Technology in Computer Science is making a swift change and is upgrading itself as per the market needs of the users and the business demands. Technology is evolving continuously and we need to keep ourselves abreast of these emerging technologies in the field of Computer Science Engineering .
Artificial Intelligence
Artificial Intelligence Engineering is undoubtedly standing first in the list of top trending technology of Computer Science Engineering. AI refers to “man made thinking power” i.e when we try to incorporate the human intelligence into our machines thereby making them more smart and giving them an edge so that they can have human based skills like reasoning ,learning , problem solving and Decision making.AI is having a lot of practical applications like digital assistants like Siri, Alexa, Cortana in windows 10 , self driven cars ,expert systems designed for medical healthcare to name a few. This Technology has brought revolutionary changes in this century.
Internet of Behaviours
This is another trending technology when we talk of computer Science engineering, this aims at dealing with the basic entity DATA. IOB i.e. Internet of Behaviours refers to the use of the data to drive some specific behaviour patterns from the collection of the data. It aims at the gathering , combining and processing of the data from various sources like public domain, social media ,Government agencies etc.
For example, both Facebook and Google are using the behavioral data of their users to display advertisements to the people accordingly. This is helping businesses in getting connected with their potential audience .
Robotic Process Automation
RBA refers automation in the processes. The amount of human intervention is being reduced and the tasks are being replaced by bots. A lot of Coding needs to be done so as to enable the automation of computerised or non-computerised processes without human intervention e.g. automatic Email replies to automated data analysis and automatic processing and financial transactions approval. Robotic Automation of processes is very fast as it is programmed to do the automation work.
Machine Learning
This trending Technology cannot be given a miss in the list as it is empowering our machines to be smart thereby working on the learning models and improvising the process of decision making which is happening in the artificial devices whom we are making smart or intelligent .It is often called a subset of AI because it is aiming at making the device smart but through a learning model .
Learning can be of two types:- Supervised Leaning and Unsupervised Learning. Supervised Machine Learning is a type of machine learning technique that makes use of a supervisor i.e. already correct outcome of the data is known and we make use of that labeled data set and then try to guess or predict the outcome. For unseen instances the supervised learning algorithm is able to predict the correct class labels.
Unsupervised Learning Method for machine learning focusses on sorted information that is grouped according to similarities and differences even though no categories are provided. In an unsupervised learning model, only input data is given and the outcome is predicted.
5G
Some of the Unique features of 5G that makes it worthwhile are High Speed, Massive Interconnections , Low latency and low power Consumption.Also when 5G is integrated with technologies like cloud Computing , IOT and Edge Computing , it can help businesses grow and can deliver significant econmonic advantages .
Virtual Reality -Augmented and Extended Reality
VR is technology that is generated with the help of the computers that give a real sense of surroundings , scenes and objects . Simulation is one technique that is used to achieve this task.
VR is used extensively in applications like gaming ,education , healthcare etc. This immersive technology has a lot of applications that are helping trainers as well students to embark on their learning journey.
Big Data Analytics
Big Data Analytics deals with the collection of data from different sources, merge it in a way that it becomes available to be consumed by personnels who will be analysing it later and finally deliver products useful to the businessess. The unstructured data that is raw data collected from various sources of the data is coverted into a useful product for organisations. It is one of the trending and significant technology for businesses.
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Data Science
Analysis of the data holds the equal importance as the data itself has. By analysing the data , we are able to understand the relevancy of the data and filter out as per the needs of various classes that will be requiring that data eg. govt. bodies , institutions , banking agencies, medical care providers , MNC’s etc.
