Crossing finish lines with data and AI The Genpact and Envision story Five lessons in prediction for racetracks and boardrooms

The The FIA Championship, is the world’s most disruptive motorsport series where drivers race cutting-edge CHALLENGE electric vehicles to razor-thin victories. By demonstrating the cars’ power on the Rethinking strategies as rules get a reboot track, Formula E is building a fan base that also embraces having electric vehicles The sporting world is increasingly data-driven, • The new Gen2 car’s extended battery life on the streets, reducing pollution and especially in racing where a hundredth of a second eliminated the need for pit stops to change cars combating climate change. can be the difference between winning and mid-race losing. is one of the most • The addition of a new team added two more cars But it’s not only the series that’s recognized and successful teams in this disruptive to an already competitive field innovative. Formula E is also witness championship. As a founding Formula E team, it has Even with world-class drivers and an expert to the evolution of the world’s first long focused on combining outstanding drivers and engineering and support team, Envision Virgin Racing instinctive racing team, the result of a expert engineering with technical innovation. saw the need for greater competitive advantage. unique partnership between Genpact Because data is so crucial to success, it sought a and Envision Virgin Racing. By bringing Entering the 2018-2019 Formula E season, partner that could help enhance race-day performance together the race team’s engineering Envision Virgin Racing faced several changes to by gaining greater insights at the right time using AI expertise with our data-science skills, the rules and new challenges that fundamentally and analytics. we’re improving collaboration, generating reshaped the team’s approach to each race: predictive insights, and enabling a more The team knew it had to accelerate and sharpen adaptive workforce. • Races changed from a fixed distance to a decision-making to improve energy management. timed race of 45 minutes plus one lap, making One priority was the ability to accurately predict the With our shared focus on using data for accurate energy management mission-critical number of laps left in any given race while taking into competitive advantage, we’ve enhanced • The introduction of a mandatory “attack account thousands of variables. In addition, the team Envision Virgin Racing’s ability to make mode” race element gave drivers an extra wanted to better understand its drivers’ strengths and lightning-fast decisions for superior boost of energy. Each team must decide when weaknesses on each circuit, and gain more detailed performance. to use to gain competitive advantage competitive intelligence.

02 | Case study Case study | 03 The power of undertake as part of their preparation. These Our insights reveal their strengths on the track so Augmenting motorsport prediction that they can learn from each other and make the most of their collective abilities. knowledge with data To optimize operations, we addressed the WORK and digital expertise uncertainty of the timed race. We designed In the season’s closing race in New York City, the Lap Estimate Optimizer (LEO), an AI- insights from the previous race combined with powered scenario engine, to quickly and the drivers’ simulator data showed the team the With our experience and skills in digital technologies, including AI and advanced analytics, we accurately predict the number of laps in a path to victory. Armed with fresh analysis, Robin worked to help Envision Virgin Racing make fully informed, winning decisions, at speed. race. LEO assesses in real time how thousands knew when to get the best use of attack mode of possible race situations – such as adverse and overtook his rival to secure the win. By In the first season of our multi-year partnership, we focused on three key areas: weather, crashes, red flags, changing track combining insights from multiple sources, the conditions, and more – can impact the total team continues to grow stronger with every race. Operations optimization – transforming race operations with accurate predictions number of laps remaining in a race. Genpact uses the same peak performance Building peak performance – uncovering detailed driver insights from simulator data With the predictive insight of knowing how approach to help businesses manage large- many laps are still ahead at any moment in scale change initiatives. Companies improve Alternative data analysis – using an untapped source of data to create profiles on competitors the race, the team can decide how best to outcomes, enhance the customer experience, approach turns and overtakes, when to use and reduce costs by capturing and analyzing attack mode, and how to balance speed and data from one project phase to the next. battery consumption. The team has found that LEO can predict the Taking an lap numbers ahead of its more classic methods and works particularly well in the extreme alternative route weather conditions drivers often face. In Paris, The third solution comes from our ability to for example, where it rained – and hailed – and draw insights from alternative data sources, in Santiago, a very hot race, LEO settled on the such as GPS and radio. By cleansing and right number many laps earlier, providing a analyzing publicly available GPS race data, for huge advantage. example, we can create heat maps that reveal rival drivers’ tendencies on the track. Race LEO’s benefits go far beyond a Formula E city strategists can then identify the drivers who are track. Think of a consumer goods company, likely to over-consume energy and how they for example. With accurate predictions, it can might behave on different parts of the circuit, make real-time decisions on market demands giving the Envision Virgin Racing drivers a that reduce costly stockpiles and delivery decision-making edge. delays. Such an agile supply chain can adapt to every scenario. Businesses across industries can benefit from this approach, too. Insurers, for instance, rely on large pools of data from many sources to make Collective intelligence the right claims decisions. By using AI to analyze To build peak performance, Genpact analyzed millions of auto-damage images, insurers’ the data from hundreds of pre-race simulator customers get almost real-time estimates on runs that drivers and repair costs and swift claims decisions.

04 | Case study Case study | 05 The Working with Genpact has been amazing. Getting that different LESSONS perspective means we can use Genpact’s knowledge of optimization from the wider world and apply it to motorsport. Get ahead with five key lessons Sylvain Filippi Over 13 races in 12 cities, Genpact’s data expertise has helped Envision Virgin Racing make real-time Managing Director and Chief Technology Officer, Envision Virgin Racing decisions that have enhanced performance and contributed to six podium finishes and a third-place finish in the team championship overall.

Our work together has revealed important lessons in digital transformation for race teams and Fortune 500 companies alike:

AI doesn’t replace people. Quite the opposite. AI augments a team’s industry, processes, 1 or expertise, and can’t exist without them. Insight from data relies on the judgment and context that only people can provide

With augmented expertise, it’s not just about increasing the volume of insights but also 2 their accuracy and timing so that you can act on them when you need them

Embed data and analytics in your company’s genes. To stay competitive, embrace 3 upskilling across your organization

Generating predictive insights alone is not enough. Teams must be able to easily and 4 quickly access and digest them, and then act

Nurture a team of teams with broad expertise – both internally and with partners. A 5 connected ecosystem that collaborates effectively to produce relevant, seamless solutions

Building on all these lessons, Envision Virgin Racing’s drivers and strategists now have tools that enhance their forward-looking decisions.

Through extreme heat, aggressive competition, a hailstorm, and nail-biting finishes, Genpact and Envision Virgin Racing are mastering how to stay ahead. And as our collaboration brings success to the racetrack, we’re taking what we’ve learned to boardrooms, helping ambitious businesses so that they too can transform at the speed of instinct.

06 | Case study Case study | 07 About Genpact

Genpact (NYSE: G) is a global professional services firm that makes business transformation real. We drive digital-led innovation and digitally-enabled intelligent operations for our clients, guided by our experience running thousands of processes primarily for Global Fortune 500 companies. We think with design, dream in digital, and solve problems with data and analytics. Combining our expertise in end-to-end operations and our AI-based platform, Genpact Cora, we focus on the details – all 90,000+ of us. From New York to New Delhi and more than 30 countries in between, we connect every dot, reimagine every process, and reinvent companies’ ways of working. We know that reimagining each step from start to finish creates better business outcomes. Whatever it is, we’ll be there with you – accelerating digital transformation to create bold, lasting results – because transformation happens here. Get to know us at Genpact.com and on LinkedIn, Twitter, YouTube, and Facebook. For more information visit https://www.genpact.com/instinctive-racing