Today I share an example of Slingshot-like thinking from the technology sector in which processors of Big Data borrow know-how from the race car industry to help create new value for customers — in the form of increased data processing speeds at reduced costs.
In Formula 1 racing, analyzing data with software to optimize hardware performance is key — it could make a big difference. Now this approach is heading inside the data center.
“If you start to think about what McLaren does, … they have the ability to extract thousands of points of data, in real-time display them and make sense of them, turn that around and better engineer their product,” said Kevin Malik, chief information officer and general manager of IO Labs. “The ability to refine those materials based on aerodynamic efficiencies (could mean) shaving off milliseconds — basically performance engineering. If they have to make one less pit stop, they may win a race.” IO is applying this model to its modules.
[Image via GreenBook.]