What is IoT (Internet of Things)? and How to Work with IoT?
The concept of connecting devices to the internet through the RFID tag is referred to as the Internet of Things (IoT). Connecting machines is there for a long time, in the late 1830’s we used electric telegraphs which were developed for communication. We have technologies like radio, wireless technologies, supervisory control, and data acquisition software. IoT is used because to reduce the wastage of resources which is very important in daily life. These IoT connected devices and machine are connected to each other at more number like smartwatches which are connected to RFID inventory tracking chips and communicate through networks or cloud-based platforms which are connected to the IoT.
Who is using IoT?
Internet of Things (IoT) is used by many industries to find out the customer needs and give a prompt response, improve machine and system quality within minutes with the smooth running of operations and find innovative ideas to operate in their digital transformation efforts.
Retail Business: The Data, analytics, and marketing processes across locations is collected by IoT. Retailers use the data which is available in IoT from the in-store and digital channels and analyze the data to understand the customer patterns and preferences. In their IoT strategies, they use IoT connected devices like RFID inventory chips, wi-fi systems, and smart shelves.
Health Care: Quick response is more important in health care, IoT will be of best help. Data capture with IoT in real-time is from the Internet of Medical Things (IoMT) like wearables and medically connected devices which will be monitoring the exercises, sleep and other healthy habits. The IoT data helps to do little diagnosis, some treatment plans can be suggested, the safety of the patient can be taken care of, and proper care can be provided on time.
Useful for Governance: IoT application is used in traffic congestion, city services, economic development, and public safety and security. Metros and cities are using IoT sensors to alert about the infrastructure of the city like water meters, street lights, and traffic signals.
Manufacturing Industry: Connecting all the functions of the Industrial Internet of Things (IIoT) process by IoT from supply chain to delivery with which you can have and overview of production, process and product data. The IoT sensors which are very helpful and are used in the factory machines or warehouse shelves with big data and predictive modeling to avoid defects and downtime. This is helpful in the performance of the equipment and increase the production.
Transportation and Logistics: Using of IoT with geofence-enabled location intelligence and AI for transportation and logistics will give reliability and efficiency. With this technology you can improve the quality of the service, downtime can be reduced and increase the customer satisfaction. You can enrich the safety and reduce the cost by managing, tracking, and monitoring connected vehicles.
Some of the places where IoT is used are mentioned above, there are lot of other places where IoT is used like Banking, Capital markets, Communications, Defense and security, and Consumer goods.
Working with IoT
For security convenience, and productive, we use IoT and connecting through IoT we send receive and react to the data. The combination of IoT and AI has come up with “Artificial Intelligence of Things and this is very useful nowadays. IoT market has increase a lot and digital transformation in the business is happening. Sensors are shrinking and communication has improved where wireless internet connectivity is used between the devices and machines to quickly respond and communicate.
IoT works with latest technologies like Data management and streaming analytics, Big data analytics, and Artificial intelligence. Analysis is performed on the Data management and streaming analytics on IoT data to add more value. The analysis which are made on the data are filtering, normalization, standardization, transformation, aggregation, correlation and temporal analysis.
The major contributor for Big Data is IoT and collection of the structured and unstructured data happens every day. Giving value to the big data in IoT requires Big Data Analysis and techniques used are predictive analytics, text mining, cloud computing, data mining, data lakes and Hadoop. Combination of these techniques is used by the organization for making the data valuable and useful which we get from IoT.
Using AI with IoT adds lot of value to the IoT data which is collected from the smart devices. Some of important techniques used by AI are machine learning, deep learning, and natural language processing and computer vision.
Nowadays digital transformation is happening at rapid speed and IoT is helping a lot with all the required techniques and functions IoT gives value to every thing and saves lot of energy and resources which are very useful to mankind.