ICT Technologies
"Computer Vision, Deep Learning, Natural Language Processing, Business Networking Fabric, Distributed Generation Technology (Block Chain), Edge Computing, Quantum Computing, Serverless Computing, Layered Processing (3D Printing), Augmented Virtual Reality, Digital Twin, Nanotechnology ... "
Dane Anders Forrester, a keynote speaker at the 2019 ICT Industry Outlook Conference held at the Korea Chamber of Commerce and Industry (KCCI) on Wednesday, cited the twelve ICT trends to be noticed in the future.
The 12 technologies pointed out by Dane Anders can be grouped into four categories. Computer vision, deep learning, and natural language processing are included in the AI category, while the remaining technologies are classified into the new digital ecosystem, computing paradigm, and physical digital.
Forrester Research has identified 12 emerging technologies through a survey of over 2,100 ICT decision makers. Prioritizing technologies that major ICT companies are investing heavily to improve customer satisfaction.
"Each technology can be operated individually, but how it fits with other technologies is important, and a breakthrough is created through the intersection of technologies," said Dane Anders, vice president of Dane Anders. "To improve the innovation of more than 2,100 ICT companies, "We need to pay attention to the capabilities we are building in."
■ Artificial intelligence, how to use
Anders' first notable technology is AI technology. Typically, computer vision, deep learning, and natural language processing technology are emerging.
First, computer vision technology, which analyzes pictures and videos, is defined as a technique that visually understands the characteristics of objects or objects. Product services such as facial recognition and emotion recognition are actively being developed.
When it divides the technology into three stages: research and development, commercialization, and growth, computer vision is the commercialization stage technology. The computer vision is commercialized by 2022, and the VC industry's investment is estimated at $ 1.25 billion last year, nearly five times that of 2015.
Some of the leading companies in computer vision are HPE, IBM, Google, Microsoft and others.
Following the computer vision, deep learning was the main technology. Deep learning is a machine learning technique that can be trained by the neural network itself, and is characterized by the ability to find and learn patterns from unstructured data.
Google Tensor Flow, Fluid AI, etc., are among the leading companies in the field of deep-running. Last year, the VC industry invested $ 3.2 billion.
Natural language processing is also a major AI technology with deep running. Chatbot is a technology that can be commonly seen recently. It will be commercialized by 2020 with deep run.
Anders noted City Bank as an example of natural language processing. "Citibank has improved our customer's ability to open emails by 80% with a solution that selects the right marketing words with natural language processing," Anders said.
■ Digital ecosystem, how to relate
In the digital ecosystem category, Anderson's first priority is business networking fabric. It is a somewhat unfamiliar expression, but it represented the network configuration as a bundle of hardware and software, services and data.
Solutions such as Edge Infrastructure, IaaS Backbone, Router, SDWAN Overlay, etc., mean that the network configuration is woven like a fabric.
Typical leading companies in this area include Cisco, Huawei, Juniper Networks, Nokia and VMware. It is noteworthy that we are concentrating on this field in recent years.
In the digital ecosystem, distributed laser technology is one of the notable technologies. It is a technology more commonly known as a domestic west block chain.
Unlike the technology that is expected to be commercialized until the early 2020s, distributed technology will be commercialized until 2030. It means that there are many parts to develop.
Anderson said, "The distributed development technology can take a long time to develop and develop." It may be fast in the simple public sector, but it will take some time to commercialize it in areas where government approval is needed. "
It is also noteworthy that it will be difficult for the brokerage commission revenue-based industry to become a distributor.
"The company, Arcade City in the United States, is a decentralized leisure company, where companies that share cars like Uber are intermediated through fees, while arcade cities directly link customer demand and supply with block-chain technology," said Anderson. "He said.
"Block-chain technology can be Uber's killer," he said. "Connecting directly to a customer without paying a fee to get more revenue from the driver can enable different shared services, As the network grows, businesses that have done business as intermediaries will become more risky. "
■ Computing and paradigm change
In the field of computing, edge computing, serverless computing, and quantum computing are among the notable technologies. With three computing technologies, he emphasized that the way to process data and run applications would be entirely different.
