Pete Warden is a leading thinker, innovator and entrepreneur in visual AI, software and big data. In 2003, Pete created a set of 45 image processing filters that were able to detect features in video content at 30 fps on 2003-era laptops. Apple bought his technology and hired him to work on integrating it into Apple’s imaging-related products. In 2011, Pete co-founded Jetpac, serving as CTO and building the company’s technical team. This venture capital-backed startup created a unique product that analyzed the pixel data of over 140 million photos from Instagram and turned them into in-depth guides for more than 5,000 cities around the world. Pete joined Google in 2014 when Google acquired Jetpac. At Google, Pete led the development of the TensorFlow Lite machine learning framework for mobile and embedded applications, including a recently released experimental version of TensorFlow Lite for microcontrollers, which can be used on low-cost chips with less than 100 Kbytes of memory. In 2022 Pete left Google to co-found Useful Sensors, where he is currently the CEO. Useful Sensors creates low-cost, easy to integrate hardware modules that bring ML capabilities like gesture recognition, presence detection and voice interfaces to everyday appliances while preserving users’ privacy. Pete is a sought-after speaker and writes a popular blog at www.petewarden.com. He is the author of three O’Reilly books, “Public Data Sources”, “Big Data Glossary” and “Tiny ML”. He earned his B.S. in computer science from the University of Manchester, and is currently enrolled in a PhD program at Stanford University.