Building Innovative Sports Technologies For The Athletes Of Tomorrow With Brad Paz

  With data just at the tip of our fingertips, great innovations abound to take us closer to our potential. Founder and CEO of https://getzoptic.com/ (Zoptic), https://www.linkedin.com/in/bradpaz/ (Brad Paz), builds innovative sports technologies that optimize training for the use of amateur sports athletes. In this episode, Brad tells us how this idea came about and was conceived. He shares the process of how it captures metrics and videos of the athlete’s performance in a dynamic environment and delivers actionable insights to coaches. More on his entrepreneurial journey, Brad then imparts great wisdom on building products that are not only for today but also for the ever-evolving technologies of tomorrow. Don’t miss out on this insightful conversation fit not only for the athletes and coaches out there but also for those budding entrepreneurs. --- Watch the episode here:  Listen to the podcast here:[smart_track_player url="https://podcasts.captivate.fm/media/55a5e2f7-f044-42bf-80bd-d7cab5b5a5d5/blp-brad-paz.mp3" title="Building Innovative Sports Technologies For The Athletes Of Tomorrow With Brad Paz" image="http://businessleaderspodcast.com/wp-content/uploads/2018/04/BLP-SquareLogo-WhiteBlueBG1400x1400.png" background="default"] Building Innovative Sports Technologies For The Athletes Of Tomorrow With Brad PazWe’re incredibly fortunate to have Brad Paz. He's the Founder and CEO of https://getzoptic.com/ (Zoptic), which builds innovative sports technologies that autonomously capture metrics and videos of the athletes while they're in the field. Brad, thanks for taking the time to come on the show. Thank you. I was happy to be invited here. I look forward to our conversation. Tell us about your company and what it does. We build technology that captures a carbon copy of the athlete's performance in a dynamic environment, indoor and outdoor, and delivers actionable insight into the performance coaches or coaching staff. Ultimately, what we want to do is optimize training for the use of a