Gartner 2020 Strategic Technology Trends - Hyper automation

Gartner vice president David Cearley Fellow level analyst, said: "intelligent human-centered space (people-centric smart spaces) is the core structure for organizing in 2020 an important strategic technology trends Gartner and assess its impact in the major. the people highlighted one of the most technologically significant role as a core technology strategy: the impact customers, employees, business partners, society or other key groups in a sense, all actions taken by organizations are aimed directly or indirect effects of these individuals and groups, this is the 'people-centered' approach. "

 

1

Ultra automation (Hyperautomation)

 

Automation is a super-order deliveries, covering a variety of machine learning, packaged software and automation tools collection. Automation not only includes the super-rich set of tools to automate itself also contains all of the steps of (discovery, analysis, design, automation, measurement, monitoring and re-evaluation). Super automated main emphasis on understanding the scope automated steps, between each other, and combinations thereof associated with a coordinated manner.

 

The trend started by robotic process automation (RPA). But only process automation can not be called super robot automation, it takes a combination of a variety of tools to help replicate part of the human tasks involved in the process.

RPAPlus Note:  ultra-automated just another call, coincides with the RPAPlus been promoting the idea that the advanced version of the RPA Plus, RPA + all kinds of AI can fall application of technology to form a more intelligent, more sophisticated automation capabilities.

 

2

Multiple Experience (Multiexperience)

Between now and 2028, the user experience will be a huge change in two aspects, namely the user for the digital world of perception and how users interact with the digital world. Session platform is changing the way people interact with the digital world, and virtual reality, augmented reality and mixed reality is changing people's perception of the digital world. At the same time perception and interaction patterns of change will bring multi-mode and multi-sensory experience in the future.

 

Brian Burke, vice president of Gartner Research, said: "This model from the 'tech-savvy people' into 'understanding of human technology' computers will replace human beings bear the burden of human-computer interaction of this multi-sensory ability to communicate with humans. We will create a richer environment, which can deliver more detailed information. "

 

3

Expertise democratization (Democratization of Expertise)

Provide technical expertise for people under democratic commitment and expertise in training is not required to accept extensive and costly experience by minimalist premise (eg, machine language, application development) or expertise (for example sales process business, economy analysis). "Citizen" of examples (such as civic data scientists, civil solutions integrator), civil procedure code patterns are developed and no professional knowledge democratization.

 

Gartner predicts that between now and 2023, four key aspects of this democratization trend will accelerate development, including democratization and data analysis (data from the expansion of special tools for scientists to apply to the general popularity of tools developers) democratization (independently developed applications using artificial intelligence tools) development, democratization (low codes, no code continues to increase scenes, application development features more automation, providing support for civil developer) design as well as the democratization of knowledge (non-IT professionals through the use of tools and expert systems, applications beyond professional skills outside of their own expertise and have been training).

4

Enhance body functions (Human Augmentation)

Enhance the study of body awareness and how to use technology to provide enhanced physical fitness and make it an integral part of human experience. Thereby achieving enhanced performance enhancers by implantation or external wearable technology equipment member changes the human body functions inherent in the human body. Cognitive enhancement is achieved by conventional computer systems and new intelligent space to experience multi-interface information and applications. In the next decade, as more and more people seek to enhance the function of human physical and cognitive enhancement technology it will become increasingly common. This will produce a new "consumerization" effect, employees continue to enhance their performance, and further extended to improve the office environment is located.

 

5

Transparency and traceability (Transparency and Traceability)

More and more consumers realize the value of their personal information and make control of personal information required. Organizations also recognize the risk protection and management of personal data is increasing, while the government is implementing strict laws and regulations to ensure that organizations do this. Transparency and traceability has become a key element to support such digital ethics and privacy requirements.

 

Transparency and traceability refers to meet regulatory requirements, to maintain the use of ethics of artificial intelligence and other advanced technologies required to comply with the recovery and lack of trust attitude towards business organizations, actions and assistive technology and practical measures. Organizations in the establishment of transparency and credibility of the measures must focus on three areas: (1) artificial intelligence and machine learning; (2) the personal data privacy, ownership and control; (3) ethical design.

 

6

Edge enabling (The Empowered Edge)

Edge computing is an information processing in the repository near sources of information and users, computing topology content collection and delivery. It attempts to calculate network traffic and processing remain local to reduce latency, the ability to play to the edge and giving greater autonomy edge.

 

Mr. Burke said: "At present, the main concern is the edge computing or distributed off-line capabilities in industry-specific manufacturing, retail and other things embedded system provides but with the edge being given more and more mature and professional and computing resources. more and more data storage, edge computing will be the dominant element of almost every industry and application. sophisticated edge equipment robots, UAVs, autonomous vehicles and operating system will be speed up this transition. "

 

7

Distributed Cloud (Distributed Cloud)

Distributed cloud refers to the current centralized public cloud services are distributed to different physical locations, the original public cloud providers remain responsible for distributed cloud operations, management, updating, and iteration. This is the current centralized model used by most public cloud services is a huge change, and will open up a new era of cloud computing.

 

8

Automation object (Autonomous Things)

Automation object is to use a physical device artificial intelligence to automatically perform those tasks to be performed in the past of mankind. The most typical automation objects robots, UAVs, autonomous vehicles / vessels and equipment. They automation beyond the degree of automation curing procedures can be achieved and can be made by means of artificial intelligence for advanced behavior more natural interaction with their environment and humans. With the improvement of social acceptance and approval of improvement, regulators technological capabilities, automation objects will be increasingly used in public places unrestricted.

 

Burke said: "With the popularity of automation objects, we expect independent intelligent objects will be transformed into whether manned, can make intelligent objects collaborative work in combination with multiple devices such as different kinds of robots can be the same. assembly processes running simultaneously. in the courier industry, the most efficient solution may be caused by autonomous vehicles will be transported to the target area of ​​the parcel, then the final delivery of the car robot and unmanned aerial vehicles. "

RPAPlus Note:  Last year's forecast is ranked first this year, future technology trends.

 

9

Practical block chain (Practical Blockchain)

Block chain can be achieved through trust, transparency and provide cross-ecological ecological value across the business to achieve business exchange, reduce costs, reduce transaction time and improve cash flow settlement to reshape the entire industry. Due dates back to the origin of the assets, therefore the probability of "shoddy" is greatly reduced. Asset tracking for other areas of great value, including tracking food footprint throughout the supply chain to identify the source of contamination, trace each part to assist in product recalls. Block chain can also be used to identity management. Block chain intelligence contract allows the system to automatically trigger actions when an event occurs, such as payment upon receipt of the goods and so on.

 

Mr. Burke said:. "Due to the scalability and interoperability of various technical problems such as poor application block chain in the enterprise is not yet ripe Despite these challenges, but the block chain has subversive and belt to revenue growth potential, organizations should begin to evaluate the technology, even the technology in the near future will not believe the rapid spread of organizations are no exception. "

RPAPlus Note:  From the central government's recent series of policies and platforms, 2020 block chain in the country will be a huge hot spot.

 

10

Artificial Intelligence Security (AI Security)

Artificial intelligence and machine learning will continue to be used to enhance the ability of human decision-making in a variety of application scenarios. While this is to use ultra-automation and automation objects business transformation brings opportunities, but also because of Things, cloud computing, micro-services system (microservices) and smart space adds a number of highly connected and to secure a potential point of attack team leader and risks brought new challenges. Security and Risk Leaders should focus on three key areas - the protection of Artificial Intelligence-enabled system that uses artificial intelligence to enhance security defense mechanisms and psychologically prepared for a malicious attacker to use artificial intelligence.

RPAPlus Note:  Huake Zhi Valley Academy, led by academician He Jifeng leader, focused on the application of artificial intelligence technology and artificial intelligence system of secure and trusted platform for innovation.

Let's take a look back at October 15, 2018 201,910 grand strategy trend, Gartner released:

2019 strategic technology trend number one is: Autonomous Things

Including robotics, unmanned aerial vehicles and autonomous vehicles, etc. Throughout 2019 1--10 month performance, especially in the domestic Dajiang UAV autopilot and a number of the company's strong rise, I had to admit Gartner forecast is still very precise.

"RPAPlus" | from the 2019 RPA + AI summit left  7 Tian

Given our consistent research, we found that about European countries RPA technology earlier than domestic fire for about 2 years, so in 2020 the domestic RPA + AI will not necessarily be the hottest technology strategy, but do not rule 2--3 years later would become the hottest strategic technology.

Do not miss the next 2--3 years hottest technology strategy, all in 2019 RPA + AI Nov. 7 summit.

Registration link:  https://www.wenjuan.com/s/M7FZbq/

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