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The Suunto Ambit GPS-Enabled Watch Tracks Performance and Heart Rate

Suunto’s new Abmit GPS-enabled watch will allow users to live the futuristic dream of checking their watch for more than just the time, date and compass direction. This new watch is perfect for outdoor athletes because it not only provides GPS locations for when joggers get lost, but also monitors their performance and, with the heart rate belt, heart rates.

The watch is able to provide weather trends giving users an opportunity to plan or evacuate their expeditions before getting pummeled by Mother Nature. The watch also calculates recovery time so that athletes know when they can get up and going again. This watch is a wrist-level gym monitor. The Ambit GPS-enabled watch tracks all of the aforementioned information and then stores it so that it can be reviewed later and the information can also be uploaded Suunto’s Web community for relative evaluations.
Trend Themes
1. Gps-enabled Watches - Disruptive innovation opportunity: Develop advanced GPS features for watches to enhance outdoor activities and performance tracking.
2. Performance Monitoring - Disruptive innovation opportunity: Create wearable devices that track and analyze performance metrics for athletes and individuals in real-time.
3. Data Storage and Analysis - Disruptive innovation opportunity: Develop efficient systems for storing and analyzing data collected by wearable devices, enabling personalized insights and evaluations.
Industry Implications
1. Outdoor Sporting Goods - Disruptive innovation opportunity: Integrate advanced technology into sporting goods, such as GPS-enabled watches, to enhance outdoor activities and improve user experiences.
2. Wearable Technology - Disruptive innovation opportunity: Explore the potential of wearable devices for tracking performance metrics and providing real-time feedback and recommendations.
3. Data Analytics and Personalization - Disruptive innovation opportunity: Develop advanced data analytics tools and personalized platforms for storing, analyzing, and evaluating user data collected from wearable devices.

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