Genpact, a global professional services firm focused on delivering digital transformation, has announced a strategic partnership with Envision Virgin Racing to drive long term performance transformation for the organization.
A key part of this initiative is Genpact’s use of artificial intelligence to analyze vast amounts of data and assess race performance patterns that will enable the team to identify hidden efficiencies and unlock new racing strategies.
With thousands of variables that change from race to race, AI and machine learning, applied to the right areas, can turn data into a competitive edge for Envision Virgin Racing’s drivers Sam Bird and Robin Frijns.
The partnership with Genpact will leverage the company’s deep process, domain and technology expertise, to drive transformative outcomes for the team.
This includes, using AI for pattern discovery to organize and make sense out of myriad information sources both within and outside the car – from mechanical aspects to environmental concerns like temperature and weather patterns to governance factors like race regulations.
“In a competitive racing environment, data is our ‘eyes and ears.’ We lose the data, we lose the race,” said Sylvain Filippi, managing director and chief technology officer at Envision Virgin Racing.
“Envision joined the team as majority owner at the beginning of this year to improve the team’s AI and IoT capabilities, working with Genpact will further strengthen these strategic areas.
“Our co-innovation with Genpact and Envision will deploy AI, machine learning, and other technologies to increase driver performance, improve strategy planning, and even boost our fan engagement.
“For example, the sensors on our cars sample data in various scenarios—from as low as once per lap to many times per second.
“Genpact’s analysis will identify pre-failure patterns, allowing us to pre-emptively replace sensors, and reduce the risk of a data blackout, or at its worst, a mid-race car retirement.”
Envision Virgin Racing and Genpact will analyze multiple data points to spot patterns that help the team’s strategists improve their algorithms, models, and simulations so they can plan a successful race with more accurate energy management and better in-race decisions about speed, power, and passing strategies.
Genpact will help Envision Virgin Racing cleanse, organize, and harness its vast volumes of data, whether structured or unstructured, internal or external, applying machine learning to release new predictive insights.
By combining deep analytics with car telemetry data feeds from more than a hundred sensors, the team improves pre-race strategy simulations and models that lead to more informed race-day decisions.
To improve the chances of securing Fanboost, Envision Virgin will work with Genpact to use customer-journey mapping to get closer to its fans, building detailed personas to find high-propensity voters, and identifying new ways to convert them into regular Fanboost supporters.
And with enhanced strategic planning, Envision Virgin Racing will be able to determine the optimal conditions to use the boost.