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Monday, February 17, 2020

10 technology trends to be aware of in 2020


Trend No 1. Hyperautomation
Automation uses technology to automate tasks that once required humans. Hyperautomation deals with the application of advanced technologies, including artificialintelligence (AI) and machine learning (ML), to increasingly automate processes and augment humans.
Hyperautomation often results in the creation of a digital twin of the organization.
hyperautomation today involves a combination of tools, including robotic process automation (RPA), intelligent business management software (iBPMS) and AI, with a goal of increasingly AI-driven decision making. 

 

Trend No. 2: Multiexperience

Multiexperience replaces technology-literate people with people-literate technology.
Currently multiexperience focuses on immersive experiences that use augmented reality (AR), virtual (VR), mixed reality, multichannel human-machine interfaces and sensing technologies. The combination of these technologies can be used for a simple AR overlay or a fully immersive VR experience. 

Trend No. 3: Democratization

Democratization of technology means providing people with easy access to technical or business expertise without extensive (and costly) training. It focuses on four key areas — application development, data and analytics, design and knowledge — and is often referred to as “citizen access,” which has led to the rise of citizen data scientists, citizen programmers and more. 

 

Trend No. 4: Human augmentation

Human augmentation is the use of technology to enhance a person’s cognitive and physical experiences.
Physical augmentation falls into four main categories: Sensory augmentation (hearing, vision, perception), appendage and biological function augmentation (exoskeletons, prosthetics), brain augmentation (implants to treat seizures) and genetic augmentation (somatic gene and cell therapy). 
Cognitive augmentation enhances a human’s ability to think and make better decisions. Human augmentation carries a range of cultural and ethical implications.

 

Trend No. 5: Transparency and traceability

AI and ML are increasingly used to make decisions in place of humans, evolving the trust crisis and driving the need for ideas like explainable AI and AI governance. 
This trend requires a focus on six key elements of trust: Ethics, integrity, openness, accountability, competence and consistency. 
Legislation is being enacted around the world, driving evolution and laying the ground rules for organizations. 

 

Trend No. 6: The empowered edge

Edge computing is a topology where information processing and content collection and delivery are placed closer to the sources of the information, with the idea that keeping traffic local and distributed will reduce latency. Empowered edge looks at how these devices are increasing and forming the foundations for smart spaces, and moves key applications and services closer to the people and devices that use them.
By 2023, there could be more than 20 times as many smart devices at the edge of the network as in conventional IT roles.

 

Trend No. 7: The distributed cloud

Distributed cloud refers to the distribution of public cloud services to locations outside the cloud provider’s physical data centers, but which are still controlled by the provider.
Distributed cloud allows data centers to be located anywhere. This solves both technical issues like latency and also regulatory challenges like data sovereignty. It also offers the benefits of a public cloud service alongside the benefits of a private, local cloud. 

 

Trend No. 8: Autonomous things

Autonomous things, which include drones, robots, ships and appliances, exploit AI to perform tasks usually done by humans. This technology operates on a spectrum of intelligence ranging from semiautonomous to fully autonomous and across a variety of environments including air, sea and land.

Trend No. 9: Practical blockchain

Blockchain, which is already appearing in experimental and small-scope projects, will be fully scalable by 2023.
In the future, true blockchain or “blockchain complete” will have the potential to transform industries, and eventually the economy, as complementary technologies such as AI and the IoT begin to integrate alongside blockchain. Blockchain, which is already appearing in experimental and small-scope projects, will be fully scalable by 2023.

 

Trend No. 10: AI security 

Evolving technologies such as hyperautomation and autonomous things offer transformational opportunities in the business world. However, they also create security vulnerabilities in new potential points of attack.
AI security has three key perspectives:
1.      Protecting AI-powered systems: Securing AI training data, training pipelines and ML models. 
2.      Leveraging AI to enhance security defense: Using ML to understand patterns, uncover attacks and automate parts of the cybersecurity processes. 
3.      Anticipating nefarious use of AI by attackers: Identifying attacks and defending against them. 


Source: https://www.gartner.com/smarterwithgartner/gartner-top-10-strategic-technology-trends-for-2020/

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