AI and the Internet of things are unique technologies in themselves, but what’s more interesting about them is where they intersect. Researchers and industry experts said that because the applications of the Internet of things and artificial intelligence are very attractive, their combined use cases are more attractive.
When you think of the Internet of things, what do you think of? It could be a bunch of devices that can be understood by connecting. IOT allows us to connect independent devices together and make the most of them by allowing them to exchange data and interact. Imagine the power of the data collected through all these devices. In order to help realize this vision, artificial intelligence came into being.
AI has created a wide range of applications in various fields, including healthcare, finance and our daily life, such as personal assistants such as Alexa and Siri. The combination of artificial intelligence and the Internet of things brings new hope for the future, because these two technologies communicate and develop around a common indicator – data. With the help of AI, the data obtained from connected devices can be further utilized and more intelligent insights can be obtained from it.
Let’s learn more about how the Internet of things can use artificial intelligence to achieve better data collection and connection.
Using AI / ml to provide value for Internet of things
As we all know, artificial intelligence can use other technologies under its umbrella – machine learning or ml. Usually used interchangeably, the working principle of the terms AI and ml is to develop intelligent software programs. This intelligence enables them to analyze data and make the same decisions as the human brain.
Since the essence of Internet of things devices is to collect data and use it, we can expand these processes by placing data from physical devices through machine learning and artificial intelligence. Intelligent Internet of things (ioit) uses artificial intelligence to bring more value to IOT domain by better interpreting the data obtained from connected devices. How to do this:
The devices connected in the Internet of things provide logic input for human beings through sensors and actuators including software and hardware. The foundation of the Internet of things is machine learning and artificial intelligence, because it allows these devices to understand the data collected through them.
When a set of connected devices collect and combine raw data, software programs with machine intelligence enabled will acquire and analyze the data. After comprehensive analysis, the output contains valuable information.
Benefits of using Internet of things and artificial intelligence together
Intelligent Internet of things makes Internet of things applications give full play to its potential. AI and machine learning bring more detailed data insights to the desktop faster. Enterprises are looking forward to the following benefits from ioit:
If you have ever tried to analyze data from multiple sheets of paper on a computer, you must realize that this is a tedious task. The human brain is limited to performing certain tasks at a certain speed. When we are mentally tired, we are more likely to make mistakes.
The intelligent Internet of things has the ability to decompose large amounts of data from devices. The best part about this is that because the whole process is machine and software driven, it can be performed without any human intervention, which makes it error free and improves accuracy.
For example, ATM withdrawals, online payments and e-commerce transactions are prone to high risk of fraud activities. With the comprehensive power of human understanding, Internet of things machine learning and artificial intelligence RPA technology, potential fraud can be considered in advance to prevent any financial loss.
Forecast analysis and maintenance
Predictive analysis is a branch of analysis that looks at existing data and predicts possible future events based on the results. It is no exaggeration to say that the Internet of things and artificial intelligence are the basis of predictive maintenance. At present, enterprises are using IOT devices to automatically report any misfortunes or problems, such as device failures, without human intervention.
However, by adding artificial intelligence, this method will allow the machine to perform predictive analysis. This means that the enterprise will be able to find possible faults and failures in advance and carry out maintenance. For this reason, even if the condition is detected before the failure, the probability of loss is greatly reduced. This will greatly save big companies’ costs and help them avoid business setbacks.
For example, a shipping company can use predictive analysis to check and analyze its data in time to avoid sudden shutdown of the ship and maintain its ship continuously through regular maintenance.
Improve customer satisfaction
The core of every enterprise is customer satisfaction. Currently, companies like Amazon have won the badge of being the most customer-centric company by keeping customers ahead of all other priorities. However, due to language barriers, time constraints and other factors, human based customer experience sometimes fails.
The company realizes the power of artificial intelligence by making chat robots interact with customers. A large amount of customer data can be used to provide them with a more personalized experience according to their choices and solve their queries accordingly.
Improve operational efficiency
Forecasting through artificial intelligence is very useful in improving the efficiency of business operations. Comprehensive insights gained through AI can be used to improve overall business processes from scratch, thereby improving operational efficiency and reducing costs.
With accurate forecasting, you can gain insight into the time and cost consuming tasks in the business, and automate them to improve efficiency. In addition, for companies that use aircraft and ships for large-scale work, the insights obtained through artificial intelligence can help them modify the process, improve equipment settings, and update inventory in time to save unnecessary costs.
The era of Internet of things and artificial intelligence will change the existing process. With the interaction of automation and in-depth analysis, industries and enterprises will benefit from growth while reaping huge profits. The need for hours is to create better ways to use the Internet of things and artificial intelligence to create a better future.
Editor in charge: lq6