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Nowhere to Go But Up: Bold AI Predictions for 2022

Uniphore

However, in artificial intelligence (AI), the feeling is anything but cautious. Writing for The Wall Street Journal , technology columnist Christopher Mims observed, “we’ve entered a period of upheaval, driven by connectivity, artificial intelligence and automation.” That was before the global pandemic.

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Current Status of Speech (and Text) Analytics

DMG Consulting

Then there are the broader enterprise applications of IA: to identify new product opportunities, at-risk customers, legal risks, and the potential for fraud, just to mention a few. IA solutions can provide executives with insights into the reasons customers reach out and ask for help.

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7 Examples of What Businesses Can Achieve with Better Natural Language Processing

UJET

Natural language processing (NLP) is a branch of artificial intelligence that uses machine learning algorithms to help computers understand natural human language—not just what people are saying but also what they mean when they say it. There are examples of NLP in nearly every customer service process powered by AI.

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7 Examples of What Businesses Can Achieve with Better Natural Language Processing

UJET

Natural language processing (NLP) is a branch of artificial intelligence that uses machine learning algorithms to help computers understand natural human language—not just what people are saying but also what they mean when they say it. There are examples of NLP in nearly every customer service process powered by AI.

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2023 in review: Highlights from this year’s best conversations

Intercom

Same with customer expectations of the tech. We’re probably only a year away from people expecting to be able to expand on text within a text field, as one simple example. Let’s say a legal document. You can say to someone in your legal team, “Hey, I need a contract. And their legal team will be, “Yes, it does.”

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