How artificial intelligence is changing the internet of things

The Internet of Things has seen steady adoption across the business world over the past decade. Companies are built or improved with IoT devices and their data capabilities, ushering in a new era of business and consumer technology. Now the next wave looms over us as advances in artificial intelligence and machine learning unleash the potential of Internet of Things devices that use “Artificial Intelligence of Things,” or AIoT.

Consumers, businesses, economies, and industries that embrace and invest in tree AI can harness its power and gain competitive advantages. The Internet of Things collects data, and artificial intelligence analyzes it to simulate intelligent behavior and support decision-making processes with minimal human intervention.

Why the Internet of Things needs AI

The Internet of Things allows devices to communicate with each other and act on those ideas. These devices are only as good as the data they provide. To be useful in decision making, data must be collected, stored, processed and analyzed.

This creates a challenge for organizations. as such Internet of things adoption is increasing, and companies are struggling to process data efficiently Use it to make realistic decisions and statistics.

This is due to two problems: the cloud and data transfer. The cloud cannot scale proportionally to handle all the data that comes from IoT devices, and the transfer of data from IoT devices to the cloud is limited in bandwidth. No matter the size and sophistication of the communications network, the sheer volume of data collected by IoT devices leads to latency and congestion.

Many IoT applications rely on quick, real-time decision making such as self-driving cars. To be efficient and secure, autonomous cars need to process data and make instant decisions (just like a human does). It cannot be restricted due to latency, unreliable connection and low bandwidth.

Self-driving cars are far from the only IoT applications that rely on such quick decision making. Manufacturing already includes IoT devices, and delays or latency may affect operations or limit capabilities in an emergency.

In the field of security, biometrics are often used to restrict or allow access to certain areas. Without fast data processing, there can be delays that affect speed and performance, not to mention risks in emergency situations. These applications require very low latency and high security. Hence the processing must be done on the edge. Transferring data to the cloud and back is simply not applicable.

AIoT Benefits

Every day, IoT devices generate about a billion gigabytes of data. By 2025, a Globally, the forecast for IoT connected devices is 42 billion. As networks grow, so does data.

As demands and expectations change, the Internet of Things is not enough. Data is growing, which creates more challenges than opportunities. Hurdles limit the insights and capabilities of all that data, but smart devices can change that and allow organizations to unleash the true potential of their organizational data.

Using artificial intelligence, IoT networks and devices can learn from past decisions, predict future activity, and continuously improve performance and decision-making capabilities. AI allows devices to “think for themselves,” interpret data and make decisions in real time without the delays and congestion that occurs from data transfers.

AIoT has a wide range of benefits for enterprises and offers a powerful solution for intelligent automation.

Avoid stopping

Some industries are hampered by downtime, such as the offshore oil and gas industry. Unexpected equipment failure can cost a fortune in downtime. To prevent this, AIoT can predict equipment failures in advance and schedule maintenance before equipment encounters serious problems.

Increase operational efficiency

AI processes huge amounts of data coming into IoT devices and detects basic patterns more efficiently than humans can. Artificial intelligence with machine learning This ability can be enhanced by predicting operating conditions and by making adjustments needed to improve results.

Enable new and improved products and services

Natural language processing is constantly improving, allowing devices and humans to communicate more effectively. AIoT can improve new or existing products and services by Allow better data processing and analytics.

improve risk management

Risk management is essential to adapt to the rapidly changing market landscape. AI combined with the Internet of Things can use data to predict risks and prioritize the optimal response, improve employee safety, mitigate cyber threats, and reduce financial losses.

Major Industrial Applications of AIoT

AIoT is already revolutionizing many industries, including manufacturing, automotive, and retail. Here are some of the common applications of AIoT in various industries.


Manufacturers are taking advantage of the Internet of Things to monitor equipment. Taking it a step further, AIoT combines data insights from IoT devices with the capabilities of artificial intelligence to deliver predictive analysis. With AIoT, manufacturers can take a proactive role in warehouse inventory, maintenance, and production.

Robots in manufacturing can greatly improve operations. The robots are empowered with implanted sensors for data transmission and artificial intelligence, so they can continuously learn from data, save time and reduce costs in the manufacturing process.

Sales and marketing

Retail analytics takes data points from cameras and sensors to track customers’ movements and predict their behavior in a physical store, such as the time it takes to get to the checkout line. This can be used to suggest staffing levels, make cashiers more productive, and improve overall customer satisfaction.

Major retailers can use AIoT solutions to drive sales through customer insights. Data such as mobile-based user behavior and affinity detection provide valuable insights to deliver personalized marketing campaigns to customers as they shop, driving traffic to physical sites.

the cars

AIoT has many applications in the automotive industry, including maintenance and recall. AIoT can predict which parts are failing or damaged, and can integrate data from recalls, warranties and safety agencies to see which parts may need replacement and provide service checks to customers. The vehicles end up with a better reputation for reliability, and the plant earns customers’ trust and loyalty.

Self-driving vehicles are one of the most popular and exciting applications of artificial intelligence for trees. With artificial intelligence to enable intelligence to The Internet of thingsAutonomous vehicles can predict driver and pedestrian behavior in a variety of conditions to make driving safer and more efficient.

Health Care

One of the overriding goals of quality health care is to extend it to all societies. Regardless of the size and sophistication of healthcare systems, clinicians are subject to increased time and workload pressures and spend less time with patients. The challenge of providing high-quality health care versus administrative burdens is significant.

Healthcare facilities also produce vast amounts of data and record large amounts of patient information, including imaging and test results. This information is valuable and essential to the quality of patient care, but only if health care facilities can access it quickly to inform diagnosis and treatment decisions.

The Internet of Things combined with artificial intelligence has many benefits for these obstacles, including improving diagnostic accuracy, enabling telemedicine and remote patient care, and reducing the administrative burden of tracking patient health at the facility. And perhaps most importantly, AIoT can identify critical patients faster than humans by processing patient information, ensuring that patients are effectively triaged.

Prepare for the future with AIoT

Artificial intelligence and the Internet of Things are the perfect marriage of capabilities. AI enhances IoT by making smart decisions, IoT facilitates AI capability through data exchange. Ultimately, the two together will pave the way for a new era of solutions and experiences that are transforming business across many industries, creating entirely new opportunities.

Xavier Dupont He is the first manager of the production line in Lantronics, a global provider of turnkey solutions and engineering services for the Internet of Things (IoT). Xavier and Lantronix’s goal is to enable the Internet of Things and its customers to digitally transform by providing technology from sensing to data collection and visualization.

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