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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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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?” Today, we have an interesting topic to discuss.

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Mastering Growth in the AI Era: How to Stand Out, Acquire Customers, and Raise VC Dollars with B Capital, Zetta, and Glasswing

SaaStr

Software engineering teams have been early adopters of AI coding assistants precisely because they provide an immediate, measurable lift. This is exactly backward. The winning approach: Start with employee-facing tools that deliver measurable productivity gains.

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Top 10 Trends for Data in 2024

Tom Tunguz

LLMs Transform the Stack : Large language models transform data in many ways. If you’re curious about the evolution of the LLM stack or the requirements to build a product with LLMs, please see Theory’s series on the topic here called From Model to Machine.

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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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The Where, When, and How of AI with Theory Ventures, Open AI, MotherDuck and Lamini

SaaStr

At SaaStr Annual , he was joined by Jordan Tigani, Founder and CEO of Mother Duck Maggie Hott, GTM at OpenAI , and Sharon Zhou, Co-Founder and CEO of Lamini to discuss the new architecture for building Software-as-a-Service applications with data and machine learning at their core.

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The Convergence of Data & Software Engineering in the Age of AI

Tom Tunguz

Core Eng Data Eng Products Data Products Microservices Data Mesh Service Level Agreements Data Contracts Access Control Data Security Observability Data Observability This convergence signals how far data teams have evolved into core engineering teams.