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Customized model monitoring for near real-time batch inference with Amazon SageMaker

AWS Machine Learning

Real-world applications vary in inference requirements for their artificial intelligence and machine learning (AI/ML) solutions to optimize performance and reduce costs. SageMaker Model Monitor monitors the quality of SageMaker ML models in production. Your client applications invoke this endpoint to get inferences from the model.

Scripts 89
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Build a generative AI assistant to enhance employee experience using Amazon Q Business

AWS Machine Learning

In today’s fast-paced business environment, organizations are constantly seeking innovative ways to enhance employee experience and productivity. There are many challenges that can impact employee productivity, such as cumbersome search experiences or finding specific information across an organization’s vast knowledge bases.

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Improve prediction quality in custom classification models with Amazon Comprehend

AWS Machine Learning

Artificial intelligence (AI) and machine learning (ML) have seen widespread adoption across enterprise and government organizations. Processing unstructured data has become easier with the advancements in natural language processing (NLP) and user-friendly AI/ML services like Amazon Textract , Amazon Transcribe , and Amazon Comprehend.

Benchmark 114
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Call Center optimization: Tools and best practices to increase performance

NobelBiz

Call center optimization is a strategic approach that focuses on enhancing the efficiency and effectiveness of call center operations. This article delves into the essential aspects of call center optimization, including the tools and best practices that can drive performance improvements.

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Do You Use the Right Measures for Your CX?

Beyond Philosophy

The Types of Data for Your Metrics. Peppers says there are two different types of data that feed your metrics: Voice of Customer (VOC) Data: Peppers calls these metrics interactive data, meaning your customer interacts with you through a poll. Some examples are Net Promoter Score ® (NPS) or Customer Satisfaction surveys.

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Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning

This post was written in collaboration with Bhajandeep Singh and Ajay Vishwakarma from Wipro’s AWS AI/ML Practice. This increases the cost of infrastructure maintenance and hampers productivity. Its AI/ML solutions drive enhanced operational efficiency, productivity, and customer experience for many of their enterprise clients.

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Why Every Contact Center Manager Should Consider Voice-Driven AI

SmartAction

Artificial Intelligence (AI) provides an unprecedented opportunity to revolutionize the call center experience for the 59% of your customers who prefer telephone communication. Conversational AI technology over the phone goes beyond chatbots to leverage the power of voice and offer a more personal experience.