First, edge computing is the first computing technology to be notable. We focused on how to optimize customer experience and maximize the value of connected assets rather than just the technical aspects of processing data from the source of the data, rather than just the centralized server.
Investments in the VC industry are constantly declining. Anderson said that the downsizing of investment means that companies started their own investment and R & D without investing.
Leading edge computing companies include Amazon, Dell EMC, Google, HPE, IBM, and MicroSoft. In other words, most existing computing technology companies are all in the field.
If Edge Computing goes through commercialization by 2022, serverless computing should grow by 2030. It means technology that will be used more than commercialization stage.
Amazon Web Services, Google Cloud, and Microsoft Azure were among the top companies.
Quantum computing, the last of its kind in computing, was seen as the most advanced technology. Therefore, it is expected that research and development before commercialization will proceed by 2020.
Nevertheless, it is noteworthy that we are convinced that quantum computing will inevitably develop.
"It is still in its infancy, but considering the collapse of existing encryption through the use of quantum technologies, "He said.
■ Physically approaching digital field
Notable technologies bundled in physical digital categories include virtual augmented reality, stacked fabrication, digital twinning, and nanotechnology.
First, 360-degree cameras, head-mounted displays, and other virtual reality and augmented reality are technologies that will continue to evolve. It is still in the early stages of commercialization by 2025, but it is because the VC industry is very large.
The VC industry investment in the virtual augmented reality sector is skyrocketing every year from $ 714 million in 2015 to $ 1.86 billion in 2016, to $ 3.21 billion last year.
The digital twin that imitates realistic equipment or objects is also included in the remarkable technology. Typical companies include Amazon, Somosystems, IBM, Microsoft, Oracle, PTC, SAP and Siemens.
The digital twin is expected to be commercialized by 2025
"Computer Vision, Deep Learning, Natural Language Processing, Business Networking Fabric, Distributed Generation Technology (Block Chain), Edge Computing, Quantum Computing, Serverless Computing, Layered Processing (3D Printing), Augmented Virtual Reality, Digital Twin, Nanotechnology ... "
Dane Anders Forrester, a keynote speaker at the 2019 ICT Industry Outlook Conference held at the Korea Chamber of Commerce and Industry (KCCI) on Wednesday, cited the twelve ICT trends to be noticed in the future.
The 12 technologies pointed out by Dane Anders can be grouped into four categories. Computer vision, deep learning, and natural language processing are included in the AI category, while the remaining technologies are classified into the new digital ecosystem, computing paradigm, and physical digital.
Forrester Research has identified 12 emerging technologies through a survey of over 2,100 ICT decision makers. Prioritizing technologies that major ICT companies are investing heavily to improve customer satisfaction.
"Each technology can be operated individually, but how it fits with other technologies is important, and a breakthrough is created through the intersection of technologies," said Dane Anders, vice president of Dane Anders. "To improve the innovation of more than 2,100 ICT companies, "We need to pay attention to the capabilities we are building in."
■ Artificial intelligence, how to use
Anders' first notable technology is AI technology. Typically, computer vision, deep learning, and natural language processing technology are emerging.
First, computer vision technology, which analyzes pictures and videos, is defined as a technique that visually understands the characteristics of objects or objects. Product services such as facial recognition and emotion recognition are actively being developed.
When it divides the technology into three stages: research and development, commercialization, and growth, computer vision is the commercialization stage technology. The computer vision is commercialized by 2022, and the VC industry's investment is estimated at $ 1.25 billion last year, nearly five times that of 2015.
Some of the leading companies in computer vision are HPE, IBM, Google, Microsoft and others.
Following the computer vision, deep learning was the main technology. Deep learning is a machine learning technique that can be trained by the neural network itself, and is characterized by the ability to find and learn patterns from unstructured data.
