Robotic Process Automation (RPA)
Robotic Process Automation, or RPA, is a technology that, like AI and Machine Learning, automates work. RPA is the use of software to simplify business procedures such as program interpretation, transaction management, data handling, and even email response. RPA automates routine activities that were formerly performed by humans.
While Forrester Research reports that RPA automation would endanger the livelihoods of 230 million or more information employees or roughly 9% of the global workforce. RPA is also generating new jobs and changing existing ones. According to McKinsey, fewer than 5% of jobs can be fully automated, but about 60% can be partly automated.
RPA has many job options for you as an IT expert looking to the future and attempting to consider emerging technological developments, including developer, project manager, market analyst, solution architect, and consultant.
Edge Computing
Edge computing, at the most fundamental level, puts processing and data storage closer to the computers that collect it. Rather than focusing on a central location that could be thousands of miles apart, it brings the data closer to where it is needed. This is done to ensure that data, especially real-time data, does not suffer from latency problems that can degrade scalability. Furthermore, by doing the processing handled locally, businesses can save resources by reducing the volume of data that has to be stored in a consolidated or cloud-based area.
Edge computing evolved as a result of the rapid development of Internet of Things (IoT) gadgets that link to the cloud to either receive information from the cloud or send data back to the cloud. In addition, multiple IoT devices produce massive volumes of data throughout their activities.
Quantum Computing
A quantum machine uses some of quantum mechanics’ almost magical phenomena to produce massive jumps in computing power. Quantum machines have the potential to outperform the most powerful supercomputers of yesterday and today.
One of the really exciting uses of quantum computers is the simulation of matter’s behavior at the molecular level. The computers are also ideal for dynamic systems because they can rapidly sift through a large number of possible solutions. Airbus, for example, employs them to assist in calculating the most fuel-efficient takeoff and descent paths for aircraft. In addition, Volkswagen has launched a program that determines the best routes for buses and taxis in cities in order to reduce traffic. Many experts believe computers could also be used to speed up artificial intelligence.