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Edge Computing: The Next Level of Computing

The world is already being digital and we are using our lives most of this digital platform and services, and our workplaces too. The huge growth of remote services and implementations of updated technology in businesses is increasing the production of data and this affects the data sharing process. As the amount and speed of data sharing are incensed, it affects the efficiency of information shared to a data center, such as Cloud, also the cloud might not be able to handle all of this at a time due to an increased amount of data generated by numerous IoT connected devices. In this scenario, edge computing can be a solution for processing data in a faster, cheaper, and reliable way. So let’s be more elaborate about what is this edge computing and why it should matter to us!

How Blockchain and Edge Computing Support Each Other?

Both edge computing and the blockchain are part of these emerging technologies. The edge computing is an advanced and extended form of cloud computing, with collaboration to the internet of things. On the other hand, the blockchain is the main underlying technology of the currencies with the help of the internet of things. Both of these are working on the networks and share the data through the networks. Edge computing and blockchain can hold their backs in their own ways like the blockchain can provide the decentralized marketplace for edge computing whereas edge computing can provide the low latency infrastructure to the blockchain for better performance. For your convenience, I am starting with some introductory parts for both of them.

The Future of Machine Learning

In this era of artificial intelligence, machine learning is the most trending topic ever. Machine learning is a component of Artificial Intelligence Technology. This enables the machines to use its complex algorithms and allows the machines to autonomously learn from the data sets, and continuously make decisions on a specific task by improving the efficiency of the machines. It mainly focuses on computer programs, with the primary aim to make them automatically able to learn from the data and make decisions without any human interference.

The DARQ Age: Coming Era for Technologies

The term DARQ consists of Distributed Ledger Technology as for D, Artificial Intelligence as for A, Extended Reality as for R, and Quantum Computing as for Q. The analytics and the researches show that almost 85% of businesses have experimented with one or more DARQ technologies into their businesses, and it is expected that DARQ technologies will provide a more competitive advantage that they have not experienced with the previously SMAC technologies, i.e., Social Media, Mobile-Friendly Application, Analytics, and Cloud Computing.

Recent trends of Quantum Computing

Quantum computers are a new and trending form of computation that solves the problems in a faster and quicker way, which will take longer times in the case of classical computers. It uses Qubits instead of the classical bits that classical computers use. The basic difference between the qubits and the classical bits lies in their shape and the nature of the data that they encode. The quantum computer has been in the experimental stage for so many years and it is still evolving. In the last year, the Quantum Computer has got so much attention with the inventions of Google’s “Quantum Supremacy”. And the research is also showing that the total market expenditure for Quantum Computing is going to reach up to $9.1 billion annually by the year 2030.

The Emerging Growth of Cloud Computing

The term cloud computing stands for two purposes: one is for storage purposes and its virtualized concepts that can be accessed not only from the raw computers but also from the shared with devices too. And the other purpose is to work remotely from a public cloud. The key advantages of using the cloud are its capabilities to offer more abstract storage, computer power and also network resources. It also offers faster innovations and upgrades by using its flexible resources. It may be leveraged to reduce costs, but it is also the most important technological trends for the past 10 years.

Artificial Intelligence and Machine Learning

Talking about AI or Artificial Intelligence in the language of Computer Science, it is often known as Machine Intelligence that is some machine produced intelligence power, that has been demonstrated in contrast to human’s natural intelligence. Artificial Intelligence is not a recently made trend that occupies the tech industry by just coming, it has so much history behind its development. Since then from now, the AI is facing development by the advancements of the computer power, data science and also by some theoretical understanding of computers.