Today, it is beyond doubt that two of the major trends dominating the technological industry are the Internet of Things (IoT) and Artificial Intelligence (AI).
The combination of these technologies has given rise to what is known as the Artificial Intelligence of Things or AIoT. In this union, IoT serves as the digital nervous system, while AI becomes the advanced brain that makes decisions to control the global system.
Together, they offer intelligent and interconnected systems capable of making autonomous decisions, evaluating the outcomes of those decisions, and improving over time.
How is AIoT Implemented?
On one hand, we can think of the brain as a centralized system that processes all the impulses and makes decisions. In this case, we refer to a cloud-based system that receives all telemetry in a centralized manner and acts upon it. This is known as Cloud AI (Artificial Intelligence in the Cloud).
On the other hand, we must also consider a crucial part of the nervous system: reflexes. Reflexes are autonomous decisions made by the nervous system without the need to send all the information to the central processor (the brain). These decisions are made at the periphery, close to the source where the data originated. This is known as Edge AI (Artificial Intelligence at the Edge).
To illustrate this with an example, let’s consider the case of Smart Grids. We have intelligent devices at the edge analyzing electricity flows at each node and making load-balancing decisions locally. Simultaneously, all this data is sent to the cloud for a more centralized global process.
Macroscopic analysis allows for load-balancing decisions, reducing or increasing electricity production, shutting down hydroelectric plants, or even initiating a process to purchase energy from another global network.
In addition to the many possibilities and benefits that AIoT offers to businesses and industries, we also experience everyday benefits from this perfect union we are discussing today.
SMART HOMES: AIoT improves automation and convenience, allowing us to control appliances, lights, thermostats, or security systems using virtual assistants.
HEALTH AND WELLNES APPLICATIONS: AIoT is used in health tracking devices such as smartwatches and fitness bracelets to collect data on physical activity, sleep quality, and heart rate. Through the analysis of this data, they provide information about health and wellness status and offer advice on how to improve it.
AUTONOMOUS VEHICLES: These vehicles utilize a combination of sensors, cameras, and machine learning algorithms to interpret their surroundings, make driving decisions, and navigate autonomously. AIoT in autonomous vehicles has the potential to enhance road safety and provide a more efficient driving experience.
PERSONALIZED RECOMMENDATIONS: Numerous e-commerce platforms and streaming services use AIoT to collect data on our preferences and buying behavior. Based on this data, they offer personalized product, movie, music, book recommendations, and other content that might interest us. This creates a much more personalized shopping or entertainment experience.
SMART CITIES: AIoT can improve citizens’ quality of life. Sensors and connected devices can be used to monitor traffic, optimize resource utilization, provide more efficient public services (e.g., waste management), and enhance urban safety. Through the analysis of all this data, AI will make smarter decisions and improve urban planning.
As you can see, the possibilities that lie ahead of us are endless. There is still much to discover regarding the full potential of this perfect union between IoT and AI.
If you want to learn more about the Internet of Things, Artificial Intelligence, or any topic related to software development, do not hesitate to contact us. We would be delighted to offer our expertise. Contact us