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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. Thank you.

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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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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

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

All in all, it can be a bit overwhelming, so we’ve compiled a list of concepts and terms to help you better understand the brave new world of artificial intelligence. 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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