By 2015, the "Internet +" was first written Chinese government work report, the whole country set off a burst after burst of the "Internet +" the wave.
It is from then on, cloud computing, big data, AI Artificial Intelligence, IoT Things emerging technologies in China began a rapid development, I humbly believe this is inextricably linked with the then China's environment and soil.
With the IT infrastructure has become an integral part of an enterprise doing business "water, electricity," how the transformation through IT technology help digitization has become a subject of more and more enterprises are most concerned about.
2019, "Smart +" first appeared in the government work report, causing great concern of many IT companies. Well, from the "Internet +" to "smart +" of this transition, actually has a kind of background? But also it reflects the kind of IT technology trends? For many urgent digital transformation of the business, how they should deal with the challenges of a new era?
From "Internet +" to "smart +": IT industry into the second chapter
IBM Greater China general manager of cognitive computing and cloud software business Zhang Yongjian told interesting technology, IBM Institute for Business Value conducted a survey for a number of Chinese business executives, the results show: there are as many as 81% of the company's management believes customer buying behavior is changing from strict product / service infrastructure to focus on hands-on, instead of the old traditional hardware and software specifications. Another 85% of executives believe the company after a good set of business goals, often encounter unexpected events, and these tend to come from the new competitive unexpected sources. In addition to emerging areas, many traditional industries are also trying to change, including automotive, manufacturing and other traditional industries, both in the introduction of many new technologies. Zhang Yongjian said: "So often we recently heard a saying that the IT industry began to enter the 'second chapter'."
So the question becomes: What is the "first chapter" and the "second chapter"? Zhang Yongjian think, the difference is mainly reflected in the following areas:
第一，如果“互联网+”时代被人们看成是第一篇章，这一时期企业的业务重点主要是通过智能终端等媒介与消费者开展互动，由消费者驱动创新，随着时间的发展和基本应用的扩大，后台也开始升级。而“智能+”时代的第二篇章有一个很大的变化，就是由企业来驱动产业，从企业的角度而不是消费者的角度来开展创新。
第二，第一篇章时期，IT企业研究AI人工智能应用时很多还停留在实验室，根据规划做预值和达到想要的目标，规模相对较小。但是在第二篇章，AI人工智能应用已经走出了实验室，实实在在地在各行各业落地，进入了实战阶段，其体量也是突飞猛进。
第三，我们目前处在一个多云的环境，许多企业在推动产业转变的时候，很多传统的应用和数据都还在核心系统里，但是他们同时也希望上云和使用SaaS服务，这个混合云+多云的时代也给IT企业提供了很好的机遇。第二篇章的重点，就是探讨整个混合环境应该怎么部署，如何实现应用的现代化。IBM以340亿美元的价格收购红帽，创下IBM迄今为止最大规模的一次收购交易，也是因为看到了这样的大趋势。
IBM大中华区云计算与认知软件业务总经理张永健
“除此之外，第二篇章还出现了新的游戏规则。第一，从一体设计的角度来说，很多时候都需要具备专业的知识、全方面的技术，才可以做出一个很好的蓝本，仅仅依靠一个点没法画好整个蓝图；第二，IT企业不仅要将各项技术集成一体，而且还需要对其设计、构建和运营进行统筹。IBM拥有咨询服务，有行业经验，有很多落地的产品、软件和解决方案，还有很多通力协作的合作伙伴。所以这个游戏规则就是既要有蓝本，也要有落地。”张永健表示，“本着以客户为中心的核心理念，IBM的战略有几个重要关键词，第一个关键词是要帮助客户变成认知型的企业；第二个关键词是在混合的环境里提供很多工具让大家做得更好；第三个关键词就是信任和安全。IBM有很好的安全软件和安全的服务，可以帮助客户放心地开启认知型企业的AI和云计算的旅程。”
面对混合云与多云挑战，IBM优势多多
IT行业迈入第二篇章之后，企业将会面临怎样的挑战？IBM又能如何帮助企业解决这些问题？
“在第二篇章里，企业关键业务的工作负载能够推动云的发展。然而目前许多企业有80%的工作负载还没有上云，如果把这部分负载上云的话，企业就会面临很大的挑战。IBM在中国市场已经遇到好几个这样的例子。”IBM中国开发中心云计算开发总经理吉燕勇说道。
作为云计算厂商，应当如何帮助企业解决这些挑战？吉燕勇指出，与其他云计算服务提供商相比，IBM云拥有非常多的优势，总结下来主要体现在五个方面：
第一，混合。IBM打造了一个行业领先的混合云平台，能够很好地解决客户当前面临的现实问题，譬如公有云、私有云、混合IP等。
第二，多云。IBM打造了一个多云管理平台，如果客户同时有用五到十个公有云，那么怎样才能把这个多云系统管理起来？IBM提供了很好的解决方案。
第三，开放。IBM一直秉承开放性的承诺，包括收购红帽的举措，也是为了积极拥抱开源和开放，继续加强IBM的开放性和开源的能力。
第四，安全。IBM在安全领域一直有着强大的技术优势，包括在企业级市场的云安全也是如此。
第五，管理。面对混合云和多云的环境，能够为企业提供一致性的管理，这也是IBM的优势所在。
正是以上这五点，构成了IBM在云计算领域的特殊优势。而在帮助企业客户上云方面，IBM不仅具备非常深厚的行业知识，而且还提出了14 in 4方法论，可以为客户提供全线的上云支持。“举个例子，中国某大银行一级分行有150个应用想要上云，需要重新做很多新的场景。之前他们接触过多家公司，但是没有任何一家可以帮他们上云，只有IBM知道应用是怎么来的，怎样上容器，怎样上服务，包括在出现问题时，怎样把旧有应用在上云过程中与新的应用构建成一个较好的平台，以上这些能力都是很少有其他公司能够提供的。”
IBM中国开发中心云计算开发总经理吉燕勇
“企业在上云时，有四个点可以作为切入点，一是云的咨询；二是云的迁移；三是云的构建；四是云的管理。每一家企业的上云之旅都是在不同的点上切入，而不论是在哪一个点，IBM都可以为企业提供帮助。”吉燕勇表示，“举例来说，在云的咨询方面，我们可以提供战略规划、架构设计、安全与合规咨询；在云的迁移方面，我们可以帮助企业迁移工作负载和应用并实现其现代化；在云的建设方面，包括我们怎么做新的应用开发，怎么构建多云环境，怎么做集成，这构成了我们在云的建设里的三项特殊能力；在云的管理方面，我们也有应用管理、企业应用管理、多云服务平台、托管服务、安装弹性等等。总体而言，IBM在每个点都具备不同的能力，包括不同的产品和服务，都可以切入进去帮助企业上云。”
“AI阶梯”助力企业级AI落地
对于亟待数字化转型的企业而言，飞速发展的AI人工智能技术无疑能够成为极大的助力，同时也有助于企业成长为认知型企业。那么针对AI人工智能方面，IBM又提供了怎样的产品和解决方案呢？
"The process of enterprise-class AI landing, has a very clear business needs and expectations for a particular scene, we need to think about what to do is the ability to do this work, and finding the most appropriate algorithms and modeling in the process of doing. People commonly referred to as AI, is only a part of all of our work among it. "Speaking of AI landing enterprise, IBM Greater China general manager of data and artificial intelligence research center Zhu Hui said," statistics show from third parties, only 13% of the data and analysis projects to be completed, of which only 8% of the project results can be recognized leadership of the company. Why is this data so low? because every AI project, each data science is not a simple project work, we need a system that works, you need a platform that can help it to streamline workflow, collaborative process, and deployment. "
IBM Greater China R & D Center for Artificial Intelligence and Data General Manager Zhu Hui
Thus, a true enterprise-class landing of AI, not only do the analysis, not just for data processing, integration and management, but to do both and do data analysis include the optimization of workflow and workflow, many even when it comes to the relationship between corporate culture and even organizational structure, which involves far more extensive level of ordinary people's imagination. That is to say, without a good platform and good information architecture, floor road AI Artificial Intelligence applications can not be laid success.
"In view of this, IBM proposed a concept of 'AI ladder' First is built on a cloud native, deployed in hybrid cloud, can not be locked, to open up, to be safe, but the AI level, there must be a platform ability to complete the four modules: the first is to collect data, and the second is to organize data, and the third is to analyze the data, and the fourth is the integration of data. to the AI results into existing business processes, business logic, business decisions were to go, the four modules must exist before we can have a complete ladder of AI, this is our philosophy. "Zhu Hui said," precisely because of this concept, IBM was built ICP for data platform that combines IBM's about ten or twenty original products related to data analysis capabilities to integrate its technology into the container after a platform as a product delivered to the customer, so that customers from scratch, a At the same time will be able to instantly gain the ability to collect, organize and analyze without the need for cross-platform, cross-product, cross-vendor to get. I think this is a very great thing. "