Gartner's 2019 Strategic Technology Trends
1. Quantum Computing
Quantum computing is a computational method for processing data by the principle of entanglement and superposition, which is the basic principle of quantum mechanics. If the existing computer can only distinguish between 0 and 1, then quantum computing can coexist with 0 and 1. Currently, IBM, Google, Microsoft and Intel are actively researched. Quantum computing is a huge trend that will completely change the paradigm of computing if it succeeds in development because it allows parallel execution and exponential expansion of work, unlike current computers that do one work and do the next.
2. Autonomous Things
It is a synonym for robots, drone, autonomous vehicles that are already conceptually familiar. It also includes surgical robots and warehouse robots. In addition to the current mode of autonomous navigation, it also means that robots communicate with each other through an automation programming model and naturally interact with the surrounding environment or people. For example, the delivery robot 'Dili', which has been introduced to the nation of delivery, has shown that people are avoiding people or obstacles precisely in test operations.
In addition, there are also behaviors in which robots exchange information and inform traffic information. As another example, Gartner found that harrowing autonomous vehicles were automatically harvested when the drone determined that it was time to inspect the rice field or field and harvest. In addition, autonomous vehicles in the delivery market exchange information with each other to exchange cargo on the best route.
3. Augmented Analytics
Extended analytics or augmentation analysis goes beyond dealing with data. Gartner predicted that by 2023, AI and deep running would be the most common in data science. Deep learning is still an active method, because you live in Korea. You will learn how to learn data through deep learning in the future and output it in natural language, Gartner predicted. It is deep run for deep run. This means that ordinary workers, not data scientists, can interpret and use the results. Gartner believes that by 2021, 75 percent of the reports produced by humans and machines will be replaced by automation (Gartner believes that by 2021, 75 percent of prebuilt
Companies therefore need to focus on implementing analytics technology with an intuitive interface. Gartner recommended an interactive interface. Yes. It is a chatbot.
4. Artificial Intelligence Driven Development (AI-Driven Development)
Currently AI is developed by data scientists and application developers. Artificial intelligence led development is the introduction and improvement of AI developers. Gartner predicts that by 2022 at least 40 percent of application development teams will have AI-based virtual developers. The AI is likely to be the primary source of quality assurance and testing. In fact, NCsoft is putting bots into PvP simulations when it builds its game. The bot is simply good - not focused, but focused on moving like a person.
So what do the experts do? You need to focus on a little more professional issues. According to Gartner's definition, the next step in software development is called augmented software development (ASD), which involves preparing code for AI and automating verification and generation. Once the ASD is processed by the machine, the human developer is expected to act as a translator to interpret the results. Gartner also predicted that in this age it would be common for non-experts to create apps without coding through AI tools.
5. Empowered Edge with Autonomy
What Gartner refers to as an edge refers to devices near the user. The computing of these edges is called edge computing. There is some conflicting concept with cloud computing. It is similar to on-device computing because it is handled near the device, but the range is slightly different because it can be handled nearby, not within the device. Typical edge computing devices are autonomous cars. An autonomous vehicle must deal with itself in an emergency, without actually sending information to the cloud when driving on the road. Therefore, you should not handle everything through communication. There are also cloud computing-style autonomous cars. The autonomous bus Zero Shuttle from Gyeonggi Province utilizes the signal from the server.
Gartner claims Edge Computing is due to IoT products. IoT products, which have to respond sensitively to human behavior and weather, are trying to process processing locally to reduce traffic or latency. It's not a completely conflicting concept with the cloud, because it's not a centralized cloud, but you can think of it as a cloud. Gartner predicts that a 5G commercial will make cloud-edge computing complement each other. Edge Computing will be activated with the arrival of various AI chips over the next five years.
6. Digital Twins
Digital twins are digital replicas of existing ones. It is easy to think of a CAD drawing of a building. Digital twins are needed because of the Internet of Things (IoT) efficiency. We have implemented digital twins and have done the simulation above, and they are producing effective results. According to Gartner predictions, more than 20 billion IoT sensors and products will emerge by 2020. In order to control this effectively, we need to implement digital twins, and software that makes it easier to implement should appear. Therefore, it is necessary to standardize and simplify 3D modeling and strengthen education.
7. Block Chain
It is a model that generates information blocks and continuously verifies whether the information of the previous block is correct in the latter block. Therefore, it provides trust construction, transparency, cost reduction, transaction settlement time, and cash flow improvement.
However, current block-chain companies lack the technology to implement the ideological characteristics (decentralization) of the block chain. This is because the block chain has been around for a while and the technology has been less advanced. As technology becomes more sophisticated, it will be closer to the idea of decentralization, contract validation and government reliability. Some governments have already successfully introduced block chains, and there are cases in which block chains are commercialized (except for coins). There are also various scenarios for the future.
