The true value of new technologies is not achieved by substitution, but rather integration into existing industries and technology solutions to increase overall productivity.
In the past decade, human technological innovation has completed a complete evolutionary cycle. This 10-year small cycle will be the transition and convergence between the two major cycles of scientific and technological progress, leading us into a new era.
Looking back now, the 2008 world economic crisis is a heavy blow to global social and economic activities, but it is a good thing for technological innovation.
First of all, the economic crisis triggered by the financial crisis has caused the world economy to quickly ebb, and a large number of problems have been exposed. The major economies in the world are facing the problem of aging or demographic dividend decline, investment efficiency is reduced, and leverage and pulling capacity are insufficient. When the power of relying mainly on capital is no longer enough to push the economy forward, technology will move to the forefront and become the new core driving force of the economy driven by the new situation.
Secondly, from 2008 to now, technological innovation has completed a complete evolutionary cycle, namely, basic technology innovation - technology application innovation - business model innovation - a new round of basic technology innovation cycle. Initially, the information carrier technology (basic technology) innovation, the Internet + smart phone to promote the mobile Internet for the era, after the completion of various technical applications based on this, and finally to the redistribution of benefits through business model changes. Simply put, technology iteration provides the foundation for applying innovation to open up new markets and model innovation to redistribute cakes.
However, by 2014, with Silicon Valley as the representative, the business model innovation has reached the bottleneck period, the existing technology platform can not continue to carry the new technology era brought by massive data, and the model innovation has entered the bottleneck period. At this time, we need the next generation of technological innovation to break the old and new, to build a new generation of information carrier platform, and promote the next level of application innovation.
In 2016, Silicon Valley's new round of application innovation exploration based on new technologies began to take shape. This round of innovation is mainly reflected in the combination of new technologies and existing and traditional industries. The true value of new technologies is not achieved by substitution, but rather integration into existing industries and technology solutions to increase overall productivity.
Technology bonus period in six major areas
Because of the synergy between the innovation cycle and the life cycle of the cycle-leading product, every innovation cycle that has emerged in history has presented a common regularity – it needs to go through two different stages of development: science and technology and cost competition.
The first is artificial intelligence. AI is one of the most important directions in the future. In 2003, there was a large-scale AI innovation and investment failure in Silicon Valley. Now investors are making a comeback because the current AI technology is not only more mature than it was a decade ago, but more importantly, the application cost is greatly reduced, and the market application window has already been Open (these two points are also key to the economic value of technological innovation applications).
Artificial intelligence itself is a very broad field, and not every sub-technical direction is at a stage suitable for commercial applications. In the past year, more value of artificial intelligence has been reflected in industrial, corporate and medical services.
And as a basic technology, AI can be widely used in every industry. AI core is platform technology plus data: biotechnology + data + AI, is the application of AI in bio-informatics; medical device + data + AI, is the application of AI in smart medical; industrial Internet of Things + data +AI, is the application of AI in the smart industry; security technology + data + AI, is a new generation of system security applications.
In the next few years, there are huge opportunities for application development, such as machine learning, natural language processing, and computer vision. These directions also have different priorities.
The core of machine learning is data + algorithm. In the past few years, large technology companies have gradually established their own machine learning open source platform (Google-Tensor flow, Microsoft-CNTK, IBM-Waston, etc.). The open source machine learning platform can be compared to the past Internet. Become an industry standard and become a new generation of "Internet" operators. Therefore, the innovation of small companies in this area is more reflected in the upper application innovation, and in the search for how to use machine learning to further automation, personalization and efficiency in each segment of the innovation opportunities.
Voice interaction is the future and the gateway to future information. After the Internet of Everything, whether it is a smart home or a car network, the first interaction with humans is the first voice communication technology based on natural language processing technology, and the voice interaction technology is now developing very fast. In the past few years, it has been based in Silicon Valley. Semantic understanding, developed to achieve contextual understanding and background judgment.
Excessive picture and image information is a problem in the industrial and medical imaging industries, and computer vision technology is currently the best solution. From the most basic security, to the identification of users behind, to personalized push, are the trend of commercial applications.
The second welcoming technology blowout is the robotics field. With the advancement in machine learning, natural language processing and computer vision, as the integration of the above technology and hardware sensors, the application prospect of robots is not only the prospect, but the reality.
The popularity of low-cost sensors is at the heart of robotic applications. At the same time, by supporting cloud computing and artificial intelligence technology at the software level, in the past year, robots have been increasingly used in the field of intelligent industry and intelligent manufacturing, and began to spread in the medical field, such as industrial logistics, automated production, artificial exoskeleton. And surgical robots, etc.
Third, the IoT layout of large companies in the past year has formed an existing home Internet of Things ecosystem. The new innovations are focused on the Internet of Vehicles, the Medical Internet of Things and the Industrial Internet of Things, and this is also a technological innovation that is bigger than smart homes and can quickly generate business value. The Internet of Vehicles is an innovative application of the Internet of Things in the field of intelligent transportation + unmanned driving, and is also a necessary condition for achieving driverless driving. The Internet of Vehicles is an important part of the intelligent transportation ecosystem, so in the past year, more and more Silicon Valley innovations have begun to turn to the intelligent transportation ecosystem, not just the driverless system.
