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

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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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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. Ask for a Free demo!

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Harnessing the Power of Generative AI in CRM

SugarCRM

However, with recent technological advancements, Artificial Intelligence (AI) and Machine Learning (ML) capabilities have become infused in all sorts of tools, and CRMs are no exception. Instead of repetitive manual tasks, your teams can focus on fostering deeper customer relationships or developing innovative ideas.

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