Top Technology Trends That will reform life in 2021

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Top Technology Trends 2021

Modern technology is one of the most dynamic aspects of active life. Over here are typically some of the top technology trends that will gently aid you to properly develop your active life as well as your remarkable career in 2021.

Top Technology Trends in 2021

Artificial Intelligence (AI)
5G Technology
Data Science
Blockchain technology
Internet of things (IoT)
Cybersecurity
Virtual reality
Augmented Reality
Edge Computing
Robotic Process Automation (RPA)
Machine Learning

"Every modern Innovative technology divinely inspired the active generation to design a better future"- Gokul Pillai

So are you ready to explore? Come let us start eagerly one by one.

Artificial Intelligence

AI or Artificial Intelligence is one of the top technology trends of 2021. AI refers to an automated machine that can imitate human intellect and actions. It is typically developed as the mortal mind thereby learning and solving efficiently the human problem.

Tech Skills required to become an artificial intelligence:

Programming skills like Python, Java, C++
Linear Algebra, Probability, and Statistics
Spark and Big Data Technologies
Algorithms and Frameworks
Communication and Problem-solving Skills

Leading companies like Google, Apple, Amazon, and IBM are currently investing in this key technology.

5G Network

5G is typically a hi-tech technology expected to deliver higher multi Gbps peak data speed without latency.5G Technology will completely endure a modern experience for the potential users.5G is expected to be 10 to x100 faster than 4G. 5G networks will bring the level of performance needed for the massive Internet of things.

Leading tech companies like Nokia, Ericsson, Samsung, Huawei, Intel, Deloitte, Qualcomm have launched 5G technology.

Data science

Data Science

Data science represents an effective method that helps to examine the vast volumes of data using modern tools and techniques. It uses machine learning algorithms, scientific methods to extract knowledge from structured and unstructured data. Examples of structured data ( Name, Address, geolocation, and so on).Examples of unstructured data ( Rich media, text, social media activity, surveillance imagery, and so on).

Top firms in the pioneering field of data science areas are Oracle, Accenture, Teradata, JPMorgan chase, Amazon.

Some Data Science tools are as follows.

SAS
Apache Spark
Big ML
D3.JS
MATLAB
EXCEL
Ggplot2
Tableau

Tech skills needed to become a data scientist

Bachelor's degree in computer science
Social science
Physical science
Mathematics & Statistics .
Engineering

Blockchain technology

Blockchain is a system where the digital bitcoin transaction is duplicated and distributed across the network effect, making it difficult to change, cheat, or make it impossible to hack the system. In the blockchain, a block refers to a record book or a page of the ledger where it records the transaction of bitcoins. When new data is gathered into fresh blocks and the block is filled with data, it is chained into previous blocks in chronological order called chaining of data. It records transactions in a decentralized way so that no single person or group can have control over it.

Top blockchain leading companies are IBM, Gemini, Circle, Coinbase, SALT landing, Mythical games, CIVIL.

Key skills required for Blockchain technology are as follows :

Graduate/undergraduate with minimum coding and programing language

Networking

Internet of Things

Image by Gerd Altmann from Pixabay IoT

IoT referred to a technology where data are collected and transferred over a wireless network via internet-connected objects. In IoT, devices are introduced with software, sensor, and network connectivity which helps this gadget to transfer data.

Home safety, activity tracker, AR glasses smart contact lenses, industrial security, etc, are some places where IoT technology is widely used.

This technology utilizes data assortment(big data) to provide valuable information regarding client behaviors, interests and, preferences, and this has been extracted because of the internet of behavior (IoB).

Tech skills required for IoT technology

Python and JavaScript
Good knowledge of how the sensor works
Machine learning and Artificial Intelligence
GPS system
Cloud Computing
Security
Big data

Top IoT leading companies are IBM, SAP, CISCO, SOFTEQ, SCIENCESOFT, etc.

Cybersecurity

In the era of the covid-19 pandemic, the whole world has transformed into a digital world. This has given rise to data-driven policing.

Today data has come to be one of the prime targets for any organization whether it's a private or govt organization big or small. Data has befitted one of the deep concerns, so it has to be protected from cyberattacks.

Therefore, many industries have developed cybersecurity to safeguard massive data against cyber threats. Cybersecurity is cited as the modern practice of defending automated systems, networks, and programs from digital attacks.

Leading tech firms in cybersecurity

CISCO
RedHat
IBM

Tech skills are required to pursue a career in cybersecurity.

C, C++, Java, Python, Ruby, Perl, PHP
System and web application administration
Deep understanding of architecture, administration, operating systems, and database knowledge.

Virtual reality

Virtual reality (VR) is cited as a simulated experience and a completely distinct experience from the tangible world. It is utilized in the field of entertainment (e.g. video games), education (e.g. medical or military training), and business (e.g. virtual meetings).

Tech firms like Google, Microsoft, Samsung, oculus VR, HTC Vive, Unity are some of the key companies in VR.

Augmented reality

Augmented reality (AR) represents another version of the tangible world created utilizing digital visual elements, sound, or other sensory stimuli delivered via technology. It is an accelerating tech trend among companies involved in mobile computing and business applications in particular.

Tech firms like Apple, Zapper, Microsoft, Niantic, Magic leap, Augmented reality labs are some of the key companies.

Let’s figure out the fundamental between AR vs VR

Edge computing

Edge computing represents an updated version of cloud computing where data are processed and analyzed on a server. This means the source of data can be accessed as close as possible to reduce latency and bandwidth use.

Advantage of edge computing

Speed
Scalability
Security
Versatility
Reliability

Tech skills required to pursue a career in edge computing

Basic computer skills.
General understanding of the concept and fundamentals of the Internet of Things technology.

Top firms like ClearBlade, Edgeconnex, Mutable, Mobiledgex, Cato Networks, and HPE are leading firms in edge computing.

Robotic process automation (RPA)

Robotic Process Automation

Robotic process automation represents another type of AI and machine learning technology that helps to automate jobs. RPA can be referred to as a robot or a bot software where it is operated to automate business operations that handle menial tasks like transaction processes, routine data, and replying to personalized emails. RPA carries out routine tasks for the employees of the company thereby reducing less time.

Some of the RPA software are as follows:

UiPath
Automation Anywhere
Blue Prism
Pega platform
Laserfiche

Tech skills required to pursue a career in RPA:

Anyone can learn RPA with or without programming knowledge.
Logical reasoning skills.
Good mathematical fundamentals.

Top firms like Cognizant, IBM, Capgemini, ANZ, Accenture, Tech Mahindra, Tata Consultancy Service.

Machine Learning

Machine learning

Machine learning is an application of artificial intelligence (AI) that automatically helps the automation learn, improve from the previous course of action without being explicitly programmed.

The machine learning processes start with information like examples, direct experience, or instructions. This learning process helps the automation make a more appropriate decision soon based on the data structure and examples that we deliver.

Different types of the machine learning algorithms process are as follows:

Supervised machine learning.
Unsupervised machine learning.
Semi-supervised machine learning.
Reinforcement machine learning.

Tech skills required to pursue a career in machine learning:

Applied Mathematics
Computer Science application and programming
Machine Learning Algorithms
Data Modelling and Evaluation
Neural Networks

Top firms like yelp (image curation at scale), Pinterest(improved content discovery), Facebook (chatbot army), google (Neural Networks and Machines That Dream), Baidu( The future of voice search IBM (Better Healthcare).