These five key emerging technologies will be the key to future corporate profits

According to the research and consulting agency Gartner in the 2019 Emerging Technology Development Cycle Report (Hype Cycle for Emerging Technologies, 2019), 29 technologies that must be observed are published, and 5 key emerging technology trends are summarized, which are expected to create and provide brand-new experiences...

Sensing and Mobility

In a machine that combines sensing technology and artificial intelligence, in addition to better understanding of the surrounding environment, it also has sufficient mobility and the ability to manipulate objects. For the Internet of Things (IoT) and the large amount of data it collects, sensing technology is an indispensable element, and machines with artificial intelligence can obtain diverse insights and apply this information in various situations.

For example, in the next 10 years, the use of AR cloud will be able to draw 3D world maps, create new interactive models, and further promote brand-new business models, enabling companies to profit from physical space. Companies that expect to benefit from the use of sensing and mobility functions should take the following technologies into consideration, including 3D sensing cameras, AR clouds, light cargo delivery drones, flying autonomous vehicles, and Level 4 and Level 5 autonomous driving technology.

Amplify human capabilities

Amplifying human abilities means that people’s perception and physical abilities can be improved by the advancement of technologies that amplify human abilities and become an indispensable part of the human body. For example, creating a prosthetic with special functions, surpassing the natural physical limits of human beings, and providing superhuman abilities. Emerging technologies focused on augmenting human capabilities, including biochips, personification, augmented intelligence, emotion AI, immersive workspace, and biotechnology (artificial Tissue culture).

Postclassical computing and communication

Gartner pointed out that for decades, traditional core computing, communication, and integration technologies have made significant progress by improving the traditional architecture. As predicted by Moore's Law, the central processing unit (CPU) is getting faster, the memory density is higher, and the throughput is increasing. The next few generations of these technologies will adopt a completely different architecture from the current ones. Not only will they have brand-new methods, they will also have a significant impact through gradual improvements.

For example, low-earth orbit (LEO) satellites can provide low-latency Internet connections all over the world. This kind of constellation composed of small satellites can provide Internet services for households that are currently not connected to the Internet (48% of the world’s total), bringing new economic growth to countries and regions that were unable to provide this service in the past. opportunity. However, the number of satellites is still small, and this technology is still in its early stages of development, but it may have a significant impact on society and commerce in the next few years. In this field, the technologies that companies should evaluate include 5G, next-generation memory, low-earth orbit satellite systems, and nano-level 3D printing.

Digital Ecosystem

The so-called digital ecosystem is a group of interdependent participants (companies, people, and objects) sharing a digital platform with each other to achieve mutual benefits. Digitization has caused the disintegration of the traditional value chain, casting a stronger, more flexible and resilient value delivery network, and constantly evolving to create better new products and services. In this field, the key technologies that companies can consider include digital operations (DigitalOps), knowledge graph, synthetic data, decentralized web, and decentralized autonomous organization. ), etc., are all promising technologies in this field in the future.

Advanced artificial intelligence and analysis technology

Advanced analysis technology usually uses advanced technologies and tools other than traditional business intelligence (BI) to automatically or semi-automatically view data and content. With high latency sensitivity (such as automatic navigation), susceptibility to network interruption (such as remote monitoring, natural language processing NLP, facial recognition), and data-intensive (such as video analysis) applications, edge artificial intelligence has been gradually improved Ratio of adoption.

According to Gartner, relevant technologies worth tracking include adaptive machine learning (ML), edge artificial intelligence, edge analytics, explainable AI, artificial intelligence platform as a service (AI PaaS), and transfer learning. , Generative adversarial network (generative adversarial network) and graph analytics (graph analytics), etc.

Finally, Gartner pointed out that in 2019, the focus of the report on the development cycle of emerging technologies will be readjusted, and new technologies that have not been mentioned in the previous reports will be introduced instead. Although this means that most of the technologies mentioned in the 2018 Emerging Technology Development Cycle Report must be eliminated, it does not mean that it is no longer important. The Emerging Technology Development Cycle report integrates more than 2,000 technologies, extracts unique insights, and presents 29 emerging technologies and trends in a refined manner. This development cycle report focuses on the potential to provide companies with great competition in the next 5 to 10 years. Advantages of technology combination.