Top 10 Trending Technologies to Know in 2019


  1. Artificial Intelligence

In computer science, artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and animals.  AI can be imbued in several applications from robots to mobile consumer tech. See that predictive text on your cellphone? That’s AI at work. Generally, artificial intelligence is used to describe machines that mimic “cognitive” functions that humans associate with other human minds, such as learning and problem-solving.

  1. Blockchain

A blockchain is a digital list of records, called blocks, which are linked using cryptography. Each block contains a cryptographic hash of the previous block, a timestamp, and transaction data. By design, a blockchain is resistant to modification of the data. It is “an open, distributed ledger that can record transactions between two parties efficiently and in a verifiable and permanent way. It has been touted as the next way of paying for things.

  1. Augmented Reality and Virtual Reality

In augmented reality, users see and interact with the real world while digital content is added to it.  Pokémon Go is an excellent example of this. Augmented reality can be downloaded from the phone, and supplemented by the different way such as special AR headsets, such as Google Glass. However, in virtual reality, the user is isolated from the real world and is fully immersed in the virtual world.  Virtual reality needs more advanced technology than augmented reality. You need to wear a special VR headset to experience virtual reality.

  1. Cloud Computing

Cloud computing is a general term for the delivery of hosted services over the Internet. Cloud computing enables on-demand availability of computer system resources, especially data storage and computing power, without direct active management by the user. The term is generally used to describe data centers available to many users over the Internet. Large clouds, predominant today, often have functions distributed over multiple locations from central servers.

  1. Angular and React

Angular and React are entirely different computer programs that write single-page applications code.  AngularJS is a framework, included in the list of the most popular JavaScript frameworks for website development files, and can reuse template or components in a different part of the website.

ReactJS helps update the View component for users with the Document Object Model (DOM) an application programming that defines the logical structure of documents and the way they are accessed and manipulated.

  1. DevOps

DevOps is a philosophy that allows entities to give up their strict control on the computer environment and let software developers make changes in various universes. DevOps is a set of software development practices that combines software development (Dev) and information technology operations (Ops) to shorten the systems development application life cycles while delivering features, fixes, and updates frequently in close alignment with business objectives. DevOps means developers taking responsibility for their own applications even in production.

  1. Internet of Things (IoT)

The Internet of things, or IoT, is a system of interrelated computing devices, mechanical and digital machines, objects, or humans that are provided with unique identifiers (UIDs) and the ability to transfer data over a network without requiring human input. Using Internet connectivity, and other forms of hardware (such as sensors), these devices can communicate and interact with others over the Internet, and they can be remotely monitored and controlled. IoT involves extending Internet connectivity beyond standard devices, such as desktops, laptops, smartphones, and tablets, to any range non-internet-enabled physical devices and everyday objects.

  1. Intelligent Apps (I – Apps)

Intelligent apps are the next generation of applications that use historical and real-time data from user interactions and other sources to make predictions and suggestions, delivering personalized and adaptive user experiences Intelligent Mobile Apps and Analytics. Intelligent apps are the future of computing.  In tandem with highly powerful analytical engines, I Apps are in use in website commerce sites, smartphones, and tablets. They use sophisticated software to “learn” user habits and preferences.

  1. Big Data

Big data is the large blocks of data sets that may be analyzed computationally to reveal patterns, trends, and associations. It is used now to measure human behavior and interactions. Big data runs in cycles of petabytes (1,024 terabytes) or exabytes (1,024 petabytes) of data consisting of billions to trillions of records of millions of people—all from different sources such as the Internet, sales, customer contact center, social media, mobile data and so on. Wonder why Amazon sends you a list of recommendations without prompting? That’s big data at work.

  1. RPA (Robotic Process Automation)

Robotic Process Automation (RPA) allows organizations to automate task across computer applications and systems. Robotic automation interacts with the existing IT architecture to automate repetitive tasks and manual processes previously done by humans. Employers are increasingly using this technology to allow employees to communicate with websites, business and desktop applications, and databases. For example, an employee can program a machine to sort,   send, and package an item—a work previously done by a person. This will be increasingly used in industries that are labor intensive.