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Which technology will be required for IT jobs in 2022?

Which technology will be required for IT jobs in 2022?





1. Artificial Intelligence (AI)

Artificial intelligence is a field of computer science that focuses on building systems that interact with humans using intelligent agents. These agents may be embodied in software programs, mobile devices, or some combination of both. AI is often associated with expert systems, neural networks, machine learning, robotics, autonomous vehicles, natural language processing, speech recognition, and various forms of automation.

2. Augmented Reality (AR)

Augmented reality is a live direct or indirect view of a physical real-world environment whose elements are augmented (or supplemented) by virtual computer-generated sensory input such as sound, video, graphics or GPS data. AR technologies overlay information about the world onto the user's perception of reality, either on a single display screen (head-mounted displays), or on a viewport larger than the human eye (projected displays). Common applications range from military training simulators to business presentations.

3. Virtual Reality (VR)

Virtual reality is a simulation created by combining virtual worlds and real environments. A virtual reality experience replicates an environment where users feel they are physically present in a simulated world. Users wear head mounted displays (HMD) to perceive the VR environment. HMDs vary widely in their level of immersion, with low-end consumer grade headsets providing simple stereoscopic vision at relatively low cost. Higher end professional grade equipment provides full body tracking, high resolution displays, and increased immersion.

 

 

4. Robotics

Robotics is the use of robots, automata or cybernetic organisms to perform tasks normally performed by humans. Robots are machines guided by a computer program that performs specific actions automatically. In contrast to traditional industrial automation, robotics deals with the design and construction of robots intended to work in unstructured environments.

5. Internet of Things (IoT)

The internet of things refers to the interconnection of uniquely identifiable embedded computing devices within the existing infrastructure of objects (embedded computers/devices) via unique identifiers (UIDs). IoT enables these embedded devices to connect to the Internet and share information. The concept was originally proposed by Kevin Ashton in 1999, who later founded the company, Auto-ID Center, Inc., now known as International Business Machines (IBM) Corporation in 2001.

6. Machine Learning (ML)

Machine learning is a subfield of artificial intelligence concerned with the creation of algorithms that learn from data and make decisions based on that data. ML techniques have been successfully applied to many different domains, including image classification, spam filtering, stock market prediction, fraud detection, medical diagnosis, etc.

7. Quantum Computing

Quantum computing is a branch of quantum mechanics that uses the principles of quantum physics to build faster computers. Unlike classical computers, which process information according to the laws of classical physics, quantum computers exploit phenomena such as superposition and entanglement that do not occur naturally in classical computers.

 

 

8. Cloud Computing

Cloud computing is a model of service delivery for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction.

 

 


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