News & Events
The Top Ten Technologies Of 2020
- October 8, 2020
- Posted by: Diwakar
- Category: AWS Artificial Intelligence Cyber Security Data and Analytics Data Science Machine Learning Mobile/Web Development Network & Administration Robotics
Over the years, technology has transformed our world and our daily lives. Technology has created amazing tools and equipment, which puts useful information in our hands.
Modern technology has paved the way for multitasking devices such as smartwatch and smartphone. Computers are faster, more portable, and more powerful than ever. The last 150 years have seen some of the most dramatic technological advances in history. Electric lights, cars, plastics, telephones, and televisions are all under the age of 150, and innovations such as the Internet have spurred rapid social development.
Advances in technology have improved productivity by allowing employees to do more in a day. This helps increase productivity and boost economic growth.
As the years go by, a new phenomenon is constantly coming up to change the way we see and live. 2020 without Covid-19 saw the technology of building the world open up their ways or flee our homes. Let’s analyse the top 10 this year.
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Artificial intelligence:
Artificial intelligence (AI), the ability of a digital computer or a computer-controlled robot to perform tasks that are often associated with intelligent creatures. The term is often used in a project of developmental programs given to human psychological processes, such as the ability to think, find meaning, integrate, or learn from past experiences. Since the advent of the digital computer in the 1940’s, it has been shown that computers can be programmed to perform more complex tasks – for example, to obtain proof of mathematical discourse or to play chess – with greater efficiency. However, without further advances in computer speed and memory capacity, there are currently no programs that can transform a person into a wide range of domains or tasks that require a lot of everyday knowledge. By 2020, theglobal AI software marketis is expected to grow by about 54 percent annually, reaching a forecast size of $ 22.6 billion. Beginners can have specialized MS training in this sector.
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Blockchain Technology:
Blockchain is a system for recording information in a way that makes it difficult or impossible to modify, hack, or cheat the system. Blockchain is actually a digital ledger of duplicate transactions and distributions across a network of computer programs on the blockchain. Each block in the network contains several transactions, and each time a new transaction occurs in a blockchain, a record of that transaction is added to each participant’s log. The database allocated to most stakeholder positions is known as Distributed Ledger Technology (DLT). Blockchain is a type of DLT in which transactions are recorded with a non-convertible cryptographic signature called a hash.
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Augmented Reality and Virtual Reality:
Augmented reality (AR) adds digital objects to live viewing often through the camera on a smartphone. Examples of augmented reality experience include Snapchat and Pokemon Go game lenses.
Virtual Reality (VR) means a complete immersion experience that covers the physical world. Using VR devices such as the HTC Vive, Oculus Rift or Google Cardboard, users can be sent to many real-world locations that are thought to be in the middle of a roaring penguin colony or even behind a dragon. Online training courses for AI and ML courses have been in trend these days.
In the Mixed Reality (MR) experience, which combines both AR and VR, real and digital objects come together. Blending technology is now starting with Microsoft HoloLens one of the first real-time hybrid devices. The Augmented reality market was estimated at USD 4.21 billion in 2017 and is expected to reach USD 60.55 billion by 2023, at the CAGR of 40.29%, between 2018 and 2023. reaching USD 34.08 billion by 2023, at the CAGR of 33.95%, between 2018 and 2023.
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Cognitive Cloud Computing:
Comprehensive computer identifies technological platforms that include machine learning, consultation, natural language processing, speech, vision, computer communication, which mimics the functioning of the human brain and helps improve human decision-making. Intelligent computer applications combine data analysis with dynamic page display to adjust the content of a particular audience. Some of the features that cognitive systems can produce are interactive, interactive, repetitive and visual and relevant to the context. Computer comprehension systems can compile data from a variety of sources of information, while weighing content and contradictory evidence to suggest excellent responses. To achieve this, cognitive systems include self-study technology using data mining, pattern recognition and natural language processing (NLP) to mimic the way the human brain works.
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Angular and React:
Whether in the end, in the background, building mobile apps and AI applications, JavaScript has become an integral part of development. JavaScript brings a good range of libraries and frameworks where we will focus on the most popular and most important – REACT & ANGULAR.
React and Angular, the most widely used technology have made the lives of developers much easier. they help developers store code by breaking it down into various modules or objects, reusing the code and reusing it. Get a quick understanding of these two so the difference between them through the blog linked below:
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Devops:
DevOps can be the practice of working with development engineers who participate together throughout the life process, from process development to process development to production support. The name “DevOps” was coined in 2009 by Patrick Debois, who became one of its instructors. The term is coined by combining “development” with “performance,” which gives the key to a better understanding of what people mean when they say “DevOps.” Significantly, DevOps is not a process or technology or standard. DevOps is that gaggle of ideas that, while not all new, promote the organization and spread it quickly across the tech community.
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Internet of Things (IOT):
Internet of Things, or IoT, refers to many mobile devices around the world now connected to the web, all collecting and sharing information. due to the advent of low rock chips and therefore a large number of wireless networks, anything can be converted, from something as small as a tablet to as big as an airplane, into part of the IoT. Connecting these different devices and adding sensors to them can increase the level of digital intelligence on devices that can be mute, enabling them to communicate with real-time data without involving anyone. the Web of Things makes the planetary objects around us smarter and more responsive, including digital and physical unity. The global Internet of Things (Io) market size stands at USD 250.72 billion by 2019 and is expected to reach USD 1,463.19 billion by 2027, indicating that the CAGR is 24.9% during the monsoon season.
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5G-the 5th Generation network technology:
5G is the fifth generation of mobile networks, bringing new capabilities that will create opportunities for individuals, businesses and communities. 5G will do much more to improve your network connection. It provides new opportunities, enabling us to deliver important solutions that reach all communities.
Think of the billions of connected devices that collect and share information in real time to measure road accidents; or life-saving apps that will be running due to a guaranteed non-lag connection; or speculative production lines can prevent the disruption well before it occurs. The fastest 5G networks are expected to be at least 10 times faster than 4G LTE, in line with the GSMA wireless sector team. Some experts say that they will get 100 times faster. That’s fast enough to download a two-hour movie in 10 seconds, compared to 7 minutes via 4G.
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RPA (Robot Process Automation):
RPA is the use of technology, driven by business concept and systematic input, which aims to create more efficient business processes. Using RPA tools, the company can configure software, or “robots,” to capture and interpret applications to process transactions, data fraud, create responses and communicate with other digital systems. RPA scenarios range from something as simple as generating an automated response email to sending thousands of bots, each set of tasks to the ERP system. RPA is the use of technology, driven by business concept and systematic input, which aims to create more efficient business processes. Using RPA tools, the company can configure software, or “robots,” to capture and interpret applications to process transactions, data fraud, create responses and communicate with other digital systems. RPA scenarios range from something as simple as generating an automated response email to sending thousands of bots, each set of tasks to the ERP system.
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Big Data:
Big data is data that contains large variations that come in increments and velocities that remain high. Simply, big data is a big, complex data set, especially from new data sources. These data sets are so popular that traditional data processing software cannot handle them. Over the past two years, Big Data has changed the perspective of companies and the way they store data; allows direct deception on big data, and reveals that every day 2.5 quintillion data bytes are produced; this number will only increase in the future.
Although we have tried our best to incorporate all the old technologies, we may or may not have missed something. let us know within the comments below.