Artificial Intelligence and Internet of Things

The development of technologies such as artificial intelligence (AI) and Internet of Things (IoT) has shown that the future is now. The number of connected devices has increased year by year and has generated a large amount of data. The addition of artificial intelligence can help companies extract meaningful insights from the vast amounts of data provided by the Internet of Things. But how can we get these insights? Is there a successful case of artificial intelligence applied to the Internet of Things? Let's look down.

The Internet of Things is here: Can you feel its impact?

The vast amount of information brought about by IoT devices, sensors and chips has improved people's quality of life to some extent. The Internet of Things applies “intelligence” to the home, helping the brand to leave a deep impact on customers, and is committed to improving the safety of industrial equipment while providing real-time updated patient health data.

However, the development of the Internet of Things is not always smooth. Although dozens of IT companies have announced that they have built an IoT platform and provided related consulting services, customers are still confused about the benefits of the Internet of Things and how they handle the generated data.

There is also a problem, the amount of data generated by IoT devices is too large, and the current method has insufficient processing power. It is still an urgent task to further understand the data and use them to achieve business goals. Humans can't process, view, and understand so much data, even computer software can't do it, but the use of artificial intelligence and machine learning technology makes it possible.

Internet of Things and artificial intelligence

The potential of big data is incredible, but how do you apply artificial intelligence to the Internet of Things? Deloitte said that in 2017, the number of M&A startups focused on artificial intelligence has risen sharply and is expected to set a new record.

Artificial intelligence can be used to manage multiple interrelated IoT elements. Crucially, its processing power and learning ability are critical to analyzing the vast amounts of data generated by IoT transport devices. Companies can achieve this by leveraging a subset of practices that are aggregated under artificial intelligence technology, machine learning.

Internet of Things and Machine Learning

If the Internet of Things is likened to the "supplier" of data, then machine learning can be called the "digger" of the data. In order for the data provided by the Internet of Things to perform the most, it needs to be improved. IoT sensors generate countless amounts of data, and the “digger” task is to identify the correlations between these data, extract meaningful insights from them, and store them for further research and analysis.

When using traditional methods for data analysis, the system needs to obtain past data, and experts will explain and report in the data processing process. Internet of Things and machine learning are more for forecasting. From the desired result, find an interaction between the input variables that meet the criteria. When a machine learning algorithm understands its ultimate goal, it "learns" IoT data. These processes are critical to achieving the desired results.

Another advantage of machine learning for IoT data is the ability to automatically improve the algorithm. As the amount of data increases, the accuracy of prediction of intelligent systems will gradually increase. In this way, companies can make more informed decisions without actually “thinking”. Intelligent systems can solve many problems, from machine safety or power reduction, to the supply of personalized goods and services.

Application example of artificial intelligence in the Internet of Things

Some of the following examples have successfully reduced costs, some have created a good user experience by applying artificial intelligence to the Internet of Things, and others have used the artificial intelligence to create new business models in the enterprise.

Industrial internet of things

The widespread use of the Internet of Things in the industry has brought a lot of data. Using artificial intelligence algorithms to process the collected data, the business owner can discover the potential risks in the project and prevent the other cases from being adjusted as appropriate. The system has gradually learned how to identify external and internal factors that have an impact on machine operation. The entire production process is simplified by optimizing resources and improving industrial safety.

Predictive maintenance is the biggest flash point for artificial intelligence in industrial IoT. Predictive maintenance and perspective maintenance mean that systems driven by machine learning algorithms can predict plant floor maintenance needs. Most importantly, artificial intelligence can help create IoT devices with self-healing and self-calibration capabilities, such as sensors, inductors, or transmitters. The biggest advantage of artificial intelligence for industrial IoT is reduced maintenance costs and reduced downtime.

medical insurance

The medical industry also generates a lot of data. Sensor devices for medical devices, healthcare mobile applications, gym trackers, and digital medical records have been generating and collecting user data for many years. Artificial intelligence combined with the Internet of Things enables disease prediction, advice on prevention, and drug management. Patients and hospitals benefit a lot from health care and disease prevention and control.

Smart home

At present, the "communication" of refrigerators and smart watches is just a less mature idea. Even so, there are still "smart" vacuum cleaners and smart home devices such as "smart" doorbells. According to IDC's latest data, by 2020, consumers will invest up to $63 billion in the smart home ecosystem.

The application of artificial intelligence means that the automation of smart homes will be even higher. Connecting many devices is to make people's lives easier. Most importantly, artificial intelligence can make home life more enjoyable. Artificial intelligence systems can “learn” your emotions and preferences while also analyzing your interactions with family members. With this knowledge, the entire system automatically adjusts the room temperature, changes the light level, plays your favorite music, and turns windows on or off depending on the weather. When the sensor signals that the soil is dry, the smart home system can also automatically water the plants. Of course, they can also open the room cleaning work at the time you set.

Conclusion

Internet of Things companies combined with artificial intelligence and machine learning technology is a huge leap. Although the application of artificial intelligence to the Internet of Things is still highly controversial, these subversive technology combinations have been successfully tested. By envisaging countermeasures in advance, companies can more easily achieve their goals. But as such, intelligent system analysis, prediction, and adaptive capabilities are also increasingly demanding.