The Best Way to Use Artificial Intelligence in Internet of Things
There are two powerful technologies known as The Internet of Things and Artificial Intelligence. These are both beneficial in making the world advance. IoT deals with internet interacting devices such as smart TVs and AI making them smart with their data and experiences. The purpose of this is to make the world smarter.
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When AI meet with IoT:
The world is changing with the adaptation of the Internet of Things. IoT is a technology helping the world by capturing a large amount of data from multiple sources. It’s a complex thing to collect a large amount of data from infinite devices, process it, and analyze them.
IoT devices require an investment in new technologies to make it smoother. The convergence of the Internet of Things and Artificial Intelligence is enabling the great innovation of different devices which helps in our daily routine. The relationship between AI and IoT is making the industries, businesses, and economies smarter than smarter.
When Artificial Intelligence gets combined with the Internet of Things it forms AIoT- Artificial Intelligence of Things. We can say that The Internet of Things of devices is the digital nervous system and Artificial Intelligence is the brain of that system. IoT deals with the devices which can interact with the internet and AI making these devices learn from their data and experiences.
The maximum AI the minimum risk:
It is commonly said that the more AI the less the risk is because AI helps devices to work more efficiently and we can control them. They have such built-in features on which they know what to now AI enables their senses from where they can work like a human but not everything like humans.
The popularity of IoT and AI:
IoT and AI have already become the part of products and processes of many businesses. According to a Survey by the SADA System state is that the IoT and AI are the most useful and popular technologies nowadays. It’s an amazing thing that companies are investing in IoT and AI technologies to increase efficiency and advantage.
About 1 billion GB of data is generated daily by these IoT devices which are commonly used for communication and exchanging your data over the internet. We can say that as the number of these IoT devices grows, the magnitude of data will grow.
IoT converging with these technologies to make things advanced:
- Artificial Intelligence:
Allow devices to make decisions.
- 5G Network:
The Fifth Generation Network with high speed and negligible lag for real-time for data processing
- A large amount of Data:
A large amount of data from countless sources
The technologies making these devices interact with us from home or workplace form “Artificial Intelligence of things” AIoT.
The function of AI in IoT:
Into many IoT devices/machinery sensors are connected in such a way that they can offer a stream of data through the internet. There are five steps known as Create, Communicate, Aggregate, Analyze and Act which are being followed by IoT-related services. It’s an ordinary thing that the value of Act depends upon the analysis so that the value of IoT is determined at this step. AI technology plays an important role in this.
IoT provides data of the device, where AI provides power to take responsibility by itself. AI offers the productivity and context to do smart actions. Businesses can make decisions as the data is being delivered from the sensor which can be analyzed by Al. By the Artificial Intelligence IoT succeeded in achieving the following agile solutions.
- From data, it is much easier to manage, analyze and drive meaningful insight.
- To ensure accurate and fast analysis.
- To Balance requirements for localized and centralized intelligence.
- To ensure security against cyber threats.
- To Balance personalization with confidentiality and data privacy.
Benefits of AI-enabled IoT:
There is a wide range of benefits in AI and IoT for the companies and as well as consumers as they combined with each other for more advancement. Here we are going to discuss the most popular benefits of these two technologies to the business.
Efficiency:
AI in IoT offers more efficiency than a simple operating machine. When AI gets involved in the IoT so it causes the parameters to be modified to ensure the ideal outcomes. Artificial Intelligence makes the product work finely without causing any disturbance in their work and time.
For example
To reduce data center cooling costs Google brings the power of Artificial Intelligence into the Internet of Things.
Product and Services:
IoT and AI work together to enhance their product and services for better processing and analyzing the data for businesses. From AI with IoT, People can communicate with their devices.
For example
Rolls Royce Company is the one which is able to achieve the maintenance airplane engine. This will help to discover operational insight.
Risk Management:
AI with IoT helps businesses to understand their risk and predict a wide range of risks. AI allows them to maintain financial losses, cyber threats, and as well as security for employees.
For example
Fujitsu Company allows more security for the workers by gaining AI for analyzing data from many connected devices.
Increase IoT scalability:
The ranging of IoT devices is from mobile devices and high-end computers to Low-end sensors. The commonly used IoT ecosystem devices are those which offer low-end with a large amount of data. Before transferring data from one device to another AI engaged IoT devices to analyze and summarize data which causes the reduction of a large amount of data to a handy level and allows interacting numerous IoT devices this is known as scalability.
Eliminates Costly Unplanned Downtime:
In some situation AI allows you to maintain problems such as in the oil and gas manufacture industries, the failure of some equipment cause heavy loss. Due to AI, you can figure out the problem and maintenance of that equipment in advance order so, you can avoid the side effect of downtime.
For example
Deloitte Company reduces 20%-50% of the time invested in maintenance planning, increasing 10%-20% in equipment availability and uptime & reducing 5%-10% in maintenance cost.
Practical Example of AIoT:
There a lot of practical examples nowadays this is making our work much easier.
Robot in Manufacturing Industries:
Many manufacturing industries are using new technologies like IoT, artificial intelligence, robot, and many more. Robots are working as an employer in the industries which are working smarter with the collaboration of sensors in them. As the robots are getting merged with the Artificial Intelligence algorithms so that they can learn from newer data. This approach is saving time as well as cost and making the manufacturing process better.
Self-driving cars:
The collaboration of AI in the cars results in making self-driving cars. The cars are programmed in such manners so that they can predict the behavior of pedestrians and cars in various circumstances they can also determine the road, speed, and weather in different circumstances. The best example of AI and IoT working together is Tesla’s self-driving cars.
Wearable:
The wearable devices such as smart-watches track user habits. It not only measures your health but also well for sports and fitness. According to research by leading tech research firm Gartner, it is estimated that by 2023 the wearable device market to see more than $87 billion.
Smart house:
Smart houses are programmed so that they can respond to your every request which is done by the collaboration of AI. Smart houses are able to interact with the home appliances, lightings in accordance with your motion or your voice.
Robot vacuum cleaner:
Robots are also being used as a vacuum cleaner contains AI sensors so that they work on their own and clean our houses. There is no need to operate them they can predict environmental behavior and work according to the environment.
Smart Retails:
Smart retails, a camera and system equipped with the computer sensor to observe the customers’ movement and predict when they will reach the checkout line. By this system can suggest the dynamic staffing levels for the reduction of checkout time and keeps the cashier productivity.
Smart cities:
As the world population grows the problems of safety will also grow, for this AI used in drones as a traffic controller to predict the smooth flow of traffic.
Smart thermostat solution:
A smart thermostat allows us to control the temperature from anywhere through smartphones depending upon the work schedule and temperature preference of its user. Nest Smart Thermostat solution is the best example of AI engaged with IoT.