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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. ML teams tend to invest a fair share of resources in research that never ships.

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How AI and Omnichannel Support Elevate Customer Service in Call Center

Hodusoft

Machine Learning (ML) In the last few years, ML is proving to be a game changer for call centers and customer-facing organizations. This technology is crucial for analyzing customer sentiments and extracting insights from unstructured data, such as social media comments or open-ended survey responses.

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How AI-Driven Contact Centers Can Improve Loan Approvals & Debt Recovery

Hodusoft

Machine Learning (ML) Machine learning algorithms are used to improve performance over time by learning from historical data. ML helps in analyzing past customer behavior and predicting future actions or needs.

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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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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. Heres how they overlap.

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VOZIQ Customer Intelligence Roundup – May Edition

VOZIQ

6 Reasons Why Unstructured Data Is Key to an Effective Retention Program. Retention requires gaining a better customer understanding, and unstructured data can help you do that. Applying AI and ML to data such as customer chats, agent notes, surveys, etc., Luckily, there are ways to do it well. Learn how!

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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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