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Internet of Things - (IoT)

IoT involves extending Internet connectivity beyond standard devices, such as desktops, laptops, smartphones and tablets, to any range of traditionally dumb or non-internet-enabled physical devices and everyday objects. Embedded with technology, these devices can communicate and interact over the Internet, and they can be remotely monitored and controlled. With the arrival of driverless vehicles, a branch of IoT, i.e. the Internet of Vehicle starts to gain more attention.


Smart city


A smart city is an urban area that uses different types of electronic data collection sensors to supply information which is used to manage assets and resources efficiently. This includes data collected from citizens, devices, and assets that is processed and analyzed to monitor and manage traffic and transportation systems, power plants, water supply networks, waste management, law enforcement, information systems, schools, libraries, hospitals, and other community services. The smart city concept integrates information and communication technology (ICT), and various physical devices connected to the network (the Internet of things or IoT) to optimize the efficiency of city operations and services and connect to citizens. Smart city technology allows city officials to interact directly with both community and city infrastructure and to monitor what is happening in the city and how the city is evolving.


IIoT


Machine Learning, when combined with IoT and Robotics, can do wonders. Robots which originally used to perform a specific task in an efficient manner like fixing a part to a car in the assembly line. These Robots, when further programmed through ML techniques like Natural Language Processing. (NLP) and combined with Internet of Things (IoT) - its usefulness multiplies by many folds allowing the robot to communicate with its workstation operator, take his instructions, inform him about production part non-quality and it can also send email or chat message to its maintenance department

Health and Disease Diagnostics


A special note on health diagnostics. AI is significantly helping medical professionals with drug design and patient diagnosis and to create customised treatment plans. For example, Deep learning techniques can read patient’s X-Rays, CT and MRO scans and the Laboratory text report to provide automatic diagnostic recommendations and decision augmentation tools which leads to the early prediction of diseases and disorders in patients enabling them to take corrective action more and more at preventive stage.

Personalised Advertising


Using the technique of face recognition, AI can identify a person, his shopping behaviour and his possible shopping preferences, this can help the retail store owners to quickly turn on their marketing strategy to show personalised products and services of his interest and offer those products on customised discounts as a customer acquisition strategy. Which. will increase the sale hits for the store owners. This personalised advertising is already a very proven method of scaling up revenues for entrepreneurs. Advertisers and e-commerce businesses are one of the biggest beneficiaries of AI and ML because of easy measurement of feedback which is required to train and update the ML algorithms.

Personalised Advertising


Using the technique of face recognition, AI can identify a person, his shopping behaviour and his possible shopping preferences, this can help the retail store owners to quickly turn on their marketing strategy to show personalised products and services of his interest and offer those products on customised discounts as a customer acquisition strategy. Which. will increase the sale hits for the store owners. This personalised advertising is already a very proven method of scaling up revenues for entrepreneurs. Advertisers and e-commerce businesses are one of the biggest beneficiaries of AI and ML because of easy measurement of feedback which is required to train and update the ML algorithms.

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