Powering the Future: Building Your GenAI Infrastructure Stack

"What we are looking at is the AI agents Intuit has put in the product experiences. We are going to look at key aspects of AI agent development. Then we will have a deep dive into GenOS, short for Generative AI Operating System, which is our platform that helps scale and accelerate all these AI-powered experiences across our products. I'll also cover the other two pillars, the people and processes that helped make this platform successful."

"Intuit's mission is to power prosperity around the world. Our strategy is to be an AI-driven expert platform, for our 100 million consumers, small business, and mid-market customers. We help them make more money, save time eliminating their work, and help make financial decisions with complete confidence. Here are a few numbers to help illustrate the scale of our platform. I'm just highlighting the ML side of things."

"We have a platform generating 60 billion machine learning predictions per day. We have about 625,000 attributes per small business, and close to 70,000 attributes per consumer, which we have the permission to leverage in order to personalize the product experiences for our customers. On the business side, our platform processes close to $2 trillion worth of invoices. 18 million U.S. workers get paid through our payroll platform."

"One of the big bets at Intuit, this is called done-for-you experiences. That is where all our AI and agents are powering product experienc"

Intuit is building AI agent capabilities into product experiences and focusing on key aspects of agent development. The company uses GenOS, a Generative AI Operating System platform, to scale and accelerate AI-powered experiences across its products. Intuit also emphasizes people and processes that support platform success. The company frames its mission around powering prosperity through an AI-driven expert platform for consumers and small business customers. It highlights large-scale machine learning and data capabilities, including billions of daily predictions and extensive customer attributes used for personalization. It also points to major business workloads such as invoice processing, payroll payments, and tax refund processing.

Read at InfoQ