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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.

Artificial Intelligence in Cybersecurity

The increasing numbers of cyber attacks and cyber threats are continuously making today’s cybersecurity tools and human cybersecurity teams impossible to cope up with this latest malware problems. Even almost 56% of researches and surveys show that cybersecurity analysts can not cope up with the increasing numbers of malware. These cyber-attacks are growing in numbers on a daily basis and making it more complex to cope up with this. And reaching these hackers is also getting impossible as they can commit the theft or do harm in someone’s personal or professional resources remotely with the help of the latest technologies.

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.

Natural Language Processing and RPA

NLP or natural language processing is a branch of computer technology. It actually smoothens the connection between human and machine by teaching the machines to understand natural human language both verbally and written. Don’t you think that why NLP, while using ML it is able to identify the data sets and make changes to it or perform some work on it? Then come to the main point.

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.

Blockchain: The Modern Way to get Secured Data

Blockchain is literally just a chain of blocks. The words “block” and “chain” in this context are actually talking about digital information (block), that is stored in a public database (chain). These Blocks are made up of little pieces of “digital information”, having three parts: one part stores information about any transaction, another part stores the information about the participants of that transaction and the other part stores information that helps to distinguish one block from another.