Artificial intelligence of things(AIoT): What is AIoT: AIoT applications
- 2. 2 Introduction AIoT involves embedding AI technology into IoT components. This merge of AI and IoT is an great tool whether you apply it in edge or cloud computing. Its objective is to increase operational efficiency, improve human-machine interactions and upgrade data management and analytics. When used the right way, AI can transform IoT data into valuable information for improved decision-making, both on-site and remotely. Artificial intelligence executed at the edge offers an incredible computing approach to provide local data-informed decision-making.
- 3. Let's define AI and IOT
- 4. Internet of Things is the internetworking of physical devices like vehicles, buildings, electronic devices, sensors, actuators etc that are capable of communicating among themselves or with the external environment ( sensor to vehicles, vehicles to humans) that are equipped with devices capable of communicating over a network . Artificial Intelligence is a field of computer science in which a machine is equipped with the ability to mimic cognitive functions of a human (or any being that is capable of cognitive thinking) that can make decisions based on its past experiences or responding to an action that it was completely unaware until that time.
- 5. How AI helps IOT ...
- 6. ❖ BY INCREASING OPERATIONAL EFFICIENCY. AI crunches the constant stream of data and detects the pattern not deceptive on simple gauges. Machine learning, an AI technology can predict the operation conditions and determines the parameters required for ideal outcomes thus improving the efficiency. ❖ ENABLING NEW AND IMPROVED PRODUCTS AND SERVICES. Natural language processing(NLP) is getting better and better at letting people speak with machines, rather than requiring a human operator. AI controlled drones, robots can go where humans cannot.
- 7. 7 ❖ BETTER RISK MANAGEMENT Pairing AI with IoT helps businesses to understand as well as predict a broad range of risks and automate for the prompt response. Thereby, it allows them to better handle financial loss, employee safety, and cyber threats. ❖ INCREASE IN SCALABILITY IoT devices range from mobile devices and high-end computers to low-end sensors. However, the most common IoT ecosystem includes low-end sensors, which offers floods of data. AI-powered IoT ecosystem analyzes and summarizes the data from one device before transferring it to other devices. As such, it reduces large volumes of data to a handy level and allows connecting a large number of IoT devices. This is called scalability.
- 9. 9 Smart thermostats are thermostats that can be used with home automation and are responsible for controlling a home's heating and/or air conditioning.The smartphone integration can be used to check and control temperature from anywhere. Smart Thermostats
- 10. 10 Robots in manufacturing industries Manufacturing is one of the industries that already embraced new technologies like IoT, artificial intelligence, facial recognition, deep learning, robots and many more. Robots employed in factories are turning smarter with the support of implanted sensors, which facilitates data transmission.
- 11. 11 Smart Retail Retail analytics involves numerous data points from cameras and sensors to observe customers’ movement and to predict when they will reach the checkout line. Thereby, the system can suggest dynamic staffing levels to reduce the checkout time and increases the productivity of the cashiers.
- 12. Smart agriculture is a broad term that collects ag and food production practices powered by Internet of Things, big data and advanced analytics technology. Smart Agriculture Sensor-based systems for monitoring crops, soil, fields, livestock.Drones,smart vehicles for monitoring crops.
- 14. 14 ➢ AI and IoT are inseparable. The entire idea of artificial intelligence is to capture more actionable data from IoT devices. ➢ AI is more about making machines put in intelligent behavior. Whilst, the function of IoT is to make these machines connect. ➢ The future of industrial automation lies in the convergence of AI and IoT. Artificial Intelligence of Things will impact almost every industry verticle including automotive, aviation, finance, healthcare, manufacturing and supply chain.