Fourth, public and private clouds have developed simultaneously in the past year. Large enterprises need more technological innovation to form a public cloud with more security and huge computing power. The innovation of private cloud gradually tends to cooperate with public cloud. Another innovation trend is the new generation of network acceleration technology. The rapid generation of massive data requires faster network acceleration technology, and the information transmission has been completely mobilized. Therefore, the short and fast network information acceleration is also a new innovation trend.
Fifth, advances in science and technology have placed higher demands on the breadth, speed and quality of communication. The rise of 5G technology innovation in the past year has also constituted a huge challenge to existing WIFI systems.
Sixth, the future prospects of blockchain technology may still be very broad. At present, technology is still in its early stage. There are many bottlenecks that need to be broken and no mature infrastructure support is formed. After market adjustments in the next few years (similar to the Internet bubble of 2000), formal market opportunities will then be formed. It is worth noting that the application of blockchain technology is not only in the financial field, but also in the past year, there have been technical applications in the supply chain, medical information, and social data, and the application opportunities in these fields are even greater.
Future new medical and smart manufacturing
According to IMS forecasts, by 2019, the global pharmaceutical market will reach $1.2 trillion.
Traditional medicine is more of hardware innovation, but with the combination of smart medicine and traditional medicine, new medicine will realize machine vision and traditional methods to combine film viewing; machine learning and natural language processing for case review; even through data processing Traditional cancer screening and detection techniques are fitted with big data to make the test results more accurate.
In addition, the biggest problem with traditional medical innovation in the past is that the physiological information of all people is discrete, so the real value of the data cannot be obtained in real time. But now, when the application of AI technology comes to the fore, the medical device becomes a data collection center, which will collect huge amounts of data into the cloud, perform real-time analysis, and achieve accurate diagnosis and detection through integration.
Another important trend in future medical care is the development of targeted treatments – more precise and personalized diagnosis and treatment. When it comes to precision and personalization, it is inevitable to involve an emerging technology – nano-robots, including DNA engines through nano-dimensions, intracavitary robots, and human brain machine interconnection technologies for brain function repair and improvement.
In the smart industry (smart manufacturing) sector, the combination of new and traditional industries begins with the intelligentization of production lines in the manufacturing and semiconductor industries. Nowadays, this intelligence will enter the 2.0 era, that is, not just simple intelligence, but the simultaneous upgrade of software and hardware. On the hardware side, the proliferation of low-cost sensors has made the information collected on the production line more accurate and real-time. The popularity of network technology and cloud computing can enable production lines to quickly correct errors in real time, reduce downtime, and greatly increase production efficiency. In addition, for more traditional industries such as chemical and petroleum, the combination of these industries and new technologies can be more efficient. Especially in the field of fine chemicals, many compounds are synthesized and intelligently transformed by the combination of artificial intelligence technology and network technology, which can improve the speed of scientific research and improve the quality and efficiency control of the production line.
As mentioned earlier, the future of medical trends is personalization and targeting, which provides a broader space for the pharmaceutical industry. By collecting personalized information, individualized diagnosis and treatment based on each individual's different conditions, the production of drugs will be customized in the future - everyone will take different drugs. In addition, the development of new drugs has required a lot of manpower and time in the past, and now and in the future, the use of new technologies can be used for virtual screening, integration and prediction, which can greatly shorten the cycle of new drug development.
New information monopoly is about to appear
The technological monopoly of large technology companies is not formed today, and the information monopoly is about to become the next super gold mine of big companies.
The development of science and technology has formed a singular effect to a certain extent. The formation of new economies relies on technological innovation and liberates the company from a densely populated form. The company as a whole tends to be miniaturized, with individual value creation and economic contribution exponential growth. Low-end, repetitive work is done by technical means rather than by manual means. Network acceleration, communication technology can reduce the impact of work area and better adapt to the global team. Through technological innovation, technology companies can form information gathering across government areas, and massive data becomes the company's most valuable asset.
Take bioinformatics as an example. In the past, people's physiological information was discrete. Because of the popularity of sensors and miniaturized medical devices, it is now possible to integrate the individual fragmented personal information, including physiological information, sample data, genes, etc. Huge database. For example, if a pharmaceutical company wants to develop a personalized medicine, its premise is to have data. Then imagine that if a pharmaceutical company has a large amount of physiological information, such as genetic defects, in a country or region, this can form a large scale. Bioinformatics monopoly.
In addition, information monopoly will break the existing valuation system of technology companies. Cross-industry data exchange has a strong multiplicative effect. After the cross-industry, the acquisition cost of new users is lower, and after the cross-industry, the data is more valuable, thus forming a new technology monopoly through information monopoly, not just the industry monopoly.
After all, information monopoly is a resource-based monopoly and is not restricted by the industry. Low-cost sensors are widely used in various fields of human society, and the massive data generated provides considerable potential for the development of technology companies. The social influence of social information monopolies formed through technical tentacles has already appeared.
It can be said that the future data information is like oxygen, ubiquitous and indispensable. People will die if they don't breathe. Similarly, only those companies that can master the fate of their breath can survive in the future.
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