Smart Objects Smart Objects use AI and machine learning to interact with people and the environment in a smarter way. Smart speakers, webcams, and more. They are all just basic smart objects. Really advanced smart objects will operate autonomously or semi-autonomously within a certain period of time to complete certain tasks, such as cleaning the house or fertilizing the fields. With these smart objects, the smart home and smart home appliances of the future will no longer be just a hypothesis and a luxury. What’s more, consumer devices, industrial systems, and medical devices are all smart objects suitable for using AI.
The next level of smart objects would be a large number of smart objects working together to achieve a certain goal. The U.S. Department of Defense is testing Perdix micro-drones for aerial surveillance, and Honda is developing cooperative merger capabilities so autonomous vehicles can coordinate their activities.
Digital Twins Technology Digital twins, also known as digital twins, make full use of data such as physical models, sensor updates, and operating history. Integrate the simulation process of multi-discipline, multi-physical quantity, multi-scale, and multi-probability, and complete the mapping in the virtual space, so as to reflect the whole life cycle process of the corresponding physical equipment. In the future, various things in the physical world will be able to be replicated through digital twin technology.
In the industrial field, the use of digital twin technology will greatly promote changes in product design, production, maintenance and repair. Digital twins promise to save billions of dollars in maintenance, repair and operating costs by digitally representing real-world entities or systems. Twins provide 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, digital twins for humans can provide biological characteristics and medical data that doctors can use to diagnose diseases. City-wide digital twinning can inform city planners on operations and maintenance.
From the cloud to the edge, the application of cloud computing and artificial intelligence, as well as the mining of data value, drives the digital transformation of enterprises with comprehensive innovation, bringing huge value to all walks of life. At the same time, cloud services continue to accelerate the digital transformation of enterprises. From the data center to the edge of the cloud to the mobile terminal, with more advanced cloud services, the business world is constantly being pushed forward. While people often think of cloud computing and edge computing as two competing approaches, this is a fundamental misunderstanding of both concepts. Edge computing refers to a computing topology: it brings content, computation and processing closer to the user/object or "edge" of the network. The cloud is computing: such a flexible and scalable capability, delivered as a service, but does require centralization. If combined, the cloud model creates a service-oriented model, with a centralized control and coordination structure, to deploy cloud services to intermediate servers or to the actual edge, thus enabling a distributed execution model. Office 365 and AWS Greengrass are two examples of this unified concept today.
Dialogue Platform The Dialogue Platform is an AI open platform that can understand users and interact with them. The widespread application of dialogue platforms will start a new interactive revolution. With the development of speech recognition and natural language processing technology, voiceprint recognition technology (the technology to identify who the speaker is) has gradually entered the public's field of vision. It will be used together with biometric authentication technologies such as face recognition in security and personalization. The field of service is gaining more and more popularity. Current speech recognition and voiceprint recognition and other speech technologies are affected by environmental factors such as background noise and multiple people speaking at the same time. There is still a lot of room for improvement in accuracy.
Conversational platforms will change the way people interact with technology. The burden of translating/converting the intent is shifted from the user to the computer. A conversational platform takes a question or command from a user and responds by performing some function, presenting some content, or asking for further input. This may be a simple application scenario, such as querying the weather, or a more complex application scenario, such as business booking. In the coming years, conversational interfaces will be a major design goal for user interaction, enabled by dedicated hardware, core functionality of operating systems, platforms, and applications.
Immersive experience Immersive experience provides participants with a fully immersive experience, giving users a feeling of being in a virtual world. The user's vision and hearing can be closed by using head-mounted displays and other equipment to generate virtual vision. At the same time, it uses data gloves to close the user's hand feeling channel to generate virtual touch. The system uses a speech recognizer to allow participants to issue operating commands to the system host. At the same time, the head, hands, and eyes are tracked by corresponding head trackers, hand trackers, and eye gaze trackers, so that the system can achieve maximum accuracy. possible real-time. The immersive system is an ideal model for the replacement of the real environment, and it has a virtual environment with the latest interactive means. Common immersive systems include: helmet-mounted display-based systems, and 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, which combines and extends AR and VR, is emerging as the immersive experience of choice, providing an interface that better matches how people see and interact with the world. Combined with a conversational platform, the user experience changes radically, becoming an invisible and immersive environment.
