Remove Customer Experience Remove ML Remove Unstructured Data
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The new dawn of Machine Learning

Intercom, Inc.

Here are some of our favorite takeaways from the conversation: Neural networks have made significant headway in the past five years, and they’re now the best way to deal with unstructured data such as text, images, or sound at scale. While it’s likely that more realistic claims close fewer accounts, it pays off in customer retention.

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How AI and Omnichannel Support Elevate Customer Service in Call Center

Hodusoft

Superior call center technology, which leverages AI and omnichannel communication, enables companies to route incoming calls to the right agents and departments as well as to give faster and superior service to customers. That mainly happens when customers don’t get connected to the right agents at the very outset.

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InMoment Completes Acquisition of Lexalytics, the Leader and Pioneer of Structured and Unstructured Data Analytics

Customer Think

InMoment bolsters set of customer experience management (CXM) solutions with latest acquisition adding robust natural language processing (NLP), and machine learning (ML) to InMoment's XI Platform.

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B2B: When & Where AI for Customer Experience Fits

InteractionMetrics

Artificial Intelligence is rapidly infiltrating new markets, and the customer experience sector is no exception. While customer experience artificial intelligence is still nascent, AI for customer experience shows tremendous promise, both as a tool to measure experience and as a lever to improve it.

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VOZIQ Customer Intelligence Roundup – May Edition

VOZIQ

It’s more important than ever to keep up with the latest trends in customer churn. Shared Customer Experience: What Happens When Your CX Depends on Partners? Partnerships support elements of customer experience across the lifecycle of your customers. 5 Customer Experience Books You Must Read in 2022.

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Text Analytics vs Sentiment Analysis: Key Differences & Applications

SurveySensum

Both Work With Unstructured Data : Both text and sentiment analysis deals with unstructured customer data and feedback, such as texts, emails, surveys, social media conversations, online reviews, etc. Dont waste time sorting through endless customer feedback. Heres how they overlap.

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From OCR (Optical Character Recognition) to IDP (Intelligent Document Processing): The Evolution of Automation & AI in Financial Services

Lightico

IDP (Intelligent Document Processing): The Mastermind IDP elevates automation further by combining OCR’s text recognition with machine learning (ML) and natural language processing (NLP). IDP Pros: Intelligent Automation : Leverages ML and NLP to understand document context, extracting meaningful data with high accuracy.

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