October 21, 2021

Top 10 Trending Technologies To Master


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Hello Everyone …!

Well I think i am getting curiostic readers for this post as here we are talking about the technologies which are running our world. In India every year approximately 1.5 Million Engineers get enrolled in the world which is completely unaware for them. Let’s stand above the crowd by having touch to some great pillars in quick views.

10) RPA (Robotic Process Automation):

Robotic process automation (RPA) is the application of technology that allows employees in a company to configure computer software or a “robot” to capture and interpret existing applications for processing a transaction, manipulating data, triggering responses and communicating with other digital systems.

RPA is software that automates rules-based actions performed on a computer.” –Chris Huff, chief strategy officer at Kofax. “RPA is an advanced form of business process automation that is able to record tasks performed by a human on their computer, then perform those same tasks without human intervention

For more information about RPA have a look on : https://en.wikipedia.org/wiki/Robotic_process_automation


9) Big Data:

Big data is a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis. But it’s not the amount of data that’s important. It’s what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and strategic business moves. Big data is a big deal for industries. The onslaught of IoT and other connected devices has created a massive uptick in the amount of information organizations collect, manage and analyze. Along with big data comes the potential to unlock big insights – for every industry, large to small.

The term “big data” refers to data that is so large, fast or complex that it’s difficult or impossible to process using traditional methods. The act of accessing and storing large amounts of information for analytics has been around a long time. But the concept of big data gained momentum in the early 2000s when industry analyst Doug Laney articulated the now-mainstream definition of big data as the three V’s:

  • Volume
  • Velocity
  • Variety

For more information about Big Data have a look on : https://en.wikipedia.org/wiki/Big_data


8) Intelligent Apps (I – Apps):

Chatbots, virtual assistants and recommendation engines on e-commerce sites are just some examples of intelligent applications. While it’s difficult to formulate a catch-all definition of smart apps, they have a number of typical features:

  • Data-driven
  • Contextual and relevant
  • Continuously adapting
  • Action-oriented
  • Omnichannel

For more information about Intelligant Apps have a look on : https://medium.com/datadriveninvestor/intelligent-apps-and-its-use-for-future-mobile-solutions-af117e372400


7) Internet of Things (IoT):

The Internet of Things (IoT) is how we describe the digitally connected universe of everyday physical devices. These devices are embedded with internet connectivity, sensors and other hardware that allow communication and control via the web.  The connected “smart home” is a good example of IoT in action. Internet-enabled thermostats, doorbells, smoke detectors and security alarms create a connected hub where data is shared between physical devices and users can remotely control the “things” in that hub (i.e., adjusting temperature settings, unlocking doors, etc.) via a mobile app or website.

For more information about IOT have a look on : https://www.ibm.com/blogs/internet-of-things/what-is-the-iot/


6)  DevOps:

DevOps is Development and Operation’s Collaboration, It’s a Union of Process, People and Working Product that enable continuous integration and continuous delivery of value to our end users. DevOps accelerate the process to deliver applications and software services at high speed and high velocity. Top Programming Languages for DevOps. Why Go, Python, Scala, Ruby and C are excellent programming languages for DevOps teams (and why JavaScript is not). Programming languages are one of the most important tools in the DevOps arsenal.

For more information about DevOps have a look on: https://www.atlassian.com/devops


5)React:

React (also known as React.js or ReactJS) is a JavaScript library for building user interfaces. It is maintained by Facebook and a community of individual developers and companies.

React can be used as a base in the development of Single page or mobile applications. However React is only concerned with rendering data to the DOM and so creating React applications usually requires the use of additional libraries for state management and routing.Redux and React Router are respective examples of such libraries.

For more information about React have a look on: https://reactjs.org


4) Cognitive Cloud Computing:

Cloud computing gives startups the courage to aim their slingshots at longstanding business giants both inside and outside their industries. Startups steal market share and keep executives awake at night because of the freedom they have by being born digital. Free of traditional constraints such as overhead and logistics, they thrive on app-based business models that engender flexibility and help them make the most of their data. Cognitive technology understands unstructured information such as the imagery, natural language and sounds in books, emails, tweets, journals, blogs, sentiments, images and videos. It finds meaning because it can reason through data and offer new contexts to weigh and consider. Our clients see this with IBM Watson and its ability to learn from high volumes of data at astonishing speed. Watson software reads 800 million pages per second. For one of our clients, Watson technology initially ingested 80 million documents and is incrementally adding 30,000 additional documents every day.

For more information about Cognitive Cloud Computing have a look on: https://www.sciencedirect.com/science/article/abs/pii/S1441358213000098


3) Augmented Reality and Virtual Reality:

  • Virtual is real! VR and AR, the twin technologies that let you experience things in virtual, that are extremely close to real, are today being used by businesses of all sizes and shapes. But the underlying technology can be quite complex.
  • Medical students use AR technology to practice surgery in a controlled environment.
  • VR on the other hand, opens up newer avenues for gaming and interactive marketing.

For more information about Augmented Reality and Virtual Reality have a look on: https://www.augment.com/blog/virtual-reality-vs-augmented-reality/


2) Blockchain:

Blockchain was invented by a person (or group of people) using the name Satoshi Nakamoto in 2008 to serve as the public transaction ledger of the cryptocurrencybitcoin. The identity of Satoshi Nakamoto is unknown. The invention of the blockchain for bitcoin made it the first digital currency to solve the double-spending problem without the need of a trusted authority or central server. The bitcoin design has inspired other applications, and blockchains that are readable by the public are widely used by cryptocurrencies. Blockchain is considered a type of payment rail. Private blockchains have been proposed for business use. Sources such as Computerworld called the marketing of such blockchains without a proper security model “snake oil”.

For more information about Blockchain have a look on: https://en.wikipedia.org/wiki/Blockchain


1) Artificial Intelligence (AI):

Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving. The ideal characteristic of artificial intelligence is its ability to rationalize and take actions that have the best chance of achieving a specific goal.

Artificial intelligence is based on the principle that human intelligence can be defined in a way that a machine can easily mimic it and execute tasks, from the most simple to those that are even more complex. The goals of artificial intelligence include learning, reasoning, and perception.

For more information about Artificial Intelligence have a look on: https://www.investopedia.com/terms/a/artificial-intelligence-ai.asp

Have A Great 2020 Ahead…!