IOT

IoT World

Why is IoT so important?
In the past few years, IoT has become one of the most important technologies of the 21st century. Now that we can connect daily devices (kitchen appliances, cars, thermostats, baby monitors) to the Internet through embedded devices, seamless communication between people, processes and things is possible.

With low cost computing, cloud, big data, analytics and mobile technologies, physical things can share and collect data with minimal human intervention. In this hyperconnected world, digital systems can record, monitor, and adjust every interaction between connected things.

 

Which Technologies Made IoT Possible?
The idea of IoT has been around for a long time, but a collection of recent advances in a number of different technologies have made it practical.

  • Access to low-cost, low-power sensor technology : Affordable and reliable sensors enable IoT technology for more manufacturers.
  • Connection : A series of network protocols for the Internet made it easy to connect sensors to the cloud and other "things" for efficient data transfer.
  • Cloud computing platforms : Increased availability of cloud platforms gives both businesses and consumers access to the infrastructure they need to scale without having to manage them all.
  • Machine learning and analytics : With advances in machine learning and analytics, businesses can gather information faster and more easily, as well as access to a wide variety of data stored in the cloud. The emergence of these allied technologies continues to push the boundaries of IoT, and the data produced by IoT feed these technologies.
  • Artificial intelligence(AI) : Advances in neural networks brought natural language processing (NLP) to IoT devices (such as digital personal assistants Alexa, Cortana and Siri), making them attractive, affordable and feasible for home use.
 

What is Industrial IoT?
Industrial IoT (IIoT) refers to the application of IoT technology in industrial environments, especially with regard to the instrumentation and control of sensors and devices using cloud technologies. Recently, industries have been using machine-to-machine communication (M2M) to provide wireless automation and control. But, with the advent of cloud and related technologies (such as analytics and machine learning), industries can achieve a new layer of automation and create new revenue and business models with it. IIoT is sometimes called the fourth wave of the industrial revolution, or Industry 4.0.

The following are some common uses of IIoT:

  • Smart production
  • Preventive and predictive maintenance
  • Intelligent power networks
  • Smart Cities
  • Connected and smart logistics
  • Intelligent digital supply chains
 

What are IoT Applications?

Ready to Operate, SaaS IoT Applications
IoT applications are pre-service software (SaaS) applications that can provide captured IoT sensor data to business users through analysis and dashboards.

IoT applications use machine learning algorithms to analyze a large number of connected sensor data in the cloud. Using real-time IoT panels and alerts, you gain basic performance indicators, average time statistics between failures, and other information. Machine learning-based algorithms can detect equipment abnormalities and send alerts to users and even trigger automatic corrections or proactive countermeasures. With cloud-based IoT applications, business users can quickly improve existing processes for supply chains, customer service, human resources and financial services. There is no need to recreate all business processes.