HDTH-Based Intelligent Healthcare Systems

IoT is well known for its technical advancement in resolving real world problems by implementing biomedical engineering along with parallel computing domains with diversified applications. It is a dynamic collection of sensors, cloud storage and multiple embedded devices for data exchange by evolving remarkable shifts in robust intelligent systems. Just by using sophisticated sensors the life of patients will not improve so as to ensure the critical situations data will be stored on a cloud server and analyzed by healthcare professionals through online consultation.

Importance of Deep Learning and Neural Networks :

Neural computing, Deep learning are in high demand because of architecture made of multi-layer artificial neural network.It acquire qualities and knowledge just similar to the human brain in learning new things like speech recognition, language processing and data analysis in research. IoT is also used in patient monitoring and in aiding wearable medical devices. The data generated is beyond our control hence we would require a system that will manage data in a suitable manner. Technology and medical science are proving better means for the healthcare sector.

Intelligent Healthcare Systems
Intelligent Healthcare Systems

Deep learning is the first choice for data analysis and image processing through ECG, EEG MRI, CT, Angiography, X-ray images, etc. It is helpful in providing good and efficient  results with a greater speed in chronic situations. It is an evolving field for researchers to cover multidisciplinary topics of any field and areas. 

There are many inventions going nowadays on different topics related to IoT and some of them are as follows :

  • IoT sensors for smart healthcare devices
  • Telemedicines
  • Data Security in healthcare
  • ECG Classification using Deep learning
  • EEG Classification using Deep learning
  • Medical Image Classification using Deep learning
  • Medical Image Segmentation using Deep learning
  • Medical Image fusion using Deep learning

Various countries are adopting IoT worldwide for improving and managing the dynamic, heterogeneous, multi-source data with great velocity to improve the critical medical conditions. Managing the data will lead to integrating, collecting, processing, analyzing, extracting knowledge by proceeding with the challenging task in progressive manner. But healthcare sector is quite challenging for IoT to come up with a device or an application that will fulfill patient need in real time and conditions with certain parameters. In order to proceed with this challenge Hadoop based Intelligent system (HICS) came into existence that uses IoT and contextual big data in the healthcare system which is connected to an enormous network connected with millions of devices to gather data.

Procedure of Data Analysis :

The collected data then processed with sensors, wearable devices, connected with the patient body and forwarded them to Intelligent building(IB) through PMD (primary mobile device) by using the internet. After analyzing the data the parameters are set to identify the seriousness and abnormality of a patient. They use publicly available medical sensors in real time traffic by using statistical methods, thresholds and machine learning techniques. IB consists of 3 main parts :

  • Big Data Collection used for collection, filtration and load balancing
  • Hadoop processing Unit used for file distribution and MapReduce
  • Analyze the situation and perform actions
  • Decision Making are equipped with medical expert system

New Revolution – Industry 5.0 Production Model

We have already discussed robotics, machine learning and artificial intelligence in our previou blogs for your better understanding of the technological world. We are again here with the new version of automation technology IOT Industry 5.0 which focuses on machine and human interactions. Big data and IoT are the technologies helping humans in soothing their work by better and faster means. It is an advantage to Industry 4.0 automation.

Advantages of Industry 5.0

  •  Responsive Environment
  •  Increased Productivity
  •  Profitability
  •  Adaptability
  •  Readiness
  •  Agility
  •  Cost Reduction
  •  User Friendly

These innovations are very complex and tedious for the environment to accept. This is a process which automates the real time data and is able to process the same in the manufacturing field. Based on the types of manufacturing automation industries are of four types :

  • Primary
  • Secondary
  • Tertiary
  • Quaternary

New Revolution - Industry 5.0
New Revolution – Industry 5.0

Main 5th IR Revolutions are as follows :

  • Machine Learning
  • Mobile Technologies
  • Social Networking

What is Industry 4.0 ?

