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Using Big Data to Create Exceptional Customer Experiences

VocalCom

Big data has been a buzzword in the customer service industry for some time now. As every brand knows, all databig and small—can be applied in some manner to drive sales and improve customer service. Speech and text analytics. Web analytics. And how precisely should you use it?

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The Power of Voice Analytics

Spearline

With many millions of customer conversations happening each and every day, voice traffic is very much “big data”. This data offers insights to those who choose to look deeply. Voice analytics promises to measure customer emotion in each call. Voice analytics can also alert management to what is absent in a conversation.

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10 Unique Use Cases for Speech Analytics

Expivia

This week we will be talking about 10 unique use cases for speech analytics. Speech analytics is evolving to have use cases not yet thought of. For those of you who use speech analytics and want to expand the ROI for them, this is for you. Generating Marketing Data. Proactive Customer Service. Lets break that down.

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10 Ways to Improve Customer Service in The Financial Services Industry

CSM Magazine

The financial services industry is one of the most important sectors in the global economy. These companies are able to provide a smoother customer experience by leveraging cutting-edge technologies such as cloud-based banking, mobile apps, and Big Data analytics. It is also one of the most competitive.

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AI-based call center: How do they work?

NobelBiz

This evolution has been driven by advancements in machine learning, natural language processing, and big data analytics. Providing Real-Time Customer Insights AI tools process and analyze vast amounts of data in real-time, providing call centers with immediate insights into customer behaviors and trends.

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AI-based call center: How do they work?

NobelBiz

This evolution has been driven by advancements in machine learning, natural language processing, and big data analytics. Providing Real-Time Customer Insights AI tools process and analyze vast amounts of data in real-time, providing call centers with immediate insights into customer behaviors and trends.

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Achieve rapid time-to-value business outcomes with faster ML model training using Amazon SageMaker Canvas

AWS Machine Learning

Machine learning (ML) can help companies make better business decisions through advanced analytics. Companies across industries apply ML to use cases such as predicting customer churn, demand forecasting, credit scoring, predicting late shipments, and improving manufacturing quality.