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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. AI has been quite overhyped in the past. Has this got to do with any particular chain of events?

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

Intercom

Are you intrigued by the possibilities of AI but finding it difficult to get to grips with all the technical jargon? Our AI glossary will help you understand the key terms and concepts. If you’d like to get more of our content about AI and automation delivered to your inbox, be sure to subscribe to our regular newsletter.

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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.

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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. According to this Gartner study , almost 80% of CRM buyers today search for AI capabilities when deciding. Generative CRM: What Is It?

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5 Reasons Why Traditional Retention Efforts Are Inadequate

VOZIQ

According to Gartner’s analysis, this is a significant opportunity cost because over 80% of today’s enterprise data is unstructured (e.g., Discover how VOZIQ AI navigates traditional churn model limitations and leverages AI and ML to help companies reimagine customer retention and drive profitability.

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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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B2B: When & Where AI for Customer Experience Fits

InteractionMetrics

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. There’s no question that AI is a powerful tool. “…for most [machine learning] projects, the buzzword “AI” goes too far.