It is a trending automation and data exchange technology like cyber systems, IoT, cloud computing etc. It is also known as IIoT / Smart manufacturer performing smart functions of production and operations digitally by using machine learning, artificial intelligence and big data so that companies can focus on supply chain management. A project named High tech strategy of German originated “Industrie 4.0” which was later on changed to I4.0 or simply I4 in 2011.

Main Industrial Revolutions are as follows :

  • Coal
  • Gas
  • Electronics
  • Nuclear
  • Internet
  • Renewable Energy

At the moment we are in the fourth industrial revolution leading to industrialization and automation to generate smart goods with efficiency and efficacy. It connects the end-to-end process of production and execution to reach a new level of revolution by connecting and adapting changes.

4IR Technology is a combination of multiple technologies and a blend of interconnectivity between digital, physical and biological entities  :

  • AI
  • Robotics
  • IoT
  • Genetic Engineering
  • Quantum Computing

IR 4.0 has been implemented in the education sector and aimed at improving graduates driven capabilities in the digital industry. It is also helpful in making faster and smarter decisions to boost the profitability and efficiency

What is Industry 3.0 ?

In 1970, the third revolution came into existence by using electronics and IT automation protocols. Main areas of digital transformations are :

  • Participation
  • Data collection
  • Process Involved
  • Technology Used
  • Organizational procedure

Augmented Reality and Virtual Reality

AR is a science to demonstrate digital elements to live by using real world settings such as smartphone cameras while VR is a complete virtual demonstration of the immersion experience without the involvement of the physical world. AR enhances the virtual and real world whereas VR enhances fictional reality. VR is immersive in nature and is restricted to the specific user while AR offers more freedom to the user and will create an engaging market.

Mechanism of AR & VR :

VR immerse in fully computer simulated reality with a headphone or headset cutting down the real world. VR is not good for eyes as it is related to simulations of an imaginary world and can cause eye strain. VR is of three types based on simulations :

  • Non-Immersive
  • Semi-Immersive
  • Fully Immersive

Augmented Reality and Virtual Reality
Augmented Reality and Virtual Reality

Some Examples of VR Simulations : This concept is not only limited to the below examples as other leading big benches are also the leading players who can surprise anytime with the new invention in the field of immersion and usability like Apple, Google,  Lenovo, Samsung.

  • HTC Vive Pro Eye
  • Oculus Quest and Playstation

The final goal of VR is to build a human with spoken language, drawing pictures and writing letters etc. In the current scenario VR is on demand due to generations habitual of games with best innovative controls, well supported ecosystem. 

Elements of VR :

  • Comfort
  • Video Games
  • Education
  • Sensors
  • Interaction
  • Immersion

VR can lead to brain damage and can develop symptoms like depression, dizziness and collapse of vision, disorientation that occur due to VR experience. It also affects the pattern and quality of sleep.

Disadvantages of VR :

  • Lack of Flexibility
  • Quite Expensive
  • Functionality Issue
  • Addiction to Virtual World

Advantages of VR :

  • No risk
  • Realistic Scenarios
  • Simplifies Complex Problems
  • Innovative
  • Managed Remotely

AR provides a virtual experience of the real world. It revolves around images, text and sounds and got attention in 2016 with the game Pokemon Go. AR can be explored on android devices and through Google Play Store. Nearly 589 million devices are launched through AR technology in 2020. AR is tremendously used in medical training,  in MRI applications, in surgeries etc.

Some Examples of AR Simulations :

  • U.S. Army
  • Google Pixel’s Star Wars Stickers
  • Disney Coloring Book
  • L’Oréal Makeup App
  • Nintendo’s Pokémon Go App
  • Weather Channel Studio Effects
  • IKEA Mobile App

It has a growing market among mobile computing and business applications.  Similarly AR Zone app facilitates AR features like AR Emoji by creating animated versions and AR Doodle on android mobile. ARCore is a platform for AR experiences by using APIs. AR software is already installed in the smartphones with different versions.  

Some Smartphones that enabled ARCore :

  • moto g⁹ Play
  • Asus ROG Phone III
  • Nokia8.3 5G
  • LG K71
  • Infinix Mobile Zero 8
  • motorola one 5G
  • OnePlus Nord

Latest Artificial Intelligence Apps for iOS and Android

We are progressing gradually in the field of innovation and are creating valuable insights with each passing day. Technology is imparting a fruitful combination to humans all together in terms of information exchange, solving mankind problems, making tasks easier and promoting development. The modern innovation blend of the technology era is to make our lives beneficial and convenient. To feel secure in every phase of your life you need technology for both personal and business point of view.

Impact of Technology in Human Life :

Due to technology the pace of life is increasing with increased communication, travelling, action and interactions to speed up life. Benefits of technology can be improved by test grades, scores, creativity, problem solving skills, special needs, acquiring knowledge. Technology is expanding its arms in vivid areas with proven advantages and inventions. With advantages there lies disadvantages as well like crime and terrorism, social disconnect, privacy concerns. work overload, job insecurity and complexity.

Techniques implemented in AI :

  • Machine Learning
  • Automation and Robotics
  • NLP -(Natural Language Processing)
  • Machine Vision

Latest AI Applications
Latest AI Applications

Artificial intelligence is the process of simulation of human intelligence through machines. Machine vision, language processing, speech recognition and expert systems are few applications of AI. If we consider examples then social media is the biggest one as it provides the content to suggestions. The purpose of AI is to perform complex tasks like problem solving, decision making, understanding human communication and perception into the simpler one. There are four types of AI and it can be weak AI(facebook newsfeed), strong AI and artificial AI

  • Relative Machines
  • Limited Memory
  • Theory of MInd
  • Self Awareness

Scope of AI in future :

It has a tremendous impact on human life by exploring new technological innovations like big data, robotics and IoT. A supercomputer named Perlmutter for NERSC is the most powerful and giant AI machine in the world. Siri is the form of AI System that uses artificial intelligence. It also has a negative impact and can be used as a devastating system as well. It is nowadays be implemented in every sector like :

  • Retail
  • Security
  • Fashion
  • Shopping
  • Production
  • Sports Analytics
  • Manufacturing

In terms of the future it will help to analyse the patient data in the healthcare sector, in diagnosing brain tumors and finding the best possible solution to it. It will lead to revolution in the pharmaceutical area. It is a promising career with lots of opportunities in hand with justifiable salary and growth in future. Hanson Robotics is the most advanced robot till date. Ohn McCarthy is the father of Artificial Intelligence who devised a hydraulic orange squeezer. China is the only country across the globe that uses AI at a greater pace and is a leader by raising it from 4.26% to 27.68% in 2017.

Few top notch AI Softwares are :

  • Google Cloud Machine Learning
  • Content DNA Platform
  • H2O.AI.
  • IBM Watson
  • TensorFlow
  • Azure Machine Learning Studio
  • Cortana

The main algorithm applied in AI power systems are :

  • Fuzzy logic system
  • Simulated Optimization
  • Genetic Algorithm
  • Colony Optimization
  • Artificial Neural Network
  • Evolutionary Computing
  • Simulated Annealing
  • Particle Swarm Optimization

Facial Recognition by Implementing Artificial Neural Network Algorithm

It is a technology capable of comparing  a human face from a digital image and video frame against the collected database of different faces. It helps in authenticating personnel identification through ID verification services by measuring facial features with the provided image. A computer application is widely used in smartphones and robotics  nowadays. Biometrics is the best example of this type of facial recognition system but is not so accurate as compared to iris recognition and fingerprint recognition, Voice recognition, digitization of veins in the palm and behavioural measurements but is widely accepted because of the contactless process. This system is used in human computer interaction, law enforcement agencies, indexing of images, and video surveillance  

Background of the Technology :

If we dig deep down in history the discovery was started in the 1960s by Charles Bisson and he named his project “man-machine”. Later in 1970, Takeo Kanade invented a face matching system that locates anatomical features like chin and calculates the distance ratio. In 1993, Defense Advanced Research Project Agency (DARPA) and Army Research Laboratory (ARL) invented a program FERET to assist with intelligence security. The Department of Motor Vehicles (DMV) used the first automated facial recognition system for photo identification in driving licence.

