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Top 10 tech trends for 2020 that you know

Updated: Mar 4

During the year 2019, many technical trends appeared which revealed a lot of progress and development and changed many concepts in the world of technology.


With the introduction of 2020, the Gartner Research Foundation presented the most significant technology trends to come during the year, as follows:



Orientation 1: higher automation

This approach aims to implement tasks requiring a human component. The process of superior automation involves the application and use of advanced technologies, in particular artificial intelligence techniques and machine learning, in order to automate the processes more broadly in addition to improving human capacities.




Orientation 2: Multiple experiences

The concept of multiple experiences refers to the replacement of people qualified to use technology and the adoption of technology that understands people in their place. As this trend becomes more widespread, the traditional notion of computing devices will evolve into a single point of interaction, including user interfaces with multiple touchpoints and sensors such as portable devices and advanced computing sensors.


Orientation 3: Integrate technical knowledge

People can easily get technical expertise and knowledge without the need for extensive and costly training. The issue of popularizing technical knowledge is often described as "improving citizen access", which has resulted in scientists and programmers of citizen data.


Orientation 4: strengthen human capacities

Human physical capacities are strengthened by changing traditional physical capacities by cultivating or harboring specific techniques inside or outside the body. For example, auto plants and mining companies use portable tools to improve the safety of their workers. In other sectors such as retail and tourism, portable devices are used to increase worker productivity.


Orientation 5: Transparency and traceability

Technical development has imposed a crisis of confidence in many cases, users being very aware of the mechanism for collecting and using their data.


Orientation 6: Peripheral computing

This means processing data and information, collecting content and performing operations near information sources, focusing on the fact that keeping data traffic and analyzing it close to its source speeds up the process treatment.


Orientation 7: distributed cloud computing

It indicates the distribution of public cloud services to sites outside the cloud provider's physical data centers, that public providers continuing to monitor and develop these services.


Guideline 8: Self-checking objects

Autonomous objects, including drones, robots, ships, and devices, use artificial intelligence to perform tasks that humans have traditionally performed. These things work at different levels of intelligence, ranging from semi-independent control capabilities to fully autonomous control capabilities, and these things can work in a variety of environments, including land, sea, and air.


Guideline 9: practical applications of blockchain chains

It is a type of distributed recordings. This is an extensive list, arranged in chronological order of signed and irreversible transaction records, which are distributed to all participants in the network.


Guideline 10: Artificial intelligence security

With all technologies, security vulnerabilities will generally emerge and constitute new potential points of attack. Therefore, this question strengthens the movement towards improving the security of artificial intelligence, based on 3 main points:

  1. Protection of systems that work with artificial intelligence technologies: this includes the provision of training data on artificial intelligence and related information, as well as forms for learning about ML machines

  2. Take advantage of artificial intelligence to improve protection systems: this includes taking advantage of machine learning to understand patterns, detect attacks and automate certain parts of cyber protection operations.

  3. Expect the illegal use of artificial intelligence by attackers: this is done by identifying the attacks and responding to them immediately.


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