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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? We can’t assume the ML will always perfectly do what we want.

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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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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)? In most cases machine learning models don’t have a business understanding. Join us August 14th.

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Machine Learning Development: A Comprehensive Review of Booktest and Testing Tools

Lumoa

We’re tackling a complex yet crucial topic in machine learning and AI development. Think of this as a casual chat where we unravel the complexities of ML testing, making it digestible for everyone, regardless of their technical background. Because ML systems aren’t just coded; they’re trained.

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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.

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Wootric’s Deepa Subramanian on measuring the voice of the customer

Intercom, Inc.

Deepa joined me for a chat about everything from ways to prioritize customer experience to going all-in on machine learning. When building machine learning , large generic training models aren’t always the best. Lessons on building machine learning. Short on time? Deepa: I love telling this story.

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How Agentic AI in Auto Finance Will Shake Up the Industry

Lightico

Yet these traditional AI tools are often constrained by rigid rulesets or prebuilt machine-learning models that excel in well-defined tasks. Enhances Accuracy : Machine learning models reduce the risk of human errorslike typos or missed fields. These models excel at natural language understanding and generation.

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