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Top 5 Technology in This Decay

Technology is constantly updating at such a rapid pace that it seems it is might be faster than light!

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Learn Those Technology and grab your dream job

The year 2010 doesn’t sound like it was that long ago, but technology moves fast. A decade ago Tinder, Uber and Instagram didn’t exist. No one wore wearables, nobody talked to their gadgets at home and the Tesla was just an idea.

A technology or a programming language that is making the rounds this week may be obsolete by the next few days! As more and more funds are invested in research and development, computer scientists and professionals are constantly tweaking and improving existing technologies to get the most out of them.

To keep up with this crazy pace of development, you have to keep learning the latest technology concepts. We will look at the most trending technologies that you must learn. Learn about the top hottest skills to learn to get a job.

Latest Trending Technology of 2021

Here are some of the latest trending technologies that are sure to dominate the IT industry in 2021 and the upcoming years – 

1. Artificial Intelligence:

What Is AI ?

Artificial intelligence (AI) is a wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. AI is an interdisciplinary science with multiple approaches, but advancements in machine learning and deep learning are creating a paradigm shift in virtually every sector of the tech industry. 

  1. Thinking humanly
  2. Thinking rationally
  3. Acting humanly 
  4. Acting rationally
How does it work?

AI is used in navigation based applications like Uber, voice assistants like Siri, video streaming services like Netflix, IoT devices and in search engines like Google and Bing. AI helps in automating tasks such as traffic, scheduling trains, making business predictions and designing driverless cars!

ARTIFICIAL INTELLIGENCE EXAMPLES
  • Smart assistants (like Siri and Alexa)
  • Disease mapping and prediction tools
  • Manufacturing and drone robots
  • Optimized, personalized healthcare treatment recommendations
  • Conversational bots for marketing and customer service
  • Robo-advisors for stock trading
  • Spam filters on email
  • Social media monitoring tools for dangerous content or false news
  • Song or TV show recommendations from Spotify and Netflix
Job Scope:

By 2030, AI automation is expected to create more than 70 million jobs. 

So You have to learn the following topic-

  • Machine Learning Engineer
  • Data Scientist
  • Computer Vision Engineer
  • Business Intelligence Developer
  • Data Analyst

2. Internet of Things

What is IOT ? 

The Internet of Things is the concept of connecting any device (so long as it has an on/off switch) to the Internet and to other connected devices. The IoT is a giant network of connected things and people – all of which collect and share data about the way they are used and about the environment around them.

How does it work?

Devices and objects with built in sensors are connected to an Internet of Things platform, which integrates data from the different devices and applies analytics to share the most valuable information with applications built to address specific needs.

These powerful IoT platforms can pinpoint exactly what information is useful and what can safely be ignored. This information can be used to detect patterns, make recommendations, and detect possible problems before they occur

ARTIFICIAL INTELLIGENCE APPLICATIONS

IoT applications use machine learning algorithms to analyze massive amounts of connected sensor data in the cloud. Using real-time IoT dashboards and alerts, you gain visibility into key performance indicators, statistics for mean time between failures, and other information. Machine learning–based algorithms can identify equipment anomalies and send alerts to users and even trigger automated fixes or proactive counter measures.

With cloud-based IoT applications, business users can quickly enhance existing processes for supply chains, customer service, human resources, and financial services. There’s no need to recreate entire business processes.

JOB SCOPE:

Learning this latest technology will help you find jobs such as:

  • IoT Software Developer
  • System Design Engineer
  • IoT Product Manager
  • IoT Research Developer 
  • IoT Solution Architect

3. Data Science

What Is Data Science:

Data science is an essential part of any industry today, given the massive amounts of data that are produced. Data science is one of the most debated topics in the industries these days. This includes business data, sales data, customer profile information, server data, and financial figures.  Its popularity has grown over the years, and companies have started implementing data science techniques to grow their business and increase customer satisfaction.

Most of this data is in the form of huge data sets that are unstructured. The role of data scientists is to convert these unstructured data sets into structured datasets. Then, these data sets can be analysed to identify patterns and trends. These patterns are useful for understanding the company’s business performance, customer retention, and how these areas can be improved.

