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The new dawn of Machine Learning

Intercom, Inc.

GPT-3 can create human-like text on demand, and DALL-E, a machine learning model that generates images from text prompts, has exploded in popularity on social media, answering the world’s most pressing questions such as, “what would Darth Vader look like ice fishing?” It’s all about artificial intelligence and machine learning.

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Help desk metrics: Elevate your customer support with the right insights

Intercom, Inc.

But with so much data to consider, how can you define the help desk metrics that matter for your team? Data alone won’t produce results, but it will help you to contextualize customer behavior and feedback to provide better service faster. 12 help desk metrics to track for more effective customer support.

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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 also driving an explosion in customer choice, allowing them to easily switch to businesses who provide better experiences. Delivering those better experiences requires a fundamentally new way to do customer support, a messenger-based approach that works at internet scale.

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The biggest challenges facing support teams right now (and how to solve them)

Intercom, Inc.

Over the course of the past year, the customer support landscape has changed for good. As brick-and-mortar businesses closed worldwide, companies and customers alike had to pivot to digital-first ways of doing business. According to recent research, however, many teams aren’t sufficiently equipped to meet these new challenges.

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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. Our Custom Bots and Resolution Bot already work for thousands of businesses every day. These bots help businesses deliver both radical efficiencies and better, faster support experiences.

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Market Gaps: 10 Ways to Spot Untapped Customer Needs

User Pilot

A market gap can be caused by missing functionality or poor user experience. Tracking user behavior in-app enables product teams to find ways to improve product experience. You can collect feedback from your customer base via in-app surveys, feedback widgets, interviews, and by monitoring social media mentions and reviews.

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How Does Scaled Data Labeling Work With Marketing?

Neil Patel

You can decrease overall costs while improving efficiency and machine learning processes with the right platform on your side. Data labeling is the process of analyzing raw data and labeling it to provide context to machine learning software, algorithms, and end-users. What Is Data Labeling? 5 Data Labeling Services.

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