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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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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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