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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. The hype strikes back. Paul, how are you? Thank you.

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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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B2B: When & Where AI for Customer Experience Fits

InteractionMetrics

Artificial Intelligence is rapidly infiltrating new markets, and the customer experience sector is no exception. 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. It depends.

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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.

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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.