ChatGPT and DALL-E have reached viral success in recent months - but can F1 benefit from AI in the strategy department? 📝 NobleF1 explores the idea:
It has also prompted many industries to evaluate the impact that advancement in AI technology will have on them in the next few years – both in terms of how it can be successfully exploited, and where it could also replace humans.
After all, it shouldn’t crack under pressure. It should in theory deliver the right answers based on evaluating a data set far wider than a human could ever get through, and it would never be worried about what the press writes about it the next day.The opportunities and challenges are something that McLaren has come to understand quite well through recent developments to improve its own strategy and software.
And it was that ability to have ready access to the kind of data and software that the team gets on the pitwall during F1 races – like tyre degradation analysis, and undercut/overcut predictions – that proved to be critical in its ambitions. As the Splunk system became a core part of the Esports team, it opened up avenues for some experiments in trying new things, which would not be possible in the environment of a normal grand prix weekend.
“Plus there's less complexity. You're not moving an IT rig around 20-something different locations around the world. For now, Splunk thinks that the technology is only at the stage where it can offer help in the decision-making process, rather than making the final call itself. “But there's so many parameters. You've got 20 drivers on the grid, you've got all the different variations, you've got people's driving styles, and people don't execute and behave as you sometimes expect.
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