Gartner latest release: 2017 Top ten Strategic technology trends _ safety

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Guide

David Cearley, vice president and senior researcher at Gartner Research, a market researcher, David Cally the top ten strategic technology trends predicted by the agency in 2017 at a Gartner seminar in Orlando, the Forbes magazine reported. What he calls "strategic technology" refers to technologies that have significant potential for subversion over the next 5 years. He also noted that these technologies will be the main catalyst behind digital and algorithmic business opportunities, with the following ten major trends:

AI and Advanced machine learning

Artificial intelligence (AI) and advanced machine learning consist of techniques such as depth learning and neural network. Such technologies often use algorithms to automate manual tasks and develop broader frameworks and architectures with advanced statistical techniques that can learn as humans do and use historical data to predict the future. These systems will be used more and more, and greatly promote the progress of automatic operation.

"Applying AI and Advanced machine learning can help drive many devices or services to generate intelligence, including physical devices (robots, autonomous vehicles, consumer electronics), applications, and services (virtual personal assistants, smart Consultants)," Cali said. These technologies can lead to the emergence of a large number of new intelligent applications and devices, while providing embedded intelligent support for a wider range of devices, existing software, and service solutions. ”

Intelligent applications

Intelligent applications often act as human assistants, such as virtual personal assistants, who can perform tasks such as scheduling meetings, managing e-mail, and other messages, and are comfortable with it. Virtual personal assistants and virtual customer service should be able to change the nature of many jobs and the way companies recruit employees. "In the next 10 years, almost every application and service will receive some level of AI support," says Cali. This will lead to a long-term trend that will continue to encourage AI and machine learning to evolve and expand their use in applications and services. ”

Smart objects

Fortunately, there have been many articles about the power of the Internet of things. Intelligent objects will interact with humans and their surroundings using technologies such as AI and machine learning. The most typical examples are driverless cars, drones, smart kitchens and smart homes that are also emerging. Gartner predicts that these smart objects will become increasingly interconnected and continue to improve our standard of living.

VR and AR

Virtual Reality (VR) and augmented Reality (AR) have attracted the imagination of gamers and other consumers, but they will increasingly affect business-to-business. "By 2021, immersive consumption, content and applications will evolve rapidly," Cali said. The capabilities of VR and AR will be merged with Digital network (digital mesh) to form a more seamless equipment system, which can integrate information flow and provide users with ultra personalized service. Across mobile platforms, wearable devices, Internet of things, and sensor enrichment environments, immersion applications will be greatly expanded. The room and space will become more active, connecting through the network will be the perfect combination of immersive virtual world. ”

Digital Twins (Digital Twin)

The digital twin operation is actually the intersection of metadata, condition or state, time data, and analysis. The digital twins are the software model of the physical object, which can be used to understand the state of the sensor and change with the object, improve the operation efficiency and increase the value. In the next 5 years, Cali predicts, there will be hundreds of billions of objects to achieve the digital twin operation. They will be used by enterprises to plan equipment services, operate factories, predict when equipment malfunctions, improve operational efficiency, and help develop new products. Over time, they will also become intelligent controllers and monitors in the process of operation.

Block chains and distributed General Ledger

The Economist has reported that the block chain is a distributed database that maintains records that have been modified as a list of records called blocks. Each block is connected to the previous block, which is most common in a specially encrypted Peer-to-peer network. Financial services have become the early adopters of block chain technology, but more and more industries are joining in recently. Cali believes that there will be more and more use of block chain technology in the areas of music publishing, authentication, rights registration and supply chain.

Session System

The session system will evolve from a chat robot to a wider digital network, which will expand into a larger range of endpoint aggregates that we will interact with every day. They will become more collaborative and strengthen the digital experience in the process.

Grid Application and service architecture

Grid application and service architecture (MASA) includes network, mobile, desktop and IoT applications. It shows multiple layers and APIs that span traditional boundaries. This will help with scalability, flexibility, and technology-oriented reuse of services. Masa will promote cross channel optimization between the different endpoints in the grid, whether it be a smartphone or a car.

Digital technology Platform

The digital technology platform will provide the foundation for the digital service. Cali said the five key digital technology platforms can promote digital capabilities and business model evolution, which are information systems, customer experience, analysis and intelligence, IoT, and enterprise ecosystems. Organizations will increasingly integrate these five digital technology platforms.

