Category: Technology

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)

Building Dynamic Digital Analytics Capabilities for marketplace

In this modern erena all the digitally connected services provider firms are interacting with their customers with multiple platforms leading to a condition which manages data with the help of analytics methods – big data analytics. These methods are used to explore customers’ experiences in various dimensions in the digital marketplace. We are here to explore capabilities of service analytics with the aim and study to understand the nature of dynamic service analytics capabilities(DSAC). 

DSAC is a framework which includes talent, technology, management, model development, data governance and service innovation capability. In order to start a new service the first thing is to find out the need of it and already available services adhere to it. Marketing system is equally important in the economic growth of a country and thus enhances the quality of life. Integrating big data analytics into the decision making process is a big challenge. 

BIG DATA ANALYTICS
BIG DATA ANALYTICS

Business and Economics are interdependent on each other in the following ways :

  • Thematic Analysis
  • Global Economy
  • Service System
  • Big Data
  • Model Development
  • Research Agenda
  • Literature Review
  • Explosion
  • Innovation Capability
  • Customer Experience
  • Service Innovation
  • Service oriented
  • Service Firms
  • Progression
  • In Depth Interviews
  • Governance
  • Management of Technology

Role of big data analytics capabilities and decision making :

It is a revolutionary approach that will lead to noticeable changes in the current economy. Most of the firm’s drive relationships between data driven insights and business intelligence to analyze data through equation modelling. With this innovative approach and concept we create an e-procurement system which enhances environmental sustainability in supply chain and procurement. Customer experience and latest development in big data analytics have emerged as a source of competitive differentiation. Based on Customer experience management and customer experience insights development of a strategic framework resulting in big data analytics. 

By using multi criteria decision making methodology we can check the firm performance through the data collected from selected case studies. There are three multi criteria decision making tools based on data set obtained :

  • Intuitionistic Fuzzy Decision Making (IF-DEMATEL)
  • Analytic network process (ANP)
  • Simple Additive Weighting (SAW)

Over the past two decades, there has been a revolution in consumer marketing and industrial marketing as they gain insights to gain knowledge of digital marketing. From this revolution we are able to structure ourselves in four themes and merge them with managerial practice to establish future marketing capability on an industrial platform. We are able to differentiate between the two gaps originated :

  • Practice Gap
  • Knowledge Gap

Themes to be considered :

  • Social Media
  • Digital Relationships
  • Channels
  • Digital Technologies

Exploring Big Data Analytics on Business Model Innovation :

Organizations are adopting the power of big data analytics by using IT landscape and qualitative case studies. Every industry has millions of data to create a competitive advantage. It contributes a distinct set of barriers to data-driven business model innovation by showing how data-related, technology-related, and regulatory hurdles are the most challenging.

Learn to Encode Data through radio waves

Electromagnetic radiation with a wavelength longer than infrared radiations with a frequency of 30 GHz to 300Ghz. They are used for communication, satellite transmission and broadcasting purposes through air as a mode of transmission. They do not impose any harm on the human body. IT is generated by a transmitter with the help of an antenna and detected by a receiver. It can be absorbed by aluminium, copper and result in interference of transmission. Radio frequency radiation can cause tissue damage and body burn.

Encoding of data through radio waves :

It uses binary data zero and ones to encode and transmit data. In order to transmit sound or data radio waves can be modified. It can easily escape through bricks, concrete, wood etc and cannot escape through water and metals. TV, WiFi work on the same principle of signal transmission. Radio waves use around 4 x 10-10 eV. 

Radio Waves for Communication
Radio Waves for Communication

Types of radio waves used in communication :

  • Infrared
  • Microwaves
  • Gamma-rays
  • X-rays
  • UV rays

Radio waves are used in mobile communication, modern technology navigation systems, wireless computer networks, satellite communications and in other applications as well. Radars are used to locate ships, aircrafts, missiles and spacecrafts. In navigation it uses GPS/VOR, in wireless it uses drones, keyless entry systems and garage door openers. It also has applications in microwave, ovens, diathermy and MRI machines which do not involve radio signals.

