to analyze past call recordings and use them to train agents how to identify vulnerable customers. Older citizens, the unhealthy, and those in low-income areas have always been targets for social engineering. You can also inform them of their increased vulnerability.

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Audio Capture Powers Automated QA & Real-Time Agent Guidance

OrecX

Some of those ways include: Automated QA - Organizations can now capture and automatically analyze (with the addition of AI and speech analytics ) all their agent calls rather than a mere sampling, without adding more supervisors and quality evaluators. Supervisors can then intervene live to stave off any issues.

Scripts 127
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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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Build an image search engine with Amazon Kendra and Amazon Rekognition

AWS Machine Learning

To address the problems associated with complex searches, this post describes in detail how you can achieve a search engine that is capable of searching for complex images by integrating Amazon Kendra and Amazon Rekognition. A Python script is used to aid in the process of uploading the datasets and generating the manifest file.

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Bring legacy machine learning code into Amazon SageMaker using AWS Step Functions

AWS Machine Learning

We demonstrate how two different personas, a data scientist and an MLOps engineer, can collaborate to lift and shift hundreds of legacy models. SageMaker runs the legacy script inside a processing container. We assume the involvement of two personas: a data scientist and an MLOps engineer.

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How to Successfully Implement Customer Journey Analytics – Part 1

Pointillist

Companies are increasingly benefiting from customer journey analytics across marketing and customer experience, as the results are real, immediate and have a lasting effect. Learning how to choose the best customer journey analytics platform is just the start. Steps to Implement Customer Journey Analytics. By Swati Sahai.