Google Tensor Flow, Fluid AI, etc., are among the leading companies in the field of deep-running. Last year, the VC industry invested $ 3.2 billion.
Natural language processing is also a major AI technology with deep running. Chatbot is a technology that can be commonly seen recently. It will be commercialized by 2020 with deep run.
Anders noted City Bank as an example of natural language processing. "Citibank has improved our customer's ability to open emails by 80% with a solution that selects the right marketing words with natural language processing," Anders said.
■ Digital ecosystem, how to relate
In the digital ecosystem category, Anderson's first priority is business networking fabric. It is a somewhat unfamiliar expression, but it represented the network configuration as a bundle of hardware and software, services and data.
Solutions such as Edge Infrastructure, IaaS Backbone, Router, SDWAN Overlay, etc., mean that the network configuration is woven like a fabric.
Typical leading companies in this area include Cisco, Huawei, Juniper Networks, Nokia and VMware. It is noteworthy that we are concentrating on this field in recent years.
In the digital ecosystem, distributed laser technology is one of the notable technologies. It is a technology more commonly known as a domestic west block chain.
Unlike the technology that is expected to be commercialized until the early 2020s, distributed technology will be commercialized until 2030. It means that there are many parts to develop.
Anderson said, "The distributed development technology can take a long time to develop and develop." It may be fast in the simple public sector, but it will take some time to commercialize it in areas where government approval is needed. "
It is also noteworthy that it will be difficult for the brokerage commission revenue-based industry to become a distributor.
"The company, Arcade City in the United States, is a decentralized leisure company, where companies that share cars like Uber are intermediated through fees, while arcade cities directly link customer demand and supply with block-chain technology," said Anderson. "He said.
"Block-chain technology can be Uber's killer," he said. "Connecting directly to a customer without paying a fee to get more revenue from the driver can enable different shared services, As the network grows, businesses that have done business as intermediaries will become more risky. "
In the field of computing, edge computing, serverless computing, and quantum computing are among the notable technologies. With three computing technologies, he emphasized that the way to process data and run applications would be entirely different.
First, edge computing is the first computing technology to be notable. We focused on how to optimize customer experience and maximize the value of connected assets rather than just the technical aspects of processing data from the source of the data, rather than just the centralized server.
Investments in the VC industry are constantly declining. Anderson said that the downsizing of investment means that companies started their own investment and R & D without investing.
Leading edge computing companies include Amazon, Dell EMC, Google, HPE, IBM, and MicroSoft. In other words, most existing computing technology companies are all in the field.
If Edge Computing goes through commercialization by 2022, serverless computing should grow by 2030. It means technology that will be used more than commercialization stage.
Amazon Web Services, Google Cloud, and Microsoft Azure were among the top companies.
Quantum computing, the last of its kind in computing, was seen as the most advanced technology. Therefore, it is expected that research and development before commercialization will proceed by 2020.
Nevertheless, it is noteworthy that we are convinced that quantum computing will inevitably develop.
"It is still in its infancy, but considering the collapse of existing encryption through the use of quantum technologies, "He said.
■ Physically approaching digital field
Notable technologies bundled in physical digital categories include virtual augmented reality, stacked fabrication, digital twinning, and nanotechnology.
First, 360-degree cameras, head-mounted displays, and other virtual reality and augmented reality are technologies that will continue to evolve. It is still in the early stages of commercialization by 2025, but it is because the VC industry is very large.
The VC industry investment in the virtual augmented reality sector is skyrocketing every year from $ 714 million in 2015 to $ 1.86 billion in 2016, to $ 3.21 billion last year.
The digital twin that imitates realistic equipment or objects is also included in the remarkable technology. Typical companies include Amazon, Somosystems, IBM, Microsoft, Oracle, PTC, SAP and Siemens.
The digital twin is expected to be commercialized by 2025
ICT Technologies
Reviewed by Haseeb Tec
on
June 25, 2019
Rating:
Reviewed by Haseeb Tec
on
June 25, 2019
Rating:
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