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What is conversational AI?

Intercom, Inc.

Conversational AI (artificial intelligence) is technology that simulates the experience of person-to-person communication for users, either through text-based or speech-based inputs. Like most AI systems, NLP and machine learning operate by analyzing massive datasets in order to continuously yield more sophisticated outputs.

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Intercom’s product principles: Creating personal products by design

Intercom, Inc.

The use of embedded technologies like artificial intelligence, natural language processing, and machine learning within the product supports customers to set up processes in the way that works best for their team – resolving queries quickly for their end users, and in turn improving speed, efficiency, customer satisfaction, and brand loyalty.

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Understanding the Metaverse Experience: Explained in Seven Layers

The Product Coalition

While “pull” refers to an inbound system in which users actively seek out information and experiences, “push” refers to processes that notify users about the metaverse experiences that await them. Artificial Intelligence comes next. Five technology clusters power the metaverse. First, computing and networking power?—?spatial

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Emotion AI: How Far Can It Go?

The Product Coalition

But how do machines learn to detect emotions, and what business opportunities does emotion AI present? Later, these features are pre-processed and used to train a machine learning algorithm that can precisely predict the emotional states of users. Robots with emotions can perform complex tasks better.

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Building Resolution Bot: How to apply machine learning in product development

Intercom, Inc.

We are at the start of a revolution in customer communication, powered by machine learning and artificial intelligence. So, modern machine learning opens up vast possibilities – but how do you harness this technology to make an actual customer-facing product? The cupcake approach to building bots.

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Customer Support is being turned upside down. Here’s what you need to do about it.

Intercom, Inc.

The internet is moving more businesses and people online, and driving a huge increase in inbound support volume. Self-serve Support and bots to automatically answer all common customer questions, reducing inbound volume to support agents. This leads to more and more inbound support volume. This reduces inbound volume.

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8 Analytics Podcasts for Understanding Users and Mastering Data

Amplitude

What you’ll learn about from podcast: As a personal project of the three hosts, Partially Derivative covers data analytics topics, often closely related to deep learning, machine learning, and other AI topics. Partially Derivative explains complex deep learning concepts in a laid back, listener-friendly way.