解读大数据、云计算和人工智能三者间的关系


The IoT is an application expansion of the Internet, and rather than the Internet of Things being the network, the IoT is the business and applications. Therefore, application innovation is the core of IoT development, and innovation with user experience as the core is the soul of IoT development.

云计算相当于人的大脑,是物联网的神经中枢。云计算是基于互联网的相关服务的增加、使用和交付模式,通常涉及通过互联网来提供动态易扩展且经常是虚拟化的资源。

大数据相当于人的大脑从小学到大学记忆和存储的海量知识,这些知识只有通过消化,吸收、再造才能创造出更大的价值。

人工智能相当于为一个人吸收了人类大量的知识(数据),不断的深度学习、进化成为一方高人。人工智能离不开大数据,更是基于云计算平台完成深度学习进化。

Brief summary. Through the Internet of Things to generate and collect massive amounts of data stored in the cloud platform, and then through big data analysis, and even higher forms of artificial intelligence to provide better services for human production and life needs. This will surely be the direction of the evolution of the fourth industrial revolution.

云计算与大数据

Technically, the relationship between big data and cloud computing is as inseparable as the tails of a coin. Big data necessarily cannot be processed by a single computer, and a distributed computing architecture must be used. It features the mining of massive amounts of data, but it must rely on the distributed processing, distributed database, cloud storage and virtualization technologies of cloud computing.

Artificial Intelligence and Big Data

与以前的众多数据分析技术相比,人工智能技术立足于神经网络,同时发展出多层神经网络,从而可以进行深度机器学习。与以外传统的算法相比,这一算法并无多余的假设前提(比如线性建模需要假设数据之间的线性关系),而是完全利用输入的数据自行模拟和构建相应的模型结构。这一算法特点决定了它是更为灵活的、且可以根据不同的训练数据而拥有自优化的能力。

但这一显著的优点带来的便是显著增加的运算量。在计算机运算能力取得突破以前,这样的算法几乎没有实际应用的价值。大概十几年前,我们尝试用神经网络运算一组并不海量的数据,整整等待三天都不一定会有结果。但今天的情况却大大不同了。高速并行运算、海量数据、更优化的算法共同促成了人工智能发展的突破。这一突破,如果我们在三十年以后回头来看,将会是不弱于互联网对人类产生深远影响的另一项技术,它所释放的力量将再次彻底改变我们的生活。

人工智能与云计算

Artificial intelligence is the product of a combination of program algorithms and big data. Whereas cloud computing is the algorithmic part of the program, IoT is part of the root system for collecting big data. One can simply think: AI = Cloud + Big Data (partly from IoT). As the Internet of Things rolls out in life, it will become the biggest, most accurate source of big data.

Now that we have entered the era of big data, cloud computing and artificial intelligence, we must figure out their essence, seize the opportunity, keep up with the trend and innovate in order to be invincible in the tide of high-tech development.

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