Robotic Process Automation
Robotic process automation is the process of automating business operation with the help of Robots. RPA is a way to automate repetitive and often rules-based tasks the process in business operations with the help of robots.
RPA technology can be used to automate operations like the back-office process, infrastructure, user interaction, website, etc. RPA is a software program and we can use it on our computers, laptops, Smartphones. The main goal of Robotics process automation is to reduce human interactions. It also improves customer satisfaction with the applications. RPA is cognizant of & IBM concept and the salary of fresher will start from five lakh per annum.
Big Data is a term used to describe very large amounts of data. in a simple way, big data means huge data and this data keeps on increasing with time. This data is so large and complex that it is very difficult to store and process it by the traditional software applications.
Benefits of Big Data Analytics
Big Data can be used to Companies or organizations can do better decision making, Errors are detected very quickly.
Improves customer service, New product development and saves time, Controls its online reputation,
The following are the types of big data analytics
- Perspective Analytics
- Predictive Analytics
- Diagnostic Analytics
- Descriptive Analytics
As you know which invention has changed the world in the twenty-first century, surely everyone would believe that a device called a smartphone changed everyone’s life.
Internet of Things (IoT)
IoT technology used to connect, collect, and data exchange is mainly related to internet connectivity. A variety of technologies and devices can be linked together through the Internet of Things.
Internet of Things is a major revolution in the development of networking. This technology is used to connect all gadgets and electronic devices through the Internet. All the smart devices will be connected with the help of this technology and send or receive data to each other.
Nowadays this technology is very successful and is becoming very useful for peoples. With the help of this technology, our lives will become very easy in the coming times. With the help of this, you can link any of the devices with the internet and get do any work according to you. IoT provides us with such opportunities so that we can do our work more efficiently and save out time and money and our work should also be done easily.
DevOps (Development and Operations)
DevOps technology is the relationship between Development and Operations. The word ‘DevOps’ is a combination of two words ‘development’ and ‘operations.
With the help of DevOps increase the organization’s speed. Mainly DevOps is used for large distributed applications such as eCommerce sites or applications hosted on the cloud platforms. DevOps is the arrangement of development and IT operations with better communication and collaboration. AWS and Azure both are using DevOps and both are recruiting DevOps.
- Simple and Easy to Use
- Makes a Web Page Dynamic
- Works with Multiple Languages
Cloud Computing technology provides service through the Internet. This service can be anything like off-site storage or computing resources. Cloud computing is actually the use of Internet-based processes and computer applications. Cloud Computing means sorting and accessing the data and programs over the internet, Google, YouTube, Dropbox, Facebook, Amazon are examples of cloud computing, Most IoT devices require the cloud.
Types of Cloud Computing
- Public Cloud
- Private Cloud
- Hybrid Cloud
- Community Cloud
Read More:- What is the CLOUD TECHNOLOGIES
AR and VR (Augmented reality in Virtual reality)
Augmented Reality (AR) and Virtual Reality (VR) has completely changed various business sectors. These technologies have allowed people to have better interaction with technology.
Augmented Reality is a technology in which a computer-generated image is covered on a real-world user view. Reality is also changed here with the help of computer-generated visual, audio, graphics, etc. AR (Augmented Reality) is different from VR (Virtual Reality). Augmented Reality replaces the perception of the actual environment, while Virtual Reality replaces the actual environment completely.
Virtual reality is a computer system. with the help of this, an imaginary world is created and the user feels like being in the current situation. Virtual reality is the opposite of augmented reality. In this technology visual and voice are used. Virtual reality is used in applications related to 3D environments, visual multimedia, etc. for this a headset has been made in which the camera is present and such VR headsets are available in the market. These include Vive, Oculus Rift, Google Daydream, etc.
The blockchain is the time-stamped series of absolute records of data and that is managed by the computers and each of these blocks of data is secured and combine with each other using cryptographic principles.
Blockchain is a digital ledger. Ledger is a book that maintains an account where debits and credits transactions or those entries from the original book are updated in this ledger. originally a blockchain is a growing list of records, called blocks, that are linked using cryptography. Each block contains the cryptographic hash, timestamp, and transaction data of the previous block. Once the data has been entered into a block, it cannot be changed without changing every subsequent block.
Artificial Intelligence and Machine Learning
Machine learning is a type of application of artificial intelligence (AI) that gives the systems the ability to learn automatically and improve themselves when needed. They use their own experience for doing this.
Machine learning always focuses on the development of computer programs, so that they can access the data and later use it for their own learning. It is an area of computer science, in which the intelligence of machines can work as a human. e.g. Google Assistant
Machine learning is also a core part of Artificial intelligence. This gives the system the ability to automatically learn and improve from experience. It focuses on the development of computer programs to access the data and learn from it automatically.