F1 Racing Uses Data T-shirt Design

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Ahad
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Joined: Mon Jul 04, 2022 6:59 am

F1 Racing Uses Data T-shirt Design

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Machine learning is powerful, but isn't it only about analyzing what has happened? There should be no way to help humans make future decisions, right? Although the team is working hard to apply AI artificial intelligence, is there still a myth that "humans can make decisions"? Or the team wants to drive innovation, but doesn't know how to involve AI in future decisions? So, let's take a look at how Formula One (Formula One; F1) and cross-border e-commerce company VeryBuy have successfully created a new business model in the future by making robots "partners" of enterprises! From "analyzing the known" to "guiding the unknown", machine learning can also make decisions Although companies have been talking about AI applications in recent years, many organizations still misunderstand that machine learning can only help find out "what happened" (descriptive analysis) and "why it happened" (diagnostic analysis) Analysis of current situation. But you know what? Machine learning can guide organizations through the unknown road ahead by finding out "Will this happen again?" (predictive analysis) and "how to make it happen?" (indicative analysis), as if by business leaders.

Like "partners", both parties can jointly make future decisions. According to the latest statistics from IDC, an international research organization, as many as 42% of corporate executives believe that AI will play a key role in promoting organizational innovation, helping humans identify the consequences of various decisions and actions, and enabling companies to speed up the decision-making process T-Shirt Design
in a rapidly changing business environment. Although humans have long-term accumulated expertise in the field, according to a study published by cognitive psychologist George Armitage Miller in the 1950s, the human brain can only process 5 to 9 pieces of information at the same time. At this time, no matter how much and how rich the data is, it is useless. Since the human brain has its limits, let AI help! When the amount of data becomes larger and larger, choosing to participate in data collection, processing, and analysis through the AWS machine learning platform,

to find out the subtle information that is difficult for the human brain to identify, can make machine learning go from "analyzing the known" to "leading the unknown". Let innovation be a verb. Attention car fans! F1 wants to use 70 years of data to create a "future race" In 2018, Formula One (Formula One; F1) had already cooperated with AWS to apply machine learning to predict the best time for vehicles to enter the pit lane to change tires, and also stream the track data in real time, allowing organizers to grasp each car. performance, whether the racer will maximize his abilities, etc. However, do you think machine learning can only assist vehicles, drivers and organizers? Don't forget, the vast number of fans who are waving their flags and shouting outside the track are also the protagonists of this event! Therefore, the 70-year-old F1 is still like a lively young man, and is using it to accumulate more than a Jiazi of race data to create a data-driven "future race". From 2020, F1 and AWS will not only make good use of 70 years of race data, but also equip each F1 car with 300 sensors, which can transmit more than 1.1 million data points per second from the car to the pits. What to do with this data? They allow fans to deeply unders
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