Facial Recognition By AI
Facial Recognition By AI

Methods used for face recognitions :

It is such a challenging task to identify a human face with the help of 3D and 2D images. Some algorithms are used to detect facial marks or features like relative position, shape, size of nose, eyes, cheeks and jaws.

  • Traditional Algorithm approach
  • Human Identification at a distance
  • 3D Recognition
  • Thermal Cameras

Facial marks are used for facial recognition systems with some implementations in convolutional neural network architecture (CNN) systems with more accuracy.  They are combined with FaceNet facial recognition system in order to seek better performance. There are few common approaches to capture, analyse and compare patterns based on a person’s facial details. Identification and authentication are the two common keywords for facial recognition.

Facial Emotion Recognition (FER)

It is used for mapping expressions to detect emotions such as joy, surprise, fear, anger, sadness with the help of image processing software.

  • Face Detection
  • Face Capture
  • Face Match

Facial Biometrics, 2D, 3D sensor captures the face and transforms into digital data by using an algorithm for comparing images with database images. These automated systems can be used to identify a person quickly even in a crowd within a dynamic environment. All the top notch software companies are regularly working on AI, image recognition and face recognition. Some of the big faces are :

  • Academia
  • Facebook
  • Google
  • Amazon
  • Microsoft
  • IBM
  • Megvii

Facial expression can be detected by artificial neural network algorithms. It generates a great revenue globally with an estimation of $3.2 billion. The most significant vendor for facial recognition include :

  • Aware
  • BioID
  • Certibio
  • Nuance
  • Idemia
  • Leidos
  • M2SYS
  • NEC
  • Fulcrum Biometrics
  • Thales
  • Phonexia
  • Smilepass
  • HYPR
  • Fujitsu

Telemedicine in Healthcare Sector

It is a medicine practice by implementing technology also known as telehealth or e-medicine which provide healthcare services, care, advice, exams, reminders, interventions, monitoring, remote admissions and consultations. It results in evaluating, treating and diagnosing a patient at a distant place. It offers an opportunity to the doctors or physicians to treat them anywhere by using computers and software. It is very useful in benefiting both healthcare personnel and patients.

Telemedicines are of three types :

  • Remote Monitoring
  • Store and Forward
  • Real Time Interactive Services

How does it Work :

To gain a better long term patient satisfaction and care management system we need telemedicine healthcare services to locate health information and communicate with healthcare professionals. If anyone needs health assistance through telemedicine they need to fix an appointment at the same cost as an in person visit. It is costlier to maintain and set up the service for smaller healthcare providers. By entering a few basic background details online with contact details you can get yourself registered for a session with a doctor.

Telemedicine in Healthcare
Telemedicine in Healthcare

Procedure to get yourself register :

  • Choose Your Plan
  • Fill the form
  • Questions for Patient
  • Involvement of staff
  • Need to know about coverage
  • Use of telemedicine
  • Should Know the regulations

To prevent Covid 19 spread, flu and other infectious diseases, telemedicine is the best way to keep the people safe. It can be applied to psychotherapy and teledermatology. It is a two way process of communication and can be done through video conferencing and phone consultations in real time from anywhere and anytime.

Services offered by Telemedicine :

  • Transmission of Image
  • Medical Report
  • Patient Consultation
  • Medical Education
  • e-Health Patient Monitoring
  • Health Wireless Applications
  • Video Conferencing

In order to get this service you need to be technically skilled with an insurance facility so that you can make an appointment and describe your symptoms to the doctor. In a recent survey, it is revealed that telemedicine is a good aspect in keeping the care. It is although not very impactful in physical examinations in crucial cases. 