Uses of radio waves :

  • Remote controlled toys
  • Air traffic control
  • Cellular telephony
  • Navigation
  • Television

Enabling Radio Frequencies through IoT Wireless Technology

IoT wireless technology plays an important role in connecting software systems with humans. IoT requires radio frequency to broadcast transmitting signals or data. Radio frequencies are operated on multiple types of bands : Licensed bands (Cellular, TV), Unlicensed (WiFi, Bluetooth) and Forbidden bands( Governmental and public organizations). 

  • Low range IoT radio solutions are cellular networks, Low power wide area networks, Long range, Sigfox and Ingenu and satellite
  • Medium range of IoT radio solutions  are Zigbee, Thread, Zwave and WiFi
  • Short range IoT radio solutions are Bluetooth, radio frequency identification

Applications of Radio waves :

  • Audio Radio broadcasting
  • Video Television Broadcasting
  • Broadcasting
  • Two way voice communication
  • Data communication
  • One way communication
  • Radar
  • Radio location
  • Space communication
  • Remote control
  • Scientific research
  • Jamming

Radio Technology is widely used for public safety communications, 5G NR network, JTRS Software Communications Architecture, TV white spaces for low power wide area networks, IoT technologies in unlicensed spectrum, Receiver and digital radio architecture and Aircraft Avionics.

Promote Your Brand by Online Digital Marketing

It is a marketing component which uses internet and digital appliances like computers, mobile phones and other services to promote. Digital marketing is a process of product promotion using electronics gadgets.  It uses multiple technologies and channels that impart an access to an organization to analyze content, strategy and campaigns. It is a process to connect with customers through digital media. SEO is a marketing tool that will contribute in order to attain a highest possible ranking of a web page or website. Content, user engagement and inbound links are the prerequisites for digital marketing.

Parts of digital Marketing :

  • SMM
  • SEM
  • SEO
  • Content Marketing
  • Marketing Automation
  • Email Marketing
  • Digital Advertising
Online Digital Marketing
Online Digital Marketing

Procedure to follow in Digital Marketing :

  • Online Presence is must
  • Latest trends should be known
  • Creativity use
  • Connect with peoples
  • Acquire Knowledge about Analytics
  • Count on Experience

Philip Kotler, an American professor is known as the father of digital marketing and has penned 60 marketing books so far. We do marketing of a person, business or service by exploring social media, SEO, PPC and email. It is the most demanding skill of today’s world.  There are three types of digital media – Owned Media, Paid Media and Earned Media. You can opt for Digital marketing as your career as the demand is quite high with the specialization in skills like SEO and SEM. Digital media is to help gather information from our friends and families in an easier and efficient way.

Examples of Digital Media :

  • Software
  • Digital Video
  • Websites
  • Digital Data
  • Digital Images
  • Web Pages
  • Databases
  • Video Games
  • Social Media
  • Digital Audio (MP3)
  • Electronic Books
  • Electronics Documents

Role of Digital Marketing :

It helps to grow your business by creating huge traffic, leads generation and sales people concerned with following people who are looking for your products and services. We can easily reach a cost effective targeted audience. Pradeep chopra, Harsh Agarwal, Sorav Jain and Jitendra Vaswani are top five digital marketers in India to be followed

Google Ads are the famous types of digital marketing that will help to grow small businesses or startups. It is organized in the PPC model and it simply means you need to pay for each page per click. Digital Marketing is a combination that will revolve around 5Ds :

  • Digital Platform
  • Digital Device
  • Digital Data
  • Digital Media
  • Digital Technology

If you want to be a digital marketer you need to invest your precious 9-12 hours on a daily basis. As it is a lucrative domain and there is an immense scope of growth especially in content writing and SEO by adapting latest changes accordingly.

Online Promotions of Brand :

  • Method of promoting brand by publishing forum, blogs, articles, news, spreading links and advertising among target audience.
  • Top ranking can be achieved by sharing and creating audios, videos and pictures
  • By putting promotional offers, branded text, multimedia content as per customers need

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.