Yobi AI
Colin Brown is a dedicated and experienced professional in the field of computer science. They have gained valuable experience in various roles, including as a Machine Learning Intern at AI.Reverie and as a Software Engineering Intern at MongoDB. Colin has also served as a Teaching Assistant for a machine learning course at Columbia University and has been involved in developing software solutions for companies like Easton Events. Currently pursuing a Master of Science in Computer Science at Columbia University, Colin's expertise and skills make them a valuable asset in any technical role.
Yobi AI
Yobi's mission is to ethically democratize the AI revolution. Yobi empowers customers to leverage their existing first-party data to improve ML performance, hyper-personalize experiences, and acquire new customers. Effective AI requires more data than enterprises have today. Yobi’s Foundation Model built on Consumer Decisions (petabytes of consumer signals grounded by trillions of dollars of spend, modeled at 200B parameters), creates a non-identifiable representation of consumer behavior. This representation maintains statistical equivalence with raw data without ever revealing personal information. As a result, businesses can integrate Yobi Data into all data acquisition and customer science capabilities. Built by Twitter, Spotify, Meta, Amazon, and Uber alums, Yobi is fueled by licensed, consented first-party consumer data, is 99% accurate, 5X more predictive (than traditional 3rd party data), and boosts ML performance by 15%.