Remove Analytics Remove Engineering Remove SaaS
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Build a video insights and summarization engine using generative AI with Amazon Bedrock

AWS Machine Learning

This post presents a solution where you can upload a recording of your meeting (a feature available in most modern digital communication services such as Amazon Chime ) to a centralized video insights and summarization engine. This post provides guidance on how you can create a video insights and summarization engine using AWS AI/ML services.

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Unleashing the power of generative AI: Verisk’s journey to an Instant Insight Engine for enhanced customer support

AWS Machine Learning

Verisk (Nasdaq: VRSK) is a leading data analytics and technology partner for the global insurance industry. Through advanced analytics, software, research, and industry expertise across over 20 countries, Verisk helps build resilience for individuals, communities, and businesses. He helps enterprise customers in the Northeast U.S.

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Principal Financial Group uses AWS Post Call Analytics solution to extract omnichannel customer insights

AWS Machine Learning

Principal is conducting enterprise-scale near-real-time analytics to deliver a seamless and hyper-personalized omnichannel customer experience on their mission to make financial security accessible for all. The CCI Post-Call Analytics (PCA) solution is part of CCI solutions suite and fit many of the identified requirements.

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Choose the Right Speech Analytics Technology

Aspect

In my last blog , we talked about the huge gulf between the value of speech analytics and the actual use of speech analytics in contact centers. When you pull back the covers, the differences are quite significant and can heavily influence the effectiveness of your new speech analytics system.

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Integrate SaaS platforms with Amazon SageMaker to enable ML-powered applications

AWS Machine Learning

A number of AWS independent software vendor (ISV) partners have already built integrations for users of their software as a service (SaaS) platforms to utilize SageMaker and its various features, including training, deployment, and the model registry.

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10 Steps to Immediately Improve Customer Retention With Journey Analytics

Pointillist

In this post, I take an in-depth look at why customer retention matters and the ten powerful ways in which customer journey analytics can help you immediately improve customer retention. Sure, that’s easy in subscription-based industries such as SaaS or telecom or insurance. What is Customer Retention?

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How Vericast optimized feature engineering using Amazon SageMaker Processing

AWS Machine Learning

One aspect of this data preparation is feature engineering. Feature engineering refers to the process where relevant variables are identified, selected, and manipulated to transform the raw data into more useful and usable forms for use with the ML algorithm used to train a model and perform inference against it.