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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.

CRM 26
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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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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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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.

AI 72
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The opinion of 6 experts on the future of contact centers in a post-corona world

Steven Van Belleghem

Most of the reactions below, mention automation as well, obviously: AI, analytics, chatbots, voice assistants, etc. Analytics and AI second: we apply analytics to interactions and processes, designing action plans based on insights. That will be a big part of the future of work and building a fantastic customer experience too.

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The Dark Data Goldmine and How Can AI Help Companies Unlock It

SugarCRM

For most companies using mediocre software, dark data can pose more risk than opportunity. But there’s light at the end of this data black hole: Artificial intelligence (AI) developers learned how to leverage unstructured data to generate predictive capabilities, helping companies utilize the unused data.