Artificial Intelligence is becoming more and more important to the world we live in. Mike’s guest today is Simon Crosby, the CTO at Swim.ai. Swim builds digital twins that are always learning because if you rely on an approach where you store data first and then analyze it later, you’re always behind. Swim is revolutionizing the AI landscape by analyzing the data and making predictions before the data gets stored.

In this episode, we talk about…

Various reasons why analyzing data on the fly in today’s world is so necessary (ie traffic patterns in a city being sent to a company like Uber needs to be done in real-time, not later)How the big question in the AI Ops world is about how to build a model, train it, and deploy it.How Swim works to build a model as the data comes in, analyze it, and then stream those predictions to their customers.The refresh rate on these Swim web agents that are continuously learning. Other models might respond to a user query, but this one is constantly working, so it just sees the data.How Simon got into AI, and the best direction for someone to move if they want to get into AI today.

Resources from this episode:

Follow Simon on TwitterCheck out Swim.ai

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