Categories of Telemedicines :

  • Telementoring
  • Teleconsultation
  • Telemonitoring

Steps involved in Virtual Visit :

  • Click on the link in an email provided by the hospital patient portal
  • Install the video software that your doctor uses
  • Allow access for audio and video

CPT and HCPCS codes are applicable to billed this service for patient virtual consent check in. 95 modifier is a synchronous telemedicine service that works on real time interactive audio and video telecommunication systems.

ML Prediction of Breast Cancer Survival

Cancer is a process of abnormal cell growth which loses contact inhibition and cease proliferation and growth of normal cells when contacting each other. The old cells of the body grow out of control and do not die resulting in abnormal growth of cells forming a mass of tissue called Tumor while leukemia do not form tumors. Lung and prostate cancer is the deadliest cancer with the highest death rates. Pancreatic cancer is a silent killer.

Major Types of Cancer :

  • Leukemia
  • Sarcoma
  • Carcinoma
  • Melanoma
  • Lymphoma

Cancer are of various types depending upon the tissues and the organs they are infecting. Breast cancer is commonly seen in women and the symptoms are lumps, thickening and swelling of part of breast, redness or flaky skin, bloody discharge from nipple and irregular shape of breast. It can be treated by radiation, chemotherapy, hormone therapy and surgery based on the stage of cancer. 

Machine Learning Algorithm in Cancer Prediction
Machine Learning Algorithm in Cancer Prediction

Symptoms of cancer :

  • Hoarseness or Nagging cough
  • Change in Bowel 
  • Persistent lumps or swollen glands
  • Blood in Urine
  • Indigestion or difficulty in swallowing
  • Unexpected vaginal bleeding or discharge
  • Blood in stool 
  • Underweight loss, fever, night sweats
  • Continued itching in genital area

How does it occurs :

When normal breast cells begin to grow abnormally than healthy cells do, forming a lump or mass can easily spread to other parts of the body through lymph nodes. Through the ACS report the lumps can be easily seen. The division process may involve 28th to 30th cell division cycles to get detected. In malignant cancer the use of logistic regression machine learning technique has been implemented to detect the tumorous cells.

ML can be used to predict breast cancer in clinical practices with low to high accuracy. ML suggests an alternative prediction modelling approach to address the current situations and to improve the limitations. In order to predict the tumor cells deep learning techniques have been used with various activation functions like :

  • Tanh
  • Maxout
  • Exprectifier
  • Rectifier

SVM technique is suitable to identify the type of cancer if it is malignant or beginning based on tumor cell size. It is a branch of data science that uses an algorithm to sequence statistical data in a programmed manner.

ML Methods for automatic diagnosis of cancer

  • Novel Methods for image classification / segmentation
  • ML based Models for detection / prediction
  • Cancer image analysis
  • Data generation for cancer diagnosis
  • Mobile applications for detection / prediction

AI can be used in cancer predicting processes by applying various fields like ML, Neural networks, Evolutionary Computation, Vision, Speech Processing, Expert Systems, Natural Language Processing, Robotics and Planning. We can detect breast cancer through screening tests like mammograms, like an X-ray to detect cancer up to two years.

Cancer Survival Rate in Breast Cancer :

The average survival rate with non metastatic Invasive breast cancer is 90% (5-year Survival rate)
The average survival rate with non metastatic Invasive breast cancer is 84% (10-year Survival rate)
The average survival rate with non metastatic breast cancer is 99% (5-year Survival rate)

Start Your Business Through E-Commerce Platform

Business and technology are complementary to each other in terms of growth. With Business comes growth and with technology comes E-commerce platform. It is the right time to start an Ecommerce business as a new wave in an online business platform. The very basic step is to select the marketplace and the business idea for your online business. Choose a brand new name for your business which is so unique in itself. By registering your business, build a website from scratch to the finish line with the help of customized platforms like :

  • Magento
  • WooCommerce
  • 3DCart
  • Prestashop
  • Shopify
  • Wix
  • Zepo 
  • Weebly
  • Big Cartel
  • Squarespace
  • BigCommerce
  • Volusion

What is an online Business platform?

