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Technologies

The rise of AIoT

Published February 28, 2025
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The emergence of Artificial Intelligence of Things (AIoT) is setting the pace for the advancements in real-time data analysis and automation. While we’ve already seen the impact of the Industrial Internet of Things (IIoT) in transforming smart manufacturing, the next chapter brings a new level of intelligence.

AIoT takes IoT systems beyond mere data collection and alerts, embedding machine learning at every layer to enhance performance and enable proactive actions, predicting issues before they occur and allowing manufacturers to optimize production, save resources, and improve efficiency like never before.

Yet, AIoT is not confined to industrial settings alone. From logistics and healthcare to  consumer electronics, agriculture, and smart cities, its impact is felt across industries. For example, Walmart applies AIoT in theft detection through image recognition, while Tesla leverages real-time processing of sensor data making autonomous driving a reality. At London City Airport, AIoT integrates IoT and AI to monitor various systems and provide passengers with timely, accurate information.

 

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The possibilities in farming are particularly exciting, with AIoT poised to address global challenges in this area. Advances in AI and IoT enable predictive insights into crop yields, identification of optimal growing conditions, and improvements in livestock and fish health. By making agricultural practices more efficient and sustainable, AIoT contributes to healthier ecosystems and higher productivity. Moreover, by monitoring and predicting locust migration patterns, AIoT can help reduce crop losses and enhance food security, offering a valuable tool in the fight against hunger.

Though the AIoT market is still emerging, its rapid growth reflects the clear advantages of combining AI and IoT. As the demand for smarter systems increases, AIoT’s role will continue to expand, transforming various industries along the way. A key part of the discussion around AIoT is the role of edge and distributed computing. These technologies bring machine learning closer to the data source, reducing latency and improving scalability and efficiency
Sergey Ponomarenko
Head of IoT at WaveAccess

While some may question whether AIoT is just another buzzword, its potential is already sparking interest and driving change. Investments in R&D, strategic partnerships, and acquisitions are accelerating growth of the market. At the same time, challenges like data privacy, interoperability, and cybersecurity remain crucial considerations for stakeholders in deploying AIoT solutions effectively.

At WaveAccess, we aren’t just observing these innovations. We’re actively researching and guiding our clients through the complexities and exciting possibilities of new technologies, methodologies, and concepts.

Energy Management