8. Immersive Experience
AR, VR, and MR technologies. It does not simply tell you to experience with AR, but predicts the experience to be enhanced by AI. Natural language processing and speech recognition, which will be more natural through AI, will have a positive impact on immersive experiences, Gartner predicted. Beyond simply watching movies or spending time, it can help with education through AR, assembly of furniture, and creative activities. For example, when you ask the AI about whether the parts fit well when you assemble the furniture, the AI helps.
In addition, Gartner predicted that immersive experiences would be introduced into the edge of automobiles, too. In this case, it was recommended that data processing in the cloud could cause problems such as accidents, thus raising local computing performance.
Over time, this immersive experience will take off the AR headset and take place in the real world. "Over time, the multichannel experience will take full advantage of all the human senses as well as the advanced computer senses (heat, humidity, radar, etc.) of multimode devices," said David Sulliv, vice president of Gartner. This multi-experience environment will provide an ambient experience in which the space surrounding us, rather than individual devices, defines a 'computer'. " Not only the time, but the computer will check all the temperature and humidity, and imply that the whole environment will be used as an AR tool.
9. Smart Spaces
Smart home, and smart city. The above-mentioned block chain, edge computing, IoT, etc. all need to be developed. Smart City, digital work space (immersive experience), smart home, and connected factory are developed for autonomous driving and business automation, and these elements are fused together to achieve automation. For example, an employee can use the app to navigate to the nearest parking space, and once they enter the building, they can be assigned workspaces and conference rooms. At the same time, his 'smart badge' allows him to track his position for safety. It is a concept that integrates SaaS, human resources management, IT service marketing, finance, sales, and marketing automation.
10. Digital Ethics and Privacy
With Facebook and Google's data breaches, 2019 will be a year in which we need to put more effort into data ethics and security.
Gartner recommends that you do not embed digital ethics into your enterprise, but rather embed it from scratch. David Sullivi emphasized the importance of digital ethics, saying, "Privacy and security are the building blocks of trust, trust is more than just these elements." Also, we recommend that you have a positive attitude at the level of "doing what is right" rather than "conforming to the concept of digital ethics compliance".
Quantum computing is a computational method for processing data by the principle of entanglement and superposition, which is the basic principle of quantum mechanics. If the existing computer can only distinguish between 0 and 1, then quantum computing can coexist with 0 and 1. Currently, IBM, Google, Microsoft and Intel are actively researched. Quantum computing is a huge trend that will completely change the paradigm of computing if it succeeds in development because it allows parallel execution and exponential expansion of work, unlike current computers that do one work and do the next.
2. Autonomous Things
It is a synonym for robots, drone, autonomous vehicles that are already conceptually familiar. It also includes surgical robots and warehouse robots. In addition to the current mode of autonomous navigation, it also means that robots communicate with each other through an automation programming model and naturally interact with the surrounding environment or people. For example, the delivery robot 'Dili', which has been introduced to the nation of delivery, has shown that people are avoiding people or obstacles precisely in test operations.
In addition, there are also behaviors in which robots exchange information and inform traffic information. As another example, Gartner found that harrowing autonomous vehicles were automatically harvested when the drone determined that it was time to inspect the rice field or field and harvest. In addition, autonomous vehicles in the delivery market exchange information with each other to exchange cargo on the best route.
3. Augmented Analytics
Extended analytics or augmentation analysis goes beyond dealing with data. Gartner predicted that by 2023, AI and deep running would be the most common in data science. Deep learning is still an active method, because you live in Korea. You will learn how to learn data through deep learning in the future and output it in natural language, Gartner predicted. It is deep run for deep run. This means that ordinary workers, not data scientists, can interpret and use the results. Gartner believes that by 2021, 75 percent of the reports produced by humans and machines will be replaced by automation (Gartner believes that by 2021, 75 percent of prebuilt
Companies therefore need to focus on implementing analytics technology with an intuitive interface. Gartner recommended an interactive interface. Yes. It is a chatbot.
4. Artificial Intelligence Driven Development (AI-Driven Development)
Currently AI is developed by data scientists and application developers. Artificial intelligence led development is the introduction and improvement of AI developers. Gartner predicts that by 2022 at least 40 percent of application development teams will have AI-based virtual developers. The AI is likely to be the primary source of quality assurance and testing. In fact, NCsoft is putting bots into PvP simulations when it builds its game. The bot is simply good - not focused, but focused on moving like a person.
