The next level of smart objects will be a large number of smart objects ****ing together to try to achieve a certain goal. The U.S. Department of Defense is testing Perdix micro-drones for aerial surveillance, and Honda is developing cooperative merging capabilities so self-driving cars can coordinate their activities.
Digital twin technology Digital twins, also known as digital twins, leverage data from physical models, sensor updates, operational history, and more. Integrate multi-disciplinary, multi-physical quantity, multi-scale, multi-probability simulation process, and complete the mapping in the virtual space, so as to reflect the full life cycle process of the corresponding physical equipment. In the future, all kinds of things in the physical world will be able to be replicated by digital twin technology.
In industry, the use of digital twins will significantly drive change in the design, production, maintenance, and repair of products. Digital twins are expected to save billions of dollars in maintenance, repair and operational costs by digitally rendering real-world entities or systems. The digital twin provides information about the state of real-world objects and can respond to changes or improve operations.
There are many examples of digital twins in the IoT space, but the potential of digital twins for objects that are not "things" is growing. For example, human-oriented digital twins can provide biological characteristics and medical data that doctors can use to diagnose diseases. A citywide digital twin could provide city planners with information about operations and maintenance.
From Cloud to Edge And the application of cloud computing and artificial intelligence, as well as the mining of the value of data, drive enterprise digital transformation with comprehensive innovation, bringing great value to all industries. Meanwhile, cloud services continue to accelerate enterprise digital transformation. From the data center to the cloud edge to mobile terminals, the business world continues to be propelled forward with more advanced cloud services. While it is often assumed that cloud and edge computing are two competing approaches, this is a fundamental misunderstanding of both concepts. Edge computing refers to a computing topology that brings content, computation and processing closer to the user/object or "edge" of the network. The cloud is the computer: a flexible and scalable feature that is provided as a service, but does need to be centralized. If consolidated, the cloud model creates a service-oriented model with a centralized control and orchestration structure that deploys cloud services to intermediate servers or to the physical edge, thus supporting a distributed execution model. office 365 and AWS Greengrass are two examples of today's unified concept.
Conversation platforms A conversation platform is an AI open platform that understands users and allows for interaction. The widespread adoption of Dialogue Platform will start a new revolution in interaction. With the development of speech recognition and natural language processing technology is a big hit, voiceprint recognition technology (the technology to identify who the speaker is) is also gradually entering the public's field of vision, it will be more and more popular in the field of security and personalized services together with face recognition and other biometric authentication technology. The current voice recognition and voiceprint recognition technologies are affected by background noise, multiple speakers, and other environmental factors, and there is still a lot of room for improvement in terms of accuracy.
Conversational platforms will change the way people interact with technology. The burden of translating/converting intent is shifted from the user to the computer. Conversational platforms first take a question or command posed/issued by the user and then respond by performing some function, presenting some content, or requesting further input. This could be a simple application scenario, such as checking the weather, or a more complex application scenario, such as business booking. In the coming years, conversational interfaces will become a major design goal for user interactions that will be enabled by dedicated hardware, core functionality of operating systems, platforms, and applications.
Immersive Experiences Immersive experiences provide participants with a fully immersive experience that gives the user a sense of being in a virtual world. It can produce virtual vision by closing off the user's visual and auditory senses using equipment such as helmet displays, while it uses data gloves to close off the user's hand channels to produce a virtual sense of touch. The system uses a voice recognizer to allow participants to give operational commands to the system host, while at the same time, the head, hands, and eyes are tracked by the corresponding head tracker, hand tracker, and eye sight tracker, so that the system achieves as much real-time as possible. The immersive system is an ideal model for the real environment alternative, which has a virtual environment with the latest means of interaction. Some of the common immersive systems are:Helmet based displays, projected virtual reality systems. Augmented Reality (AR) and Virtual Reality (VR) are changing the way people perceive and interact with the digital world. Mixed reality that combines and extends AR and VR is becoming a preferred immersive experience, providing an interface to better match how people perceive and interact with the world. Combined with a conversational platform, the user experience changes radically into an invisible immersive environment.
Blockchain Blockchain is a new mode of application of computer technology such as distributed data storage, peer-to-peer transmission, *** knowledge mechanisms, cryptographic algorithms, etc. It is a *** enjoyable, distributed, decentralized, tokenized ledger, which does so independently of a single application or participant, and therefore eliminates business friction. Generally speaking, a blockchain system consists of a data layer, a network layer, a *** knowledge layer, an incentive layer, a contract layer and an application layer. Among them, the data layer encapsulates the underlying data blocks as well as related data encryption and time stamps and other basic data and basic algorithms; the network layer includes the distributed networking mechanism, data dissemination mechanism, and data verification mechanism, etc.; the *** knowledge layer mainly encapsulates all kinds of *** knowledge algorithms of the network nodes; the incentive layer integrates the economic factors into the blockchain technological system, which mainly includes the issuance mechanism of the economic incentives and the distribution mechanism, etc.; the contract layer mainly encapsulates the contract layer, which mainly includes the contract layer, the contract layer, the contract layer, the contract layer, the contract layer and the application layer. etc.; the contract layer mainly encapsulates all kinds of scripts, algorithms and smart contracts, which is the basis of the programmable characteristics of the blockchain; the application layer encapsulates various application scenarios and cases of the blockchain. In this model, the chain block structure based on timestamps, the *** knowledge mechanism of distributed nodes, the economic incentives based on *** knowledge computing power, and the flexible and programmable smart contracts are the most representative innovations of blockchain technology. Blockchain allows untrusted interested parties to enter into business transactions with each other. While blockchain has long-term potential, the current state of blockchain is a beat slower than the promise of blockchain for at least the next two to three years. Organizations need to have a clear understanding of the potential business opportunities, but also of the capabilities and limitations of the technology. If they don't have the appropriate skill sets, including crypto skills, they should carefully consider whether to commit to a blockchain project.
Event-driven Event-driven refers to a strategy for making decisions in the transaction management process that follows events occurring at the current point in time, mobilizes available resources, and performs related tasks to enable the resolution of recurring issues and to prevent transactions from piling up. It is used in areas such as computer programming, public **** relations, and economic activity. Digital business moments drive the digital enterprise. Such moments combine business activities that experience or discover significant states or changes in state. This may be as simple as an event, such as a signal indicating that a purchase order has been completed. Event agents and the Internet of Things, along with other new technologies, mean that these events can be detected more quickly and also analyzed in more detail. Organizations should actively pursue event thinking as part of their digital enterprise strategy. By 2020, real-time situational awareness of event sources will be a required feature of 80% of digital business solutions, and 80% of new business ecosystems will need to support event processing.
Continuous Adaptive Risk and Trust As more sophisticated tools become available, organizations need to more closely address and combat threats like Wannacry ransomware. With CARTA (Continuous Adaptive Risk and Trust Assessment), organizations can capture risk and trusted decisions in real time. In the digital world, organizations need to integrate security into their DevOps to provide a continuous "DevSecOps" process. Continuous Adaptive Risk Assessment looks at the problem from a protection perspective, trying to identify the bad guys (attacks, vulnerabilities, threats, etc.). Continuous, that is, this risk and trust judgment process is continuous, repeated many times; adaptive, that is, when we determine the risk (including attacks), can not only rely on blocking measures, we also need to monitor and respond to the network in a detailed way; trust, that is, to determine the identity, access control. Continuous adaptive trust assessment is from the perspective of access control, trying to identify the "good guys" (authorization, authentication, access). Continuous Adaptive Risk and Trust Assessment (CARTA) enables real-time, risk- and trust-based decision-making mechanisms for an adaptive response to the security-enabled digital enterprise. As threats continue to develop and evolve, the security community is changing with them. Integrating security into your company's DevOps efforts to create a continuous DevSecOps process, and exploring trapping technologies (such as adaptive honeypots) designed to catch the bad guys that infiltrate your network, are two of the new technologies that promise to make CARTA a reality.