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IT'S ALL ABOUT THE DATA

机译:这完全是关于数据的

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摘要

When it comes to the construction industry machine learning means many things. However, at its core, it all comes back to one thing: data. The more data that is produced through telematics, the more advanced artificial intelligence (AI) becomes, due to it having more data to learn from. The more complex the data the better for AI, and as AI becomes more advanced its decision-making improves. This means that construction is becoming more efficient thanks to a loop where data and AI are feeding into each other. Machine learning is an application of AI that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. As Jim Coleman, director of global IP at Trimble says succinctly, "Data is the fuel for AI." Coleman expands on that statement and the notion that AI and data are in a loop, helping each other to develop. "The more data we can get, the more problems we can solve and the more processing we can throw on top of that, the broader set of problems we'll be able to solve," he comments.
机译:谈到建筑业机器学习意味着很多东西。但是,在其核心,它一切都回到了一件事:数据。通过远程信息处理的数据越多,更先进的人工智能(AI)成为了,因为它具有更多数据来学习。数据对AI的更好越复杂,而且AI变得更加先进的决策改善。这意味着由于数据和AI彼此喂养的循环,施工变得越来越有效。机器学习是AI的应用,该应用程序提供系统可以从经验中自动学习和改进而不明确编程。作为Jim Coleman,Trimble的全球知识产权主任简洁地说,“数据是AI的燃料。”科尔曼扩展了该陈述和AI和数据在循环中的概念,互相帮助发展。 “我们可以获得的数据越多,我们可以解决的问题越多,我们可以抛出更多的处理,我们可以解决的更广泛的问题,”他评论。

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