It is a software application that provides access to manage website, operations, sales and marketing on online platforms. In order to show your presence online you need to be a part of Ecommerce platform by taking certain parameters such as ideas, action, target, marketing plan, research, strategy and teamwork. Shopify is one of the most popular ecommerce platforms for online business. It is an open source with customizable tools which helps in SEO.

Types of Ecommerce :

  • Business to Business
  • Business to Consumer
  • Consumer to Consumer

Online platform will serve you a platform to manage an online store and inventory through a software application that will accept and process payment. All you need is a website, applications with social networks that will help you to sell and to advertise.

Business Through E-Commerce Platform
Business Through E-Commerce Platform

Best Online Learning Platforms are :

  • Skillshare
  • Treehouse
  • LinkedIn Learning
  • Udemy
  • Shaw Academy
  • Coursera

If we talk about an easily manageable online platform, one name comes into picture is Wix, which is easier to create and allow freedom while shopify allows better sales tools, more scalable, flexible. The choice of an ecommerce platform wholly depends upon your business idea, budget and goals. 

Which country has the biggest ecommerce market ?

China has captured the world’s biggest ecommerce market and is one of the fastest growing ecommerce marketer by leading subsidiaries named as Alibaba.com, Taobao and Tmall etc. 

Some Examples of Digital Platforms :

The Internet is the key to connect multiple small networks in different fields. All the information and communication related to Online Platform is flowing through internet all over the globe

Service Oriented Platforms

  • GrubHub
  • Airbnb
  • Uber

Social Media Platform

  • Facebook,
  • Twitter
  • Instagram
  • LinkedIn

Knowledge Sharing Platform

  • Quora
  • Yahoo! Answers
  • StackOverflow

Media Sharing Platform

  • YouTube
  • Vimeo
  • Spotify

Some of you thought that to start an online business we would require money but it is not completely true. There are many internet free services which facilitate online business. We  would require some skills for an ecommerce platform like Excel Skills, Critical Thinking, Software, SEO, Data Analytics and AI, Technical and programming skills.

How are bioinformatics and IT Innovations related to each other?

Currently we are experiencing a rapid growth in the Bioinformatics field due to the involvement of multi disciplines as chemistry, informatics, statistics, biochemistry, mathematics, physics, and linguistics. Bioinformatics is the interpretation of the biological data through computer analysis which is used to collect, classify, store the biological information applied to molecular genetics. Bioinformatics is using IT applications to gather bio-medicine data and transform it into different forms. David Lipman, director of NCBI is known as the father of bioinformatics. Bioinformatics is growing gradually with a rapid pace in three directions :

  • Management of biological data
  • Analysis of biological data
  • Modelling of biological data

Whole genome sequencing data is to be analyzed through bioinformatics which includes software development, algorithms, pipeline analysis and database storage etc. It gives structural and functional analysis to facilitate biological processes like :

  • Phylogeny
  • Drug Designing
  • Vaccines
  • Identification of organisms
  • Automatic Genome Sequencing
  • Gene identification
  • Gene function
  • Analysis of protein structure

IT Applications in Bioinformatics
IT Applications in Bioinformatics

Bioinformatics is an application that uses computer science to solve the challenges in medicine and biology. It is helpful in the lock and key hypothesis where a drug molecule binds with a protein. You can prefer the USA, UK, Germany and France for their best bioinformatics applications. To be the Bioinformatician you need to acquire the following skills :

  • Programming Skills
  • Statistical Skills
  • Bioinformatics Skills
  • Knowledge of Molecular Biology
  • Fundamental Knowledge of Genomics and Genetics
  • Database Management
  • Data MIning
  • Machine Learning
  • General Skills

Relation between bioinformatics and programming languages:

If you want to be a successful Bioinformatician you need to explore Programming in R, Python, Linux, statistics and data science. Python is frequently used as a high level programming language in Bioinformatics

