Innovation originates everywhere, by anybody, and in many forms
InnerSourcing leverages ideas, innovation, and intellectual property from every person in our company to innovate for you. It improves collaboration and the quality of solutions, while reducing time to market. The culture, practices, processes, and tools for InnerSourcing are inspired by open-source communities, enabled by modern agile processes, frameworks, and software. It provides innovative, client-centric solutions using emerging technologies in new ways, breaking through traditional organizational boundaries.
InnerSourcing in action
The Tour de France has a worldwide fan-base and incredibly rich history, driven by Amaury Sport Organisation (A.S.O.). Although pro cycling is a highly technical, data-driven sport, the Tour de France was run almost devoid of technology.
In just three years, our advanced technology team has fundamentally changed the fan experience of the Tour de France. Leveraging IoT, private cloud, and other emerging technologies, we’ve incorporated live tracking, data-driven predictions, and analytics, as well as machine learning.
By harnessing our InnerSourcing program, A.S.O. uses the creativity and ideation of NTT employees, with incredible results. A ‘hackathon’ competition called ‘Le Code to France’ connected the challenge to our internal learn-to-code program, driving our own skills transformation.
Teams were formed by marketers, finance, sales employees, designers, and developers from across the business, globally. Competition organizers helped facilitate and connect members looking to apply their skills and passions to teams in need of talent, using our internal social and collaboration platforms. Creative culture and openness are core to the success of InnerSourcing.
Teams built everything from augmented reality, fantasy cycling games, chat bots, advanced analytics, and intuitive dashboards to virtual race assistants, and produced pitch decks, videos, and – in some cases – working prototypes.
The competition was won by team, ‘Mark Codendish’ from South Africa. Their fantasy cycling game concept let viewers choose their teams, compete against their friends, as well as an NTT fantasy team, driven by a machine-learning algorithm.