So what do the experts do? You need to focus on a little more professional issues. According to Gartner's definition, the next step in software development is called augmented software development (ASD), which involves preparing code for AI and automating verification and generation. Once the ASD is processed by the machine, the human developer is expected to act as a translator to interpret the results. Gartner also predicted that in this age it would be common for non-experts to create apps without coding through AI tools.
5. Empowered Edge with Autonomy
What Gartner refers to as an edge refers to devices near the user. The computing of these edges is called edge computing. There is some conflicting concept with cloud computing. It is similar to on-device computing because it is handled near the device, but the range is slightly different because it can be handled nearby, not within the device. Typical edge computing devices are autonomous cars. An autonomous vehicle must deal with itself in an emergency, without actually sending information to the cloud when driving on the road. Therefore, you should not handle everything through communication. There are also cloud computing-style autonomous cars. The autonomous bus Zero Shuttle from Gyeonggi Province utilizes the signal from the server.
Gartner claims Edge Computing is due to IoT products. IoT products, which have to respond sensitively to human behavior and weather, are trying to process processing locally to reduce traffic or latency. It's not a completely conflicting concept with the cloud, because it's not a centralized cloud, but you can think of it as a cloud. Gartner predicts that a 5G commercial will make cloud-edge computing complement each other. Edge Computing will be activated with the arrival of various AI chips over the next five years.
6. Digital Twins
Digital twins are digital replicas of existing ones. It is easy to think of a CAD drawing of a building. Digital twins are needed because of the Internet of Things (IoT) efficiency. We have implemented digital twins and have done the simulation above, and they are producing effective results. According to Gartner predictions, more than 20 billion IoT sensors and products will emerge by 2020. In order to control this effectively, we need to implement digital twins, and software that makes it easier to implement should appear. Therefore, it is necessary to standardize and simplify 3D modeling and strengthen education.
7. Block Chain
It is a model that generates information blocks and continuously verifies whether the information of the previous block is correct in the latter block. Therefore, it provides trust construction, transparency, cost reduction, transaction settlement time, and cash flow improvement.
However, current block-chain companies lack the technology to implement the ideological characteristics (decentralization) of the block chain. This is because the block chain has been around for a while and the technology has been less advanced. As technology becomes more sophisticated, it will be closer to the idea of decentralization, contract validation and government reliability. Some governments have already successfully introduced block chains, and there are cases in which block chains are commercialized (except for coins). There are also various scenarios for the future.
8. Immersive Experience
AR, VR, and MR technologies. It does not simply tell you to experience with AR, but predicts the experience to be enhanced by AI. Natural language processing and speech recognition, which will be more natural through AI, will have a positive impact on immersive experiences, Gartner predicted. Beyond simply watching movies or spending time, it can help with education through AR, assembly of furniture, and creative activities. For example, when you ask the AI about whether the parts fit well when you assemble the furniture, the AI helps.
In addition, Gartner predicted that immersive experiences would be introduced into the edge of automobiles, too. In this case, it was recommended that data processing in the cloud could cause problems such as accidents, thus raising local computing performance.
Over time, this immersive experience will take off the AR headset and take place in the real world. "Over time, the multichannel experience will take full advantage of all the human senses as well as the advanced computer senses (heat, humidity, radar, etc.) of multimode devices," said David Sulliv, vice president of Gartner. This multi-experience environment will provide an ambient experience in which the space surrounding us, rather than individual devices, defines a 'computer'. " Not only the time, but the computer will check all the temperature and humidity, and imply that the whole environment will be used as an AR tool.
9. Smart Spaces
Smart home, and smart city. The above-mentioned block chain, edge computing, IoT, etc. all need to be developed. Smart City, digital work space (immersive experience), smart home, and connected factory are developed for autonomous driving and business automation, and these elements are fused together to achieve automation. For example, an employee can use the app to navigate to the nearest parking space, and once they enter the building, they can be assigned workspaces and conference rooms. At the same time, his 'smart badge' allows him to track his position for safety. It is a concept that integrates SaaS, human resources management, IT service marketing, finance, sales, and marketing automation.
10. Digital Ethics and Privacy
With Facebook and Google's data breaches, 2019 will be a year in which we need to put more effort into data ethics and security.
Gartner recommends that you do not embed digital ethics into your enterprise, but rather embed it from scratch. David Sullivi emphasized the importance of digital ethics, saying, "Privacy and security are the building blocks of trust, trust is more than just these elements." Also, we recommend that you have a positive attitude at the level of "doing what is right" rather than "conforming to the concept of digital ethics compliance".
Gartner's 2019 Strategic Technology Trends
Reviewed by Haseeb Tec
on
June 21, 2019
Rating:
Reviewed by Haseeb Tec
on
June 21, 2019
Rating:
No comments: