Sanjay Nichani: Working with the latest technology is always top of mind for us because we're always looking to enhance the Peloton experience. GN: Can you describe Peloton's development history with AI? When did it first become a priority, and how has it grown in importance? Specifically, we see that AI can be used to drive convenience, accountability, motivation, education, gamification, competition, collaboration and social connection within the fitness market. AI is something we're continuing to tap into at Peloton, and as we continue to conduct research, test products and speak with more people, including our Members - we're able to unlock additional ways that AI can improve the at-home fitness experience. Sanjay Nichani: This is a great question because we're seeing AI intersect with fitness more and more with consumers and their experiences. GN: Across the market, where are we seeing AI intersect with fitness? For insights into the future of smart connected home fitness (and some deeper understanding of just how embarrassed we're going to feel at a machine's consoling prods), I connected with Sanjay Nichani, Peloton's VP of Artificial Intelligence and Computer Vision. Guide's Movement Tracker can recognize a user's activity, encouraging and keeping them motivated to keep up with the Instructor's cues.ĪI is now a core tenant of Peloton and many other major home exercise brands. It uses computer vision and machine learning technology to create focused and well-rounded training experiences from home. Peloton Guide (Peloton's first connected strength device) is a good case study. Luckily, there are a few alternatives to Peloton available. It's hard to justify paying $2,300 for a smart exercise bike. Ukrainian developers share stories from the war zoneīest Peloton alternatives: Top smart exercise bikes Linux distros for beginners: You can do this!

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