Why AI Can't Reach Its Full Potential Without LoRaWAN Technology

LoRaWAN and AI Could Unlock the Next Phase of IoT Growth
Nowadays, as AI gains importance in the sphere of technology, experts have expressed their opinion about the fact that the Internet of Things will also change in the direction of evolution. AI is perfect when it comes to handling and analysis of information, but it requires physical data provided by interconnected devices. The technology that currently attracts much attention is calledLoRaWAN.
LoRaWAN stands for long range low power wide area network. Industry professionals claim that LoRaWAN can become an answer for connecting millions of devices which provide information from households, factories, cities, farms and other places around the clock. In contrast with other technologies such as Wi-Fi, Bluetooth or cellular network, LoRaWAN is considered as a complementing tool.
Why LoRaWAN Is Becoming More Important
LoRaWAN was created in order to provide connection between the devices that run on batteries at large distances while using minimum power consumption. It makes the technology perfect for use when sensors should function during several years without any regular maintenance.
According to the LoRa Alliance, currently the number of devices that are connected via LoRaWAN is about 125 million per year with a growth rate of 25% per annum. The advocates of LoRaWAN claim that this technology is going to become not just a LPWAN technology but one of the main wireless connectivity solutions for the Internet of Things (IoT).
AI Depends on Reliable Sensor Data
For artificial intelligence to be able to make any sensible decision, it needs accurate and timely data. The connected sensors offer this by sensing the machines, tracking the assets, recording the environment, and gathering the operational data from physical locations.
The industry experts have mentioned the three major uses of AI along with LoRaWAN technology. These include the use of AI for processing the information at the edge of devices, enhancing the network management, and using applications like predictive maintenance, agriculture, smart buildings, logistics, and smart cities.
Challenges Still Need to Be Addressed
LoRaWAN, even though it is increasingly being used, does not provide a comprehensive solution to all IoT applications. Large-scale deployments still struggle with concerns related to interoperability, integration into existing networks, deployment difficulty, and scalability. In order to solve these problems, the LoRa Alliance developed a technology roadmap that aims at improving usability and deployment, and not the radio itself.
A Growing Role in the AI Era
With the development of AI in industries requiring data from the physical world, technology that can connect millions of low power sensors will become more and more useful. The capability of LoRaWAN in providing long range energy efficient connections makes it an essential element for IoT infrastructure in the future.
LoRaWAN will not replace wireless technology currently being used; rather, it will complement it in order to help organizations collect information required by AI to enhance their operations.
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