  • Perl
  • JavaScript
  • Python
  • SQL
  • Ruby
  • PHP

Software tools involved in Bioinformatics :

In order to discover novel genes we use certain bioinformatics tools for the collection and annotation of genomic data for sequencing. Here are a few software tools used in the sequencing process. The sequencing is done based on the background of metagenomic assembly, phylogenetic analysis and metagene prediction. There are various tools involved for this purpose like BLAST, FASTA and Ensembl

  • NetSurfP – Prediction of protein surface and secondary structures
  • NetTurnP – Predict B-turn regions in protein Sequence
  • MODELLER – Used for modelling 3-D structure of protein in comparative and homology studies
  • AutoDock – Used as automated docking tools
  • Gromacs – Designed for protein and lipids
  • OrfPredictor – Used to predict cDNA sequences and ORF prediction

Popular Linux OS distributions

  • Ubuntu
  • Gentoo Linux
  • Fedora
  • BioLinux

With the help of computerized software in bioinformatics we are all set to design computational algorithms which help us to update and retrieve components data stored in biological database systems. For accelerating research in the area of biotechnology there are a number of applications available nowadays.

Importance of IT Technology in various Disciplines

Technology is an application of scientific knowledge and innovations that results in processing aims and objectives in human life. To be a part of the bigger picture first thing comes in is its importance in the current context. Recent innovations in the IT field have transformed many sectors of our society and play an important role in connecting peoples, business partners and employees by various means like social media or through smart gadgets or applications. There is a drastic change in the mode of communication, in exchange of information, in exploring business and involvement of government agencies.

Use of IT Applications in Various fields :

  • Education
  • Healthcare
  • Finance
  • Business
  • Security
  • Employment
  • Communication

The recent technological innovations are catering a way to emerge in terms of economy and competitiveness which give easy access to improve local and global economy. In the current pandemic, IT Technology has proven advantageous in terms of education. Now students can fetch the details and submit the assignments to the professors without any physical interactions. Professional skills, change and innovation, strengthening decision making skills and cognitive skills are the effective roles in the developmental process. We can easily improve the standards of technological development by receiving feedback in real time.

IT in different disciplines
IT in different disciplines

Various disciplines involving IT Sectors:

  • Software Development
  • Web Designing
  • Application Development
  • Cyber Security
  • Data Management
  • Network Administration

Information systems use hardware, software and business processes to create, collect, process and distribute data in order to ensure planning, management, operations and decision making. Every business depends on production and productivity by allowing faster communication, electronic storage and documentation.

Major components of IT Technology :

  • Human resources and procedures
  • Hardware
  • Software
  • Telecommunications
  • Databases and data warehouses

There are so many countries that depend upon technology for their economies and to explore positive cultural changes like South Korea, Germany, Singapore and Switzerland etc. With the use of Technology our lives have changed drastically with learning to leisure, wealth to health, from ministries to classrooms for the best results.

Advantages of Technology in human lives :

  • Ease Mobility
  • Saves Time
  • Easier access to data
  • Efficient Communication
  • Cost Efficacy
  • Improved learning Techniques
  • Applications in Multi Disciplines

Every organizations need to follow certain steps in an Information System in order to set components that will collect, process, store the information

Types of Information Systems :

  • Management Information System
  • Transaction Processing Systems
  • Executive Support Systems
  • Decision- Support Systems

With the help of IT Innovations we can access any data anywhere without any boundations which is fruitful in productivity. There is a boom in IT sector for IT professionals to work as computer Engineer, Business analyst, software and hardware developer etc

Roles and Responsibilities in the field of IT in 2021 :

  • Network Administrator
  • System Administrator
  • Data Scientist
  • System Analysts
  • IT Manager
  • Database Administrator
  • Database Developer
  • Software Engineer, Tester and Architect
  • Network Engineer
  • Technical Consultant

In terms of career there are many possibilities in the IT sector as this relates to different disciplines as mentioned above with their role and scope in the modern era.