Remove Artificial Intelligence Remove Engineering Remove ML
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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. This post is based on that talk, and details our journey from early experimentation to release, as well as some valuable lessons we learned about how to implement machine learning (ML) in a real-world product.

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The new dawn of Machine Learning

Intercom, Inc.

Building ML products requires balance – it’s pointless to start with the problem if the solution is unattainable, but you shouldn’t start with the tech if it can’t meet real customer needs. ML teams tend to invest a fair share of resources in research that never ships. And you don’t need as much hand engineering of features.

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Ask the Expert: Your Topic Modeling and Machine Learning Questions Answered

Callminer

Our ongoing AI webinar series has been full of great audience questions on artificial intelligence, machine learning, and natural language processing. Is topic modeling supervised machine learning (ML)? What’s an “engineered category”? The goal is to find the topics in data. How can we validate the topic modeling results?

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How AI and Omnichannel Support Elevate Customer Service in Call Center

Hodusoft

How AI and Omnichannel Support Elevate Customer Service in Call Center “Just as electricity transformed almost everything 100 years ago, today I actually have a hard time thinking of an industry that I don’t think Al (Artificial Intelligence) will transform in the next several years.” Here are some of those: 1.

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How much historical data is needed for AI to improve forecast accuracy in workforce management?

DMG Consulting

Question: I have heard about artificial intelligence (AI) being used in workforce management (WFM) solutions. AI-enabled WFM solutions leverage machine learning (ML), an AI technology that is effective at finding patterns. How much historical data is needed for AI to improve forecast accuracy?

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How Agentic AI in Auto Finance Will Shake Up the Industry

Lightico

If you are following auto finance news you’ve probably seen that artificial intelligence (AI) continues to evolve, and we are witnessing the emergence of Agentic AI in Auto Finance a powerful iteration of AI that transcends mere content generation or structured workflows.

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Enhancing Enterprise Software Capabilities with AI and Machine Learning

Customer Think

For all living memory, enterprise software has been the engine that powers modern business. Both Artificial intelligence (AI) and machine learning (ML) are losing their futuristic status to becoming an essential part of […] Nonetheless, the enterprise software landscape is changing significantly.