Blockchain Blockchain is a new application model of computer technology such as distributed data storage, point-to-point transmission, consensus mechanism, and encryption algorithm. It is a shared, distributed, decentralized, and tokenized ledger. It achieves independent specific to a single application or actor, thus eliminating business friction. Generally speaking, the blockchain system consists of data layer, network layer, consensus layer, incentive layer, contract layer and application layer. Among them, the data layer encapsulates basic data and basic algorithms such as underlying data blocks and related data encryption and time stamps; the network layer includes distributed networking mechanisms, data dissemination mechanisms, and data verification mechanisms; the consensus layer mainly encapsulates network nodes. Various consensus algorithms; the incentive layer integrates economic factors into the blockchain technology system, mainly including the issuance mechanism and distribution mechanism of economic incentives; the contract layer mainly encapsulates various scripts, algorithms and smart contracts, and is a blockchain The foundation of programmable features; the application layer encapsulates various application scenarios and cases of the blockchain. In this model, the chained block structure based on time stamps, the consensus mechanism of distributed nodes, the economic incentives based on consensus computing power, and the flexible and programmable smart contracts are the most representative innovations of blockchain technology. Blockchain allows untrusted parties to enter into commercial transactions with each other. Although the blockchain has long-term potential, for at least the next two or three years, the status quo of the blockchain is slower than the promise of the blockchain. Businesses need to have a clear understanding of the potential business opportunity, but also understand the capabilities and limitations of the technology. If you do not have the appropriate skill set, including cryptographic skills, you should carefully consider whether to invest in blockchain projects.
Event-driven Event-driven refers to a strategy for decision-making in the process of continuous transaction management, that is, to follow events that occur at the current point in time, mobilize available resources, and perform related tasks to solve emerging problems and prevent transaction accumulation. It has applications in computer programming, public relations, economic activities and other fields. Digital business drives the digital enterprise all the time. This moment incorporates the business activity of experiencing or discovering a significant state or state change. This could be something as simple as a signal that a purchase order has been completed. Event brokers and the Internet of Things and other new technologies mean that these events can be detected more quickly and analyzed in greater detail. Organizations should actively pursue “event thinking” as part of their digital enterprise strategy. By 2020, event-sourced real-time situational awareness will be a must-have feature of 80% of digital business solutions, and 80% of new business ecosystems will need to support event processing.
Continuous Adaptive Risk and Trust With the use of more sophisticated tools, organizations need to more closely address and combat threats like Wannacry ransomware. Through CARTA (Continuous Adaptive Risk and Trust Assessment), organizations can grasp risks and make trusted decisions in real time. In a digital world, organizations need to integrate security into their DevOps to provide a continuous "DevSecOps" process. Continuous Adaptive Risk Assessment looks at things from a defensive perspective, trying to identify the bad guys (attacks, vulnerabilities, threats, etc.). Continuous means that the risk and trust research and judgment process is continuous and repeated many times; self-adaptive means that when we judge risks (including attacks), we should not only rely on blocking measures, but also carefully monitor the network. To monitor and respond in a timely manner; trust refers to determining identity and performing access control. Continuous adaptive trust assessment looks at the problem from the perspective of access control and tries 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 to enable adaptive responses to a security-enabled digital enterprise. The security world is in constant flux as threats continue to grow and evolve. Integrate security into your company's DevOps efforts to create a continuous DevSecOps process, and explore decoy techniques, such as adaptive honeypots, designed to catch Bad guys, here are two of the new technologies that promise to make CARTA a reality.