The 2024 State of Edge AI Report is out, and we’re proud to be in it — for the second year in a row!
“Edge AI is a crucial technology in this world of finite resources. It allows us to monitor and optimize consumption in real time: so the use of electricity or water, for example, can be optimized not just for today, but for the future. Manufacturing, agriculture and logistics can minimize their impact, with huge potential for cost savings as well as lowering our carbon footprint,” explains Fabio Violante, CEO of Arduino.
Edge AI has witnessed a remarkable surge in recent years, driven among other factors by the urgent need for efficient resource management and sustainability. Indeed, this technology leverages real-time data analytics and predictive modeling to enable proactive decision-making in a wide variety of sectors.
The 2024 “State of Edge AI” Report, curated by Wevolver, contains a plethora of examples and insights relevant to applications ranging from healthcare to automotive.
For example, edge AI solutions facilitate precision farming practices by analyzing soil moisture levels, weather patterns, and crop health data to optimize irrigation and fertilization, thereby maximizing yields while minimizing environmental impact.
In logistics and transportation networks, deploying AI-powered edge devices in vehicles and infrastructure makes real-time monitoring of traffic conditions and route optimization feasible. This not only improves operational efficiency but also enhances safety by mitigating the risks of accidents and breakdowns. Edge AI also facilitates the development of smart cities by enabling intelligent management of utilities, transportation systems, and public services through seamless integration with IoT devices and sensors deployed across urban environments. This empowers municipalities to optimize resource allocation, reduce congestion, and enhance the overall quality of life for residents.
In addition to optimizing resource and energy use to reduce financial and environmental impacts, edge AI-powered systems can lead to significant cost savings by foreseeing equipment failures. Predictive maintenance was indeed the focus of our contribution to this year’s report, showcasing products like Opta, Nicla Sense ME and Portenta Machine Control and success stories (like AROL’s and Engapplic’s) that bring the benefits of edge AI into the realm of present, tangible opportunities for enterprises in any industry and at any stage of their development.
Curious to find out more? Just download the 108-page report for free at this link
“Simplicity is the key to success. In the tech world, a solution is only as successful as it is widely accepted, adopted and applied — and not everyone can be an expert. You don’t have to know how electricity works to turn on the lights, how an engine is built to drive a car, or how large language models were developed to write a ChatGPT prompt: that plays a huge part in the popularity of these tools,” Violante adds. “That’s why, at Arduino, we make it our mission to democratize technologies like edge AI — providing simple interfaces, off-the-shelf hardware, readily available software libraries, free tools, shared knowledge, and everything else we can think of. We believe edge AI today can become an accessible, even easy-to-use option, and that more and more people across all industries, in companies of all sizes, will be able to leverage this innovation to solve problems, create value, and grow.”
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