NTT and NTT DATA continue to expand innovative use of racing data to improve fan experiences across the NTT INDYCAR SERIES, including this year?s Indianapolis 500. Through 140-plus sensors on each racecar, NTT DATA captures and analyzes more than 8 billion racing data points in the NTT Smart Solutions Platform. Leveraging advanced AI and predictive analytics, the company shares near-real-time insights and visualizations to fans both onsite and remotely for enhanced storytelling of key moments during events including head-to-head overtaking, race strategies, race winner predictions and more.

Additionally, the 300,000-plus fans onsite for the race benefit from data on wait times and flow across the 600-plus acre venue calibrated every 30 seconds. Fans at the Indianapolis 500 or other events at the Indianapolis Motor Speedway can experience NTT DATA Smart Venue technology, sustainability solutions and live race data at the Pagoda command displays. For example, AI-enabled optical detection technologies improve security and traffic flow, and when combined with digital ticketing, provide real-time and future prediction wait times at the event gates and concessions.

This allows fans at the world?s largest single-day sporting event to move through the venue as safely and efficiently as possible. Whether at the racetrack, at home or on the go, fans of the NTT INDYCAR SERIES can also tap into the INDYCAR App powered by NTT DATA to stay up to date on all the latest developments. The App allows fans to get even closer to the action with real-time, AI and advanced analytics providing racing insights that include live scoring and viewing of the drivers in action courtesy of 15 in-car cameras.

The App, which historically engages more than 70,000 users on race days, is available for download from the iOS App Store and Google Play. NTT DATA also continues to enable other similar innovative experiences to benefit fans and increase engagement across all mediums including social media, the web and television or streaming broadcasts, through reliable technology and services that deliver deeper data insights. NTT Embodied Knowledge technology is being explored for future use cases including medical surgery training, coaching and fan experiences in sports.

Future applications include employee training across retail, education, and manufacturing, as well as enabling AI-robots to learn how to move and react the way humans perform tasks from restocking shelves to in-home caregiving. The effort is part of the more than $3.6 Billion NTT invests each year in research and development, uncovering innovations that have commercial impact for their customers.