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Top IT Technologies For 2020

As technology evolves at an ever-increasing pace, it brings major challenges to the IT department. <br><br>It is not even possible to predict all the technological advancements annually. As far as the landscape of information technology is concerned, the changes and development are faster and incredible. <br><br>Similarly, the year 2020 is also going to be a year of innovations and new beginnings in the IT industry. Of course Other than IoT app development, AR/VR technology, etc there are some technologies that will rule in 2020. <br>know more at:- https://bit.ly/2U4FcuW<br>

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Top IT Technologies For 2020

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  1. Top IT Technologies For 2020

  2. Introduction Technology has been evolving at an exceptional rate for a decade now. It is not even possible to predict all the technological advancements annually. As far as the landscape of information technology is concerned, the changes and development are faster and incredible. Similarly, the year 2020 is also going to be a year of innovations and new beginnings in the IT industry. Of course Other than IoT app development, AR/VR technology, etc there are some technologies that will rule in 2020. Some of them have been explained below:

  3. Artificial Intelligence Though this technology is receiving a lot of attention since the past few years, there is more to explore. Artificial Intelligence software development has a serious impact on the way the user lives, works and does other regular things. Most of the people use already artificial intelligence in navigation applications, personal assistants for smartphones and homes, etc. They also predict various other things such as maintenance, business risk, energy consumption and many more. Artificial intelligence technology can be also be used in scheduling trains, alarms, etc.

  4. Machine learning Machine learning can be regarded as a subset of the application of artificial intelligence. With the help of machine learning, computers are able to do things that are not pre-programmed. They do so by identifying patterns and learning data. There are many application areas of machine learning such as neural networks, NLP (Natural Language Processing), deep learning and many more.

  5. Robotic Process Automation Robotics Process Automation can be explained as the use of programming to automate processes. With large data entries and work to do, automation lessens human labor to a significant level. There are several tasks that may be automated by the developer such as sending emails, entering data, etc. This will save time, effort and capital investment of the organization. RPA is predicted to take hold of most of the world’s biggest technical giants in the coming year. SaaS application developmentwill also get a prominent advantage with the help of robotic process automation.

  6. Edge Computing Edge computing has been developed to solve the problems that come with a huge quantity of data. It bypasses the latency that cloud computing often causes while storing data. This technology can store cloud sensitive data and work like mini datacenters. This technology is able to process the use of IoT and decentralized data. It is predicted that this technology will reach $6.72 billion by the year 2022. IT is the second name innovation and growth is its identity.

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