APPLICATIONS OF DATA SCIENCE:

Data science or data-driven science enables better decision making, predictive analysis, and pattern discovery. It lets you:

  • Find the leading cause of a problem by asking the right questions
  • Perform exploratory study on the data
  • Model the data using various algorithms 
  • Communicate and visualize the results via graphs, dashboards, etc.
  • Build predictive analytics models to forecast flight delays
  • Offer personalized promotional offers based on customers booking patterns.
JOB SCOPE:

The average salary of a Data Scientist is $117,345/yr. No wonder the Harvard Business Review called it the “sexiest job of 21st Century”.

Future scope of data science is bright which will create opportunities for the following career roles:

  • Data Scientist
  • Data Architect
  • Business Intelligence Manager
  • Data Engineer
  • Data Analyst

4. Robotics:

what Is Robotics:

Robotics is an interdisciplinary field that integrates computer science and engineering. Robotics involves design, construction, operation, and use of robots. The goal of robotics is to design machines that can help and assist humans.

The biggest change in industrial robots is that they will evolve into a broader variety of structures and mechanisms. In many cases, configurations that evolve into new automation systems won’t be immediately recognizable as robots. For example, robots that automate semiconductor manufacturing already look quite different from those used in automotive plants. 
We will see the day when there are more of these programmable tooling kinds of robots than all of the traditional robots that exist in the world today.

Types Of Robots:
  1. Autonomous Robots

  2. Pre-Programmed Robots

  3. Humanoid Robots

  4. Augmenting Robots

  5. Teleoperated Robots

APPLICATIONS OF ROBOTICS
  • Helping fight forest fires
  • Working alongside humans in manufacturing plants 
  • Surgical assistants
  • Last-mile package and food order delivery
  • Autonomous household robots
  • Assisting with finding items and carrying them throughout warehouses
  • Used during search-and-rescue missions after natural disasters
  • Landmine detectors 
JOB SCOPE

The most popular vendors that provide RPA tools are Pega Systems, Blue Prism, UiPath, Automation Anywhere, and WorkFusion. Companies such as Accenture, Deloitte, and Capgemini use RPA tools to automate their daily operations. So, the demand is huge for professionals skilled in RPA. 

The different RPA job roles are as follows:

  • RPA Developer
  • RPA Business Analyst
  • RPA Consultant
  • RPA Solution Architect
  • RPA Project Manager

5. Blockchain Technology

What is Blockchain Technology:

Blockchain, sometimes referred to as Distributed Ledger Technology (DLT), makes the history of any digital asset unalterable and transparent through the use of decentralization and cryptographic hashing.  

A simple analogy for understanding blockchain technology is a Google Doc. When we create a document and share it with a group of people, the document is distributed instead of copied or transferred. This creates a decentralized distribution chain that gives everyone access to the document at the same time.

Bitcoin was designed to solve this problem by using a specific type of database called a blockchain. Most normal databases, such as an SQL database, have someone in charge who can change the entries (e.g. giving themselves a million X dollars). Blockchain is different because nobody is in charge; it’s run by the people who use it. What’s more, bitcoins can’t be faked, hacked or double spent – so people that own this money can trust that it has some value.

BLOCKCHAIN EXPLAINED:

A blockchain is a database that stores encrypted blocks of data then chains them together to form a chronological single-source-of-truth for the data

  1. Digital assets are distributed instead of copied or transferred, creating an immutable record of an asset

  2. The asset is decentralized, allowing full real-time access and transparency to the public

  3. A transparent ledger of changes preserves integrity of the document, which creates trust in the asset.

  4. Blockchain’s inherent security measures and public ledger make it a prime technology for almost every single sector

JOB SCOPE:

There is a rise in careers in Blockchain and it will create different job positions which are as follows:

  • Blockchain Developers
  • Blockchain Quality Engineer
  • Blockchain Legal Consultant or Attorney
  • Blockchain Engineer

The Other Technology That is Going to be Crazy

DEEP FAKE TECHNOLOGY

Deepfake technology can seamlessly stitch anyone in the world into a video or photo they never actually participated in.

new automatic computer-graphics or machine-learning systems—can synthesize images and videos much more quickly.

Virtual Reality

VR is the technology by which you can immerse yourself in an environment that seems astonishingly realistic. It is the use of computer technology for creating a simulated environment. It is very popularly used for playing computer games. 

Autonomous Driving:

An autonomous car is a vehicle capable of sensing its environment and operating without human involvement. A human passenger is not  required to be present in the vehicle at all. An autonomous car can go anywhere a traditional car goes and do everything that an experienced human driver does.

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