Self-Adaptive Security Architecture (Adaptive architecture)

The above digital grid and digital technology platform also provides a larger attack surface for the bad guys, and security issues will continue to escalate. "The development of security technology should have its own baseline to ensure that the networking platform is secure," Cali said. Monitoring user and entity behavior is a critical complement, especially in the context of the need to use the Internet of things. However, for many IT security people, the edge of the Internet of Things is creating new security vulnerabilities, often requiring repair tools. These factors must be taken into account when playing the networking platform of Creation. ”

Original release time: 2016-10-21

Original link

Guide

David Cearley, vice president and senior researcher at Gartner Research, a market researcher, David Cally the top ten strategic technology trends predicted by the agency in 2017 at a Gartner seminar in Orlando, the Forbes magazine reported. What he calls "strategic technology" refers to technologies that have significant potential for subversion over the next 5 years. He also noted that these technologies will be the main catalyst behind digital and algorithmic business opportunities, with the following ten major trends:

AI and Advanced machine learning

Artificial intelligence (AI) and advanced machine learning consist of techniques such as depth learning and neural network. Such technologies often use algorithms to automate manual tasks and develop broader frameworks and architectures with advanced statistical techniques that can learn as humans do and use historical data to predict the future. These systems will be used more and more, and greatly promote the progress of automatic operation.

"Applying AI and Advanced machine learning can help drive many devices or services to generate intelligence, including physical devices (robots, autonomous vehicles, consumer electronics), applications, and services (virtual personal assistants, smart Consultants)," Cali said. These technologies can lead to the emergence of a large number of new intelligent applications and devices, while providing embedded intelligent support for a wider range of devices, existing software, and service solutions. ”

Intelligent applications

Intelligent applications often act as human assistants, such as virtual personal assistants, who can perform tasks such as scheduling meetings, managing e-mail, and other messages, and are comfortable with it. Virtual personal assistants and virtual customer service should be able to change the nature of many jobs and the way companies recruit employees. "In the next 10 years, almost every application and service will receive some level of AI support," says Cali. This will lead to a long-term trend that will continue to encourage AI and machine learning to evolve and expand their use in applications and services. ”

Smart objects

Fortunately, there have been many articles about the power of the Internet of things. Intelligent objects will interact with humans and their surroundings using technologies such as AI and machine learning. The most typical examples are driverless cars, drones, smart kitchens and smart homes that are also emerging. Gartner predicts that these smart objects will become increasingly interconnected and continue to improve our standard of living.

VR and AR

Virtual Reality (VR) and augmented Reality (AR) have attracted the imagination of gamers and other consumers, but they will increasingly affect business-to-business. "By 2021, immersive consumption, content and applications will evolve rapidly," Cali said. The capabilities of VR and AR will be merged with Digital network (digital mesh) to form a more seamless equipment system, which can integrate information flow and provide users with ultra personalized service. Across mobile platforms, wearable devices, Internet of things, and sensor enrichment environments, immersion applications will be greatly expanded. The room and space will become more active, connecting through the network will be the perfect combination of immersive virtual world. ”

Digital Twins (Digital Twin)

The digital twin operation is actually the intersection of metadata, condition or state, time data, and analysis. The digital twins are the software model of the physical object, which can be used to understand the state of the sensor and change with the object, improve the operation efficiency and increase the value. In the next 5 years, Cali predicts, there will be hundreds of billions of objects to achieve the digital twin operation. They will be used by enterprises to plan equipment services, operate factories, predict when equipment malfunctions, improve operational efficiency, and help develop new products. Over time, they will also become intelligent controllers and monitors in the process of operation.

Block chains and distributed General Ledger

The Economist has reported that the block chain is a distributed database that maintains records that have been modified as a list of records called blocks. Each block is connected to the previous block, which is most common in a specially encrypted Peer-to-peer network. Financial services have become the early adopters of block chain technology, but more and more industries are joining in recently. Cali believes that there will be more and more use of block chain technology in the areas of music publishing, authentication, rights registration and supply chain.

Session System

The session system will evolve from a chat robot to a wider digital network, which will expand into a larger range of endpoint aggregates that we will interact with every day. They will become more collaborative and strengthen the digital experience in the process.

Grid Application and service architecture

Grid application and service architecture (MASA) includes network, mobile, desktop and IoT applications. It shows multiple layers and APIs that span traditional boundaries. This will help with scalability, flexibility, and technology-oriented reuse of services. Masa will facilitate cross channel optimization between different endpoints in the grid, without