AI Use Case Series: AI in Fitness and Wellness [AI Today Podcast]
AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion - Un pódcast de AI & Data Today - Miercoles
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AI continues to impact and enhance every industry. From better nutrition, better sleep, practicing mindfulness and meditation, to improved insights on one's overall health AI is having a big impact on fitness and wellness. In this episode of AI Today hosts Kathleen Walch and Ron Schemzler share AI's impact on the fitness and wellness industry. Wearable devices enhance fitness with AI Wearable technology is becoming an integral part of people’s modern fitness and wellness journeys. Now, with the help of AI, the data gathered from these devices is even more valuable. In this episode we discuss how wearable tech such as smartwatches or rings provide real-time stats throughout the day. This includes stats and data on how active they are, track their heart rate, calories burned, and even sleep data. AI-powered wearables are also allowing users to make adjustments in real-time to prevent injury, over exertion, or recommend additional adjustments. AI helping to personalize fitness and wellness offerings AI is assisting in delivering customized experiences to users. Kathleen and Ron discuss how AI-driven fitness apps are creating tailored workout plans based on an individual’s data. They also provide examples of how apps are using computer vision to assist users with meal tracking and counting calories. Mindfulness and meditation apps are also growing in popularity. Many are now using AI to adapt to user feedback and provide personalized recommendations and content. AI is making significant strides in the fitness industry providing personalized training programs, enhancing wearable technology, and helping people better track their diets and sleep. Listen to this podcast to dig deeper into how AI in being used in the fitness and wellness industry. Show Notes: CPMAI Certification How To Make AI Your Secret Weapon For Achieving Your Fitness Goals