In 2014, ABB FIA Formula E became the world’s first fully-electric, international, single-seater racing championship. It was as groundbreaking for the world of motorsport as the inception of car-to-pit telemetry in the 1980s.
Four seasons later, Formula E returns to the streets, from Hong Kong to Switzerland to the United States, with a raft of changes. There is a new car. A new team. And, a record-high number of drivers starting each race.
But the most disruptive participant this season isn’t wearing a helmet or sporting aerodynamic fins. It’s sitting in the Envision Virgin Racing garage, where Envision Virgin Racing, with professional services firm Genpact, is working to embed artificial intelligence (AI) into the team. This partnership will turn data into insight, and transform the team’s decision-making at high speed.
Speedy data science
Formula E races on the bleeding edge of automotive technology. It’s no surprise then, that today’s teams are inundated with data on everything from pre-race track conditions to detailed telemetry from sensors monitoring every major component and system in the car.
To make sense of this data deluge, Envision Virgin Racing is using Genpact Cora, an AI-platform that accelerates digital transformation, to cleanse, structure, and harness these deep and complex pools of data. The technology then identifies patterns, builds predictions, and makes recommendations about energy management, speed, or passing strategies using all available data—and does all of this faster than the team can, enhancing the work of the strategists and engineers.
This means pre-race strategy simulations are both more comprehensive and accurate. When race conditions change, drivers and their team strategists need to know which of the next-best actions to take. With improved simulations and predictive insights, the team can make better decisions under the highest pressure imaginable to drive competitive advantage and win races.
Data engineering tackles the rules
As a relatively new championship that embraces tomorrow’s technology today, Formula E is pushing electric vehicle technology, innovation, and fan engagement beyond convention. Annual changes to the sport’s regulatory framework apply as much to engineering as they do to ensuring the sport thrives as compelling entertainment.
For instance, since last season, the championship did away with mandatory pit stops. It changed from a fixed number of laps to a race of 45 minutes plus one extra lap. It added a higher-power attack mode to give drivers more opportunities to overtake rivals—exciting for fans but challenging for teams.
When the regulations change, drivers and engineers have to invest in understanding their impact. By using AI technology, Genpact is helping Envision Virgin Racing by applying optimization expertise and data engineering to the Formula E rulebook. Now, by converting the championship sporting regulations to structured data and annotating with timing data, voice, video, and text explanations of the rules, the team can instinctively apply the rules among thousands of other variables to all its decisions and secure stronger race-day performances.
(Machine) learning to be popular
Formula E limits how much power a driver can consume at any time. This is part safety measure, part battery preservation, and part competitive balance. At the same time, the championship authority also offers Fanboost, a social media vote that gives the most popular drivers a short burst of power above the normal guidelines. This provides a huge advantage and one that Envision Virgin Racing wants its drivers to have more often.
To secure that potentially race-defining benefit, Genpact is using customer journey-mapping and AI to help Envision Virgin Racing get closer to its fans, building detailed personas to find high-propensity voters, and identifying new ways to convert them into regular Fanboost supporters. With enhanced strategic planning, the team can determine the optimal conditions to use the boost. This is where fan engagement translates directly into extra power and winning results.
Becoming an instinctive racing team
Envision Virgin Racing added Genpact to the team to help become a more consistent winner. By embedding AI into the team’s neural wiring, it is connecting people, processes, and knowledge so that everyone can adapt to each scenario instinctively. This allows them to make accurate, proactive decisions that enhance performance and delight fans. This is how Envision Virgin Racing is becoming the first instinctive racing team.
Together, Genpact and Envision Virgin Racing are working to create a more connected ecosystem, capturing and sharing data, and improving how the team, its fans, and partners collaborate. With enhanced track-data quality, Genpact Cora is uncovering the predictive insights that sharpen strategy and race-day decisions. And, as the team spends less time managing data and more time on value-added tasks, they become more adaptive, with each person focused on where they can make the biggest difference, all in service to their common purpose: winning races.
Careful with the champagne
Even businesses with less exotic callings than a Formula E podium position can take advantage of AI. The same deep dive that Genpact Cora takes into the Formula E rule book can be done for banks who need to understand all the nuances of their cash reserves to stay in regulatory compliance. Consumer packaged goods companies can crunch the numbers on macroeconomic trends and weather patterns to find the right mix of stock levels and offers for the month or even weekend ahead. Those are trophy-worthy wins in their respective fields.
AI doesn’t wear a jumpsuit or a necktie and may react badly to being showered with champagne. But in every other way that matters, AI is a critical part of a high-performing team, helping next-generation organizations like Envision Virgin Racing compete and win.
Read more about Envision Virgin Racing and Genpact at www.genpact.com/instinctive-racing.
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