Formula E is now harnessing Google Cloud AI to help reach its net zero goals. The electric racing series is focusing on making its global operations more efficient, from logistics to event management. This move shows how sports organizations are using cloud technology not just for sponsorship visibility but to deliver real business benefits and reduce their environmental impact.

Using Digital Twins to Improve Race Logistics and Cut Carbon

One of the key ways Formula E is using Google Cloud AI is through digital twins. These virtual models simulate race sites and logistics operations. By creating digital replicas of race venues and logistics workflows, the organization can plan and optimize site builds without needing to visit locations physically. This reduces travel, equipment transport, and overall emissions, especially for a global event with complex logistics.

The digital twin technology is also used to model the entire race infrastructure virtually, enabling engineers to test different scenarios. This helps minimize physical site reconnaissance and cuts down on heavy equipment transport, directly lowering Scope 3 emissions. Since Formula E has been certified as a net zero carbon sport from the start, such innovations are vital to maintaining that status while still delivering high-performance racing.

Boosting Workforce Efficiency with AI and Cloud Tools

Beyond logistics, Formula E is deploying Google Workspace combined with Gemini AI to streamline its internal operations. These tools help staff work more efficiently, speed up decision-making, and improve overall agility. The goal is to deliver faster, more responsive operations across all parts of the organization, from race planning to fan engagement.

This approach reflects a broader trend where generative AI is used to reduce administrative delays and improve productivity. It’s especially important for a dispersed team operating around the world, allowing them to collaborate smoothly and focus on sustainability goals.

One notable project involved using Google’s AI Studio and Gemini models during the ‘Mountain Recharge’ initiative. Engineers mapped the best route for the GENBETA car during a mountain descent, analyzing braking zones and calculating regenerative energy needed to complete a lap. This use of high-dimensional data, including terrain and energy consumption, demonstrates how AI can improve physical performance and efficiency in real-world conditions.

Enhancing Data Insights to Support Sustainable Growth

The partnership with Google Cloud also helps Formula E gather better data insights. By analyzing carbon emissions data and operational metrics, the series can identify areas for further improvement. This data-driven approach supports ongoing efforts to lower its carbon footprint while maintaining the high standards of racing.

Overall, the integration of AI and cloud technology is not just about technology for its own sake. It’s about making smarter decisions, reducing environmental impact, and ensuring the sport remains at the forefront of sustainability. As Formula E continues to innovate, its use of Google Cloud AI provides a blueprint for other sports organizations aiming to go green.

Inspired by

• https://www.artificialintelligence-news.com/news/how-formula-e-uses-google-cloud-ai-to-meet-net-zero-targets/

Sources

• fiaformulae.com
• google.com
• iottechnews.com