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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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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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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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Contact Center Technology Stack: The (Immediate) Transformation You Need?

Ameyo Callversations

Next-gen technologies such as AI, ML, NLP, AR/VR, and more are capable of helping reduce cost and improving metrics such as revenues, wallet and market share, and steady cash flows. These span from a basic service around storage, networking, and computing to advanced frameworks for using AI and ML models.

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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. Because of the data-backed content, such campaigns will likely have higher conversion rates.

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B2B: When & Where AI for Customer Experience Fits

InteractionMetrics

It overly inflates expectations and distracts from the precise way ML will improve business operations,” writes Eric Siegel in the Harvard Business Review. Unstructured data is invaluable for understanding customers’ feelings and thoughts, but only if your analysis respects the nuances. It depends.

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Glossary of AI terms: Understanding GPT, neural networks, and more

Intercom

Deep learning algorithms are highly effective at processing complex and unstructured data, such as images, audio, and text, and have enabled significant advances in a wide range of applications such as natural language processing, speech recognition, and image recognition systems that include facial recognition, self-driving cars, etc.

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