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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. New software engineers quickly learn that a lot of complexity arises from error handling.

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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?” AI has been quite overhyped in the past. Paul, how are you?

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Can AI Create a Fairer World? By Kriti Sharma

Mind the Product

In this thought-provoking keynote from #mtpcon London, Google Scholar and UN Advisor Kriti Sharma discusses the impact of artificial intelligence on decision making and what we, as product people, should be doing to ensure this decision making is ethical and fair. Avoiding bias relies upon better understanding the user.

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423: Transforming products into experiences – Geoff Thatcher

Product Innovation Educators

This speaker gave a keynote on transforming products into experiences: injecting the theme park industry’s experience model into product development. In other words, what can we learn from theme parks to help us do a better job creating products our customers love? My job was to make sure the customers experienced a clean pool.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale.

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Y Oslo 2024: When It Comes to Discovery, Something is Better Than Nothing

Product Talk

I started my career as a software engineer. Every single person that contributes to building a product, all of the makers in the room, we need to care about our customers, we need to make sure that what we’re building is going to work for them, and I want to introduce some ideas that will help you do that.

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Using Deep Learning to Find Beautiful Photos by Alex Miller

Mind the Product

In this ProductTank San Francisco talk Alex Miller, one-time software engineer in the content understanding team at Yelp, gives us a case study of using machine learning (specifically deep learning) to provide a ranking system that surfaces the most beautiful photos of a business to the top of their page.