List of Latest Technologies in computer science

Change is the only constant. This applies to your professional life as well. Up-scaling yourself is a need nowadays, the reason is pretty simple, technology is evolving very quickly. 

     The Top 10  Technology are:

1.    Artificial Intelligence
2.    Blockchain
3.    Augmented Reality and Virtual Reality
4.    Cloud Computing
5.    Angular and React
6.    DevOps
7.    Internet of Things (IoT)
8.    Intelligent Apps (I – Apps)
9.    Big Data
10.    RPA (Robotic Process Automation)

1) Artificial Intelligence (AI)

•    AI existed even before the internet was born, but it is now that the data processing and compute power backbone became strong enough to sustain an entire technology by itself.
•    AI is everywhere today, from your smartphones to your cars to your home to your banking establishment.

2) Blockchain

Interestingly, blockchain as a technology has far-reaching potential in everything from healthcare to elections to real estate to law enforcement.

3) Augmented Reality and Virtual Reality:

Virtual reality (VR) and Augmented Reality (AR) on the other hand, opens up newer avenues for gaming and interactive marketing.

4) Cloud Computing

Cloud computing gives different services through the Internet. Like online data share, data base, servers

5) Angular and React

It is used to creating a modern web application. So, you don’t need to go through a lot of changes in your code base for adding a new feature.

6)DevOps

This is the odd one out on the list. It is not a technology, but a methodology.
DevOps is a methodology that ensures that both the development and operations go hand in hand. DevOps cycle is picturized as an infinite loop representing the integration of developers and operation teams by

7) Internet of Things (IoT):

•    IoT essentially is connecting many devices and creating a virtual network where everything works seamlessly via a single monitoring center of sorts.
•    IoT is a giant network of connected devices – all of which gather and share data about how they are used and the environments in which they are operated.

8) Intelligent Apps (I – Apps)

Intelligent apps are pieces of software written for the mobile device based on artificial intelligence and mobile technology. Examples- Chatbots and Virtual assistance 

9) Big Data

Big data refers to the problem that is linked with processing and storing different types of data

10) RPA (Robotic Process Automation)

•    You don’t need to write any code to automate repetitive tasks.

•    RPA or Robotic Process Automation allows you to automate routine