Among the world's top ten, mountain cloud collapsed again attempted to use AIoT

In recent years, as China's largest independent cloud service providers, Jinshan Yun development can be described as fast and stable.

"Fast" is reflected in the rapid growth of Jinshan Yun revenue. According to the International Data Corporation (IDC) for the first time issued the "global public cloud services market (the second half of 2018) Tracking" report shows that, among the world's top ten mountain cloud IaaS service providers, cloud computing market in China overall context of rapid growth, a rising star in Jinshan Yun's performance can be described as outstanding.

"Stability" is of deep plowing Jinshan Yun industry for sure. Jinshan cloud while maintaining consistently good games, video and other Internet services leading the same time, to expand the financial, government, healthcare, real estate, manufacturing, human settlements and other industries, and precipitated a series of solutions, to promote the digital transformation of traditional industries.


Among the world's top ten, mountain cloud collapsed again attempted to use AIoT

IDC data: Jinshan Yun ranked the top three Chinese Internet public cloud

With the rapid rise of a new generation of ICT 5G, networking, artificial intelligence, big data, etc., not only to trends in technology integration is becoming increasingly apparent, the user drives new business, new demands, the birth of a large number of new challenges, but also indicates that cloud calculation of the second half kicked off, the market structure or regenerative converter. To this end, Jinshan Yun from technology, products, industry best layout AIoT, fired the first shot of the second half, breaking the cloud.

What cloud computing in the second half to see

As we all know, cloud computing has begun to go deep into all walks of life. Meanwhile, 5G, AI, networking, big data technologies such as gushing and hair, to change and reshape the industry had a great impact, new scenes, new demands will be a substantial soon.

All of this change, indicates that cloud computing will be the focus of the second half due to new technology-driven huge incremental market, but also to the development of the next phase of cloud vendors presented many challenges. In my view, the next major cloud vendors are faced with three major challenges.

Among the world's top ten, mountain cloud collapsed again attempted to use AIoT


The first is the integration of a number of new technologies. In recent years, technology integration trend is clearly, technology integration and overlay effects begin to be felt, but it also brings many challenges. For example, 5G + of things, related to communication transmission, data access, data analysis, AI training and many other technologies, which undoubtedly requires cloud vendors are able to control for a number of technical, integration and utilization.

第二是行业新场景的探索与落地。各行各业在数字化转型的过程中,对于业务智能化有着巨大的需求。比如在金融行业,随着AI、大数据、云计算等技术开始大量融入到日常业务之中,开始诞生大量基于人脸识别、语音、NPL的应用需求和场景。因此,云厂商们除了基础云服务之外,还需要将自身的技术、产品与服务与行业场景进行适配,探索新技术在行业场景的落地。

最后则看新场景的生态打造。越来越多的新场景和新应用需要有不同的厂商参与进来,像AIoT本质上是物联网+人工智能+大数据等技术催生出来的一个智能化生态体系,需要包括芯片、设备公司、应用公司、云厂商们等上下游参与进来。这实际上也驱动着云厂商们需要进一步打造自身的生态。

AIoT成必争高地

AIoT将会是云计算下半场的市场必争高地。

AIoT作为ICT技术融合趋势的典型代表,被认为是未来各个行业的核心驱动力,在智能制造、智能家居、车联网与自动驾驶、智慧城市等领域有着广泛的应用前景。AIoT的兴起表明在智能时代中,单纯的“互联”已经没有任何意义,需要让万物从互联到“智联”才具有巨大价值。当前,AIoT处于快速发展的阶段,并且其外部各项条件已经逐步走向成熟,预示着未来将会成为市场中最大的角力点。

首先,大量智能设备开始融入到人们的工作与生活之中,使得AIoT的外部市场条件已经形成。根据相关调研数据显示,2019年中国物联网市场规模首次突破了万亿元,物联网终端用户达到4.65亿,物联网在交通、物流、环保、医疗、制造、智慧城市、能源、家居等行业开始得到规模化应用。以智能家居的智能音箱为例,根据Strategy Analytics数据显示,2018年中国智能音箱的出货量就同比增长了12倍。

Among the world's top ten, mountain cloud collapsed again attempted to use AIoT


其次,ICT技术的融合加速了AIoT相关技术的应用。AIoT融合了通信、信息等多项技术,5G、深度学习、芯片等技术快速发展推动了AIoT的落地速度。比如,5G网络的商用之后,将带来百亿级的链接能力,并将大幅提升数据的传输、读取和共享速度;而深度学习技术的成熟则为云端、边缘端的人工智能训练提供了保障;大量AI芯片的出现也加速了人工智能训练与应用的速度。

此外,AIoT的场景落地探索正在加速。AIoT在零售、制造、家居、酒店、园区、出行、政务、金融等行业的应用场景正呈现出加速增长。像智能家居中通过语音唤醒、指挥各种智能终端设备已经深入到日常家居生活之中;而制造业中通过物联网设备收集设备状态数据,从而实现实时分析和了解设备状况等,越来越的场景创新开始涌现。

在今天,云计算为物联网所连接的海量终端设备提供了算力保障,大数据则为物联网产生的海量数据提供了分析保障,而人工智能强大的学习能力则提供了进化保障。因此,物联网、大数据、云计算、人工智能之间融合而成为的AIoT,将会是各大行业数字化转型过程中迈向智能的最佳通道,也将成为物联网未来发展的必然趋势。

正因为如此,金山云近年来动作频频,抢先布局AIoT。

一纵一横+生态:金山云抢先布局AIoT

事实上,金山云是市场的“觉醒者”,成为最早布局AIoT的云厂商之一。相比于其他厂商,金山云对AIoT的布局更加清晰+果断,并形成了自身独特的优势。笔者认为,用“一纵一横+生态”来概括金山云在AIoT领域的布局。“一纵”指的的是金山云在AI领域有着全栈能力和产品;“一横”则是金山云在工业制造、智能家居、智慧园区等七大领域的应用场景布局与实践;而“生态”则是金山云与包括小米等众多公司在内的合作伙伴构建起的大生态。

金山云是目前市场中少有的拥有全面“纵向”能力的云厂商。金山云拥有覆盖基础层、数据层、平台层、应用层和行业层的完整AI和大数据能力。早在2017年就正式推出了金山云KAP人工智能云,目前已经构建起从IaaS到PaaS再到SaaS层的全栈AI能力和产品。金山云在IaaS层可以提供业界最丰富的AI异构高性能计算服务;深度学习平台(KDL)则是国内云厂商中首个实现商用的AI PaaS平台;金山云在在SaaS层可以为合作伙伴提供AI所需要的图像识别、语音识别、NLP等方面的能力。此外,金山云还构建起构建了覆盖数据集成、数据管理、数据开发、数据分析和数据可视化完整的大数据能力。

Among the world's top ten, mountain cloud collapsed again attempted to use AIoT

金山云积极探索AIoT在行业场景中的落地

在“横向”方面,金山云近年来积极探索AIoT在各大行业中的落地,并且已经逐步沉淀出视频、金融、工业制造、智慧物联、智慧住宅、智慧园区、智慧医疗等七大领域的AI应用方案。像在智慧物联领域,金山云打造出智慧人居为核心的AI-House AIoT开放平台,通过AI-House,可以打造出面向智慧园区、智慧酒店等不同细分应用场景的AIoT解决方案;而在工业制造领域,金山云打造的工业云平台则提供包含智能装备、机器视觉、智能系统、工业系统安全、企业软件五大领域的业务能力,通过将这些服务与制造企业的各类场景相结合,推动AIoT在工业制造领域的落地。

此外,金山云的AIoT生态有着独特优势。首先,金山云与小米等公司形成了强大的生态链,金山云提供从平台、终端硬件、到传感器设备的全面“云+AIoT”技术服务能力。目前,小米已经成为全球第一的消费AIoT体系,连接IoT设备数量超过1.71亿台。此外,金山云还与包括亿达中国、云从科技等一批合作伙伴建立起合作关系,丰富了自身的AIoT生态。

Overall, the cloud computing era ××× enclosure will be phased in gradually enterprises and institutions to complete the cloud trend, how to provide users closer to the actual business needs of service will be the main theme of the cloud computing market in the second half, and AIoT is the best in the market direction. There is no doubt that the full layout of the second half mountain cloud computing in the cloud desire to have more and more as.


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Origin blog.51cto.com/yuanshaolong/2428231