November 6, 2024—Sand Technologies has announced fresh developments with Envision Racing, a participating team in the FIA Formula E World Championship, in the development of AI systems aimed at improving the team’s performance and strengthening sustainability goals.
Sand Technologies therefore in this collaboration will be providing AI technologies such as digital twins and computer vision which will enable Envision Racing to perform better on and off the track.
Such solutions will enable the team’s operations to be more efficient by enabling quicker, more evidence-based choices about all areas of their activities.
In order to enhance the results of race day activities and at the same time promote e mobilities. The partnership focuses on increased efficiency, new perspectives, and enhanced collaboration for improved decision-making.
“AI allows race teams to react with precision in the blink of an eye, to have a greater understanding of data interpretation, and to extend performance in the whole enterprise,”
This was mentioned by Fred Swaniker CEO of Sand Technologies. One of the AI system specialists also talked about the company’s impactful AI solutions and stated their agreement with the sustainability vision of Envision Racing.
Aside from improving performance, the collaboration will enable Envision Racing to deepen its fan interaction and promote the renewable energy message.
“It’s exciting for us to have Sand Technologies working with our team to make use of AI,”
Said Sylvain Filippi, Managing Director and CTO of Envision Racing.
“Equally important, they hold similar views and are committed to speeding up the transition to renewable energy.”
The partnership will additionally further Envision Racing’s Race Against Climate Change™ program, which has an audience of several hundreds of thousands of fans all of whom promote climate change issues worldwide.
Sand Technologies, a devoted partner, hopes to advance this cause further by creating tools that empower the adoption of EVs and the smart grid essential infrastructure.
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