Top 10 Trending Technologies
This applies to your professional life as well. Up-grading yourself is a need nowadays, the reason is pretty simple, technologies are evolving very quickly.
So I have listed the top 10 trending technologies, which are expected to acquire a huge market.
- Artificial Intelligence
- Augmented Reality and Virtual Reality
- Cognitive Cloud Computing
- Angular and React
- Internet of Things (IoT)
- Intelligent Apps (I – Apps)
- Big Data
- RPA (Robotic Process Automations
1. Ariticial Intelligence:
What Is 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.
What is Blockchain?
If this technology is so complex, why call it “blockchain?” At its most basic level, blockchain is literally just a chain of blocks, but not in the traditional sense of those words. When we say the words “block” and “chain” in this context, we are actually talking about digital information (the “block”) stored in a public database (the “chain”).
3. Augmented Reality and Virtual Reality
The Difference Between AR and VR
AR and VR Are Not the Same. Virtual reality and augmented reality accomplish two very different things in two very different ways, despite the similar designs of the devices themselves. VR replaces reality, taking you somewhere else. AR adds to reality, projecting information on top of what you’re already seeing. They’re both powerful technologies that have yet to make their mark with consumers, but show a lot of promise. They can completely change how we use computers in the future, but whether one or both will succeed is anyone’s guess right now.
4. Cognitive Cloud Computing
What is a Cognitive Cloud platform? Think of it as extending the ecosystem that will make it possible to create and bring Cognitive Computing applications to the masses. Startup Cognitive Scale is providing an incarnation of the concept via its portable, open-standards based Cognitive Cloud platform that aims to accelerate value from a company’s existing investments in Big Data. It takes a technology-independent approach:
5. Angular and React
- Using React and Angular one can create a highly modular web app. So, you don’t need to go through a lot of changes in your code base for adding a new feature.
- Angular and React also allows you to create a native mobile application with the same JS, CSS & HTML knowledge.
- Best part – Open source library with highly active community support.
7. Internet of Things (IoT)
The Internet of Things, or IoT, refers to the billions of physical devices around the world that are now connected to the internet, all collecting and sharing data. Thanks to the arrival of super-cheap computer chips and the ubiquity of wireless networks, it’s possible to turn anything, from something as small as a pill to something as big as an aeroplane, into a part of the IoT.
8.Intelligent Apps (I – Apps)
Intelligent Apps and its Use for Future Mobile Solutions. Intelligent Apps are the application which acquires real-time and historical data from user interactions and other sources in order to provide suggestions and make predictions.
9. Big Data:
Big Data is also data but with a huge size. Big Data is a term used to describe a collection of data that is huge in volume and yet growing exponentially with time.
In short such data is so large and complex that none of the traditional data management tools are able to store it or process it efficiently.
Example in short:
Social Media, the statistic shows that 500+terabytes of new data get ingested into the databases of social media site Facebook, every day. This data is mainly generated in terms of photo and video uploads, message exchanges, putting comments etc.
Robotic Process Automation is the technology that allows anyone to configure computer software, or a “robot” to emulate and integrate the actions of a human interacting within digital systems to execute a business process.
RPA robots utilize the user interface to capture data and manipulate applications just like humans do.
They interpret, trigger responses and communicate with other systems in order to perform on a vast variety of repetitive tasks.
Only substantially better: an RPA software robot never sleeps and makes zero mistakes.