Athlete360: Driving Athlete Peak Performance with Open Source Data Analytics
Do you remember the time when Kobe Bryant dislocated his finger, popped it back in and continued playing? Do you remember when Michael Jordon played the championship finals with the flu? Well, those days are history and when modern athletes mistreat their bodies they require "load management" to recover.
The Athlete360 project is a collaboration between HPCC Systems and North Carolina State University to use data analytics to help the coaches at NC State understand the ways in which each athlete differs and, as such, requires different load management strategies. The initiative's goal is to gain peak performance from training while preventing injuries.
At this action-packed event we will discuss how we have leveraged data lakes, advanced analytics and machine learning for the Athlete360 project.
Some of the concepts that we will discuss include:
You may bring your laptop or tablet if you wish to explore these topics interactively.
Arjuna Chala is Sr. Director Technology Innovation for the HPCC Systems platform at LexisNexis Risk Solutions. With nearly 20 years of experience in software design, Arjuna leads the development of next generation big data capabilities including creating tools around exploratory data analysis, data streaming and business intelligence. Arjuna strives to understanding new technologies and bring innovative applications and design to the HPCC System platform.
Dedicated to development excellence, Arjuna served as a key member of the team to bring the HPCC Systems platform to the open source community. In his work with HPCC Systems community leaders and system integrator partners, Arjuna's efforts have contributed to the spread of HPCC Systems technology into the enterprise domestically as well as the international markets of China, Brazil, Europe and India. Arjuna has a BS in Computer Science from RVCE, Bangalore University.
Bahar represents HPCC Systems as a Technology Evangelist. Her interests lie in the design and development of big data solutions, specifically utilizing HPCC Systems and ECL.
Bahar is currently involved in innovations for enhancing the end user experience in HPCC Systems by building new cutting edge tools, libraries, and training. Bahar has an MS degree in computer science from Kennesaw State University.