Last updated on January 5th, 2023 at 08:45 am
IoT devices are not like a basic set of smartphones and computers. IoT is a game-changer in the digital world because it can automate and streamline operations across multiple industry verticals.
By integrating artificial intelligence with IoT devices, developers are trying to figure out the actionable insights generated over the years through business models.
Intelligent assistants such as Alexa and Siri offer personalized experiences to users according to their voice and non-voice interactions. Internet of Things solutions is changing the space around us by making it more efficient, whereas artificial intelligence complements the human brain.
Like other devices, IoT devices also generate a massive volume of data, which helps provide actionable insights.
Before going on to discuss the role of AI in IoT, let’s explore what AIoT is.
What is the AIoT?
The combination of AI and IoT is called AIoT. To fully understand the meaning of AIoT, it is essential to start with the Internet of Things.
The Internet of Things uses when “things” such as digital assistants, sensors in refrigerators, and wearable devices are connected to the Internet to collect and process data.
Artificial intelligence is when a system can automatically complete a task without the involvement of any human being. So when artificial intelligence integrates with the Internet of Things, the devices can analyse data to make decisions without the participation of humans.
The intelligence offered by AIoT acts to optimize the system for generating higher profits and business insights to make better decisions so that the system can learn from them.
How Does AIoT Work?
Under the AIoT system, artificial intelligence focuses on considering infrastructure elements like chipsets and programs. All of these are connected using IoT networks.
Then, APIs ensure all software, hardware, and platform elements are competent for handling and interacting without struggle from the end user.
IoT devices develop and collect data, which AI then assesses to offer insights and enhance productivity and efficiency. AI increases senses by using procedures such as data learning.
AIoT data can deal with the edge. It means data is processed as close to such systems as possible to reduce the bandwidth. It helps to move data while eliminating potential delays to data assessment.
Why IoT Needs AI
AI shows the potential of IoT by letting devices and networks learn from past decisions, predict what will happen in the future, and improve their performance and ability to make decisions.
Let’s discuss why IoT needs AI in detail:
AI Smart Home Solutions
With automation, anyone can easily control the devices, lights, appliances, and in-house climate in real time. The Internet of Things provides robust security and alarm systems that are more energy efficient and designed with efficient power sources.
The Internet of Things has completely changed how humans live, as now they can control every electronic device in their house through their smartphones. With artificial intelligence setting its foot in the Internet of Things industry, a wide range of home solutions have emerged, including:
With the launch of Google Home, Apple HomePod, and Alexa in the market, humans can seamlessly connect with lightning and entertainment devices and make the most of them. A few tabs easily control the essential functions of the house.
Security and Safety
Integrating smartphones with security tools such as entry detectors, cameras, and motion sensors—called video power doorbells—offers the house robust security and safety. From anywhere, you can control any device linked to the Internet of Things using a mobile phone.
Innovative home solutions allow you to be ever-present at your home, even when you are not. AI-powered smart home solutions offer extra security and comfort at a reasonable cost.
When you can control all the electronic appliances, thermostats, lighting parameters, and air conditioning in your home, you can turn it into an energy-efficient environment that saves a lot on energy bills.
IoT device developers are spending more money and resources to integrate artificial intelligence development with IoT devices to create self-learning systems that can adapt and learn new changes without human intervention. Big brands and organizations in the market are investing money in it.
With the help of machine learning, this reality can arrive at any time because essential steps have already been considered. For example, the launch of automated chatbots is helping to improve relations with customers by quickly responding to requests and queries.
She is dealing with essential appointments, whether it is about taking food orders or booking reservations. Smart devices have already infiltrated every industry.
Companies use deep learning algorithms for data mining to drive sales and improve their conversion rates. They use Google Assistant, Alexa, and Siri, natural language processing, and speech recognition work.
It helps business organizations to generate actionable insights by decoding a particular language to make sense of it. It is connected with the interactions of humans and computers to drive sales and values.
Moreover, IoT services in the healthcare and logistics industries are also helping with the automation of their operations.
Amazon is ruling the eCommerce industry and managing logistics through devices where smart alarms use in hospitals and clinics for effective emergency response.
Public Transit and Smart Road Management
Smart highway and road prototypes will be available in the market very soon. The idea of creating smart roads and highways is related to streamlining street lights, vehicles, and traffic lights into a single effective channel to control and minimize road accidents by handling traffic effortlessly.
Concrete slabs protect the vehicle’s location and motion in real-time, using smart sensors integrated within the car. These concrete slabs will also analyse and collect data on Ford road conditions and congestion to guide self-driving vehicles toward saving roots and reaching destinations.
In many cities, smart buses are already on the road, equipped with advanced features such as global navigation satellite systems and wireless communication for improved and efficient coordination on the routes during the journey.
Passenger and driver behaviour assesses to improve services and fulfil user demands and expectations. Real-time live surveillance and video analytics ensure the driver’s and passengers’ security.
Moreover, the passengers can also avail themselves of smart services with the help of mobile apps to schedule their journey as per their convenience and preferences.
To make the system work effortlessly and efficiently, wireless communication networks use that offer ultra-fast services with minimal requirements. Soon a new infrastructure will be rolled out, capable of 5G, to handle large amounts of data sent through fiber optics easily.
Autonomous Vehicles and Fleet Management
To monitor and manage a fleet’s vehicles, track vehicle maintenance, reduce fuel costs, and analyse unsafe driver behaviour, artificial intelligence is integrating IoT devices such as GPS and other sensors for better fleet management.
Tesla’s autopilot system is another example of an intelligent device integrated with artificial intelligence that uses GPS, cameras, sonars, and radars to collect and analyse information about driving conditions.
The camera in a smart retail shop integrates with the computer system to recognize customers’ faces as they walk in through the door.
The system collects various customer information, such as product preference, traffic flow, and gender, for reading and analysing customer behaviour and offering more efficient and flexible services.
It helps to make informative and important decisions about store operations for marketing and product placement. For example, suppose most customers who walk into the store are millennials.
In that case, it can automatically send out advertisements for in-store specials based on demographics to increase sales. Smart cameras are used in the Amazon Go store to prevent shoppers from skipping the checkout stage.
Benefits of AIoT
Every day, IoT systems create about 1 billion gigabytes of data. The estimated global market for IoT-connected systems will reach 42 billion by 2025. The data effectively grows as the networks grow.
IoT is insufficient to satisfy shifting requirements and expectations. There is a possibility that growing data may bring about more obstacles than possibilities.
All of this data’s potential and insights are constrained by barriers. But, with the help of intelligent technologies, businesses may convert that and realize the full potential of their organizational data.
The Internet of Things system may continually improve its decision-making and execution skills by using artificial intelligence to forecast future practices, learn from past judgments, and make better decisions.
AI enables the systems to operate independently, analysing data and making precise conclusions without delays or jams brought on by data transmissions.
For businesses, AIoT offers several advantages and a potent answer to intelligent automation.
Increasing Effectiveness of Operations
AI is more effective than humans in detecting fundamental trends and managing the vast amount of data sent to IoT devices. This skill may be improved using artificial intelligence and the Internet of Things by calculating the operating circumstances and adjustments needed for better outcomes.
Malfunctions happen in several industries, including the offshore oil and gas industry. Unexpected failures might result in high downtime costs. To prevent this, AIoT can forecast equipment failure during preventative maintenance first before equipment encounters serious difficulties.
Risk management works well in the continually changing market environment. Artificial intelligence (AI) for the Internet of Things (IoT) may consider the data for calculating the risks and selecting the best course of action, improving employee safety, preventing cyber threats and reducing economic losses.
Facilitating the Development of New, Better Goods and Services
Growing advances in natural language processing enable more meaningful interactions between machines and people. AIoT may enhance new or existing goods and services by facilitating efficient data management and analytics.
Applications and Examples of AIoT
The Internet of Things and artificial intelligence are integrated into the IT industry. While both disciplines have individual values, their perspectives can be understood together.
Different apps across different sectors need AI and IoT. Though other AIoT apps emphasize the execution of cognitive computing in consumer appliances, here are some eye-catching examples of wider applications of IoT:
Drones are planes that are flown by software instead of human pilots. It can be significantly more efficient because they can navigate unfamiliar environments, including those beyond the reach of the Internet. It can be riskier for humans in mines, offshore operations, burning buildings, and war zones.
Did you ever want the assistance of a robot? It is actually about getting something from Cobots or collaborative robots. These Cobots are extremely challenging machines. It aims to help people in a communal workspace with corporate and industrial settings. They might be complicated robots to handle the frightening accusations or robot helpers for the work.
It makes it smart to shop. Because retailers use AI and IoT to comprehend customer behaviour by assessing the in-store inventory and customer online profile, they also send real-time customization offers when they visit the store.
It is defined as a “twin object,” wherein One is a physical thing, while the other is a computerized representation of it. These items come in various shapes, including wind generators and jet aircraft. It assesses the object’s performance without applying traditional testing techniques. It contributes to lowering testing costs.
Why shouldn’t whole cities benefit when everything is becoming smarter? A sensor node connected to existing municipal infrastructure helps construct smart cities. These detectors may evaluate the city’s many civic aspects, such as traffic, fuel efficiency, noise pollution, water consumption, and air quality.
Integrating artificial intelligence with IoT devices will offer great control over sensors and devices connected to the Internet. The IoT industry integrated with artificial intelligence is growing rapidly. Many reports have forecast that by the end of 2025, it will have an economic impact of around $11 trillion.
The basic idea behind integrating artificial intelligence with the Internet of Things is to automate operations beyond connectivity. Soon, offices, e-wallets with AI, healthcare, smart homes, driverless cars, and smart roads will become the new reality with a lasting impact.
Naveen Khanna is the CEO of Ebizneeds, a company renowned for its bespoke mobile app development and web development in eCommerce app development and AI App development. Delivering high-end modern solutions all over the globe, Naveen takes pleasure in sharing his experiences and views on the latest technological trends.