Top Ten Trending Technologies In 2020

10. RPA (Robotic Process Automation)

RPA (Robotic Process Automation)
The first emerging technology in 2020 is RPA (Robotic Process Automation). In 2017, the  IEEE published Guide for Terms and Concepts in Intelligent Process Automation", the first time to integrate intelligent processing from an industry perspective. Robotic Process Automation (RPA) is a software robot that simulates and integrates human behaviour in digital systems to optimize business processes. RPA automates the process of capturing data, running applications, triggering responses, and communicating with other systems to perform various tasks.


9. Big Data

Big Data
Number 9 technology from our list is Big Data. Data is more important than algorithms. The era of big data is no longer concerned about accuracy not only because we don't need it much, but more importantly, the heterogeneity of data prevents us from achieving accuracy. Big data is a technology that deals with extracting, analyzing, storing or dealing with data sets. These data sets are too large and complex to deal with traditional DPAS data processing application software so we use other frameworks to do the tasks. Hadoop and Spark are two major and famous frameworks for big data problems. 


8. Intelligent Apps (I – Apps)

Intelligent Apps (I – Apps)
At number 8, we have Intelligent Apps. Intelligent apps have a board perspective and they are specifically made for mobile devices. These apps are used to make our life more comfortable in daily routine. Intelligent Apps are based on AI(Artificial Intelligence) and ML(Machine Learning) technology that help you doing your tasks, for example, prioritizing emails, scheduling, reminders, logging interactions etc. Some of the Intelligent Apps are Google Assistant, Siri, Chatbots etc.


7. Internet of Things (IoT)

Internet of Things (IoT)
Next at number 7, we have Internet of Things. The Internet of Things (IoT) refers to embedded physical devices, such as automobiles and home appliances, with computerized systems, such as software and sensors, and is widely used through communication sensing technologies such as intelligent sensing, identification technology, and computing. In the network convergence. In this technology, each device can work automatically, automatically respond to changes in the environment, and exchange data with other devices or devices without human involvement. The main purpose of the Internet of Things is to improve the efficiency and accuracy of devices, saving people money and time.


6. DevOps

DevOps
Next at number 6, we have DevOps. DevOps is a methodology, not a technology. This is awkward to have DevOps in this list but here it is. It is a technique that will help you to automate processes between IT teams and software development. it will help out the company to build, test and release software in a much faster time and at low cost. The promised benefits include increased trust, faster software releases, ability to solve critical issues quickly, and better manage unplanned work.


5. Angular and React

Next, we have Angular and React. Two JavaScript frameworks, Angular and React, can be described as red and purple. At the same time, the choice of these two frameworks has become the most easily asked or considered by the architects

React

Angular and React
React is developed and maintained by Facebook for its own products, including Instagram and WhatsApp. It is also one of the most popular projects on GitHub.

Angular

Angular is maintained by Google and used in Google's Adwords and Fiber projects. Since AdWords is an important gold sucker for Google, naturally Angular is unlikely to die suddenly.


4. Cloud Computing

Cloud Computing
The cloud is very simple. Everything is in the cloud. It can provide users with cloud computing, cloud storage and various application services. The most typical application of cloud computing is various services based on the Internet. Cloud computing success stories include Google's search, Google-Docs; Microsoft's MSN, Bing search; Amazon's Elastic Computing Cloud (EC2) and Simple Storage Service (S3). In simple terms, cloud computing is a low-consumption, high-efficiency virtual resource service that uses applications as the purpose to connect a large number of necessary software and hardware in a certain form through the Internet, and flexibly adjusts as the needs change Collection form.


3. Augmented Reality and Virtual Reality

Augmented Reality (AR)

Augmented Reality and Virtual Reality
Augmented reality technology displays real-world and virtual information at the same time. In visualized augmented reality, users can use the head-mounted display to synthesize the real world and computer graphics multiple times, and then they can see the real world around it.

Virtual Reality (VR)

VR is a reality created through technology. This reality can be a simulation of the real world or a projection of human dreams. VR integrates a variety of information channels such as viewing, listening, touching, smelling, and taste. It can make users forget the real environment they are in and merge into the virtual world.


2. Blockchain

Blockchain
The concept of blockchain is very popular recently. It comes from the implementation of cryptocurrencies such as Bitcoin, but at present, this technology has been gradually applied in various fields. The blockchain is not a new technology, but it is similar to encryption and decryption. The combination of technology, P2P network, etc., gave birth to Bitcoin. Many people are attracted by the crazy development of Bitcoin, and then start to study the technology behind it-blockchain.


1. Artificial Intelligence

Artificial Intelligence
Applications of artificial intelligence have a wide range, including computer science, financial trade, medicine, diagnostics, heavy industry, transportation, telecommunications, online and telephone services, law, scientific discovery, toys and games, music and many more aspect.  Many thousands of artificial intelligence applications are deeply rooted in every industry. In the 1990s and early 2000s, artificial intelligence technology became an element of large systems; but few people think that this is an achievement in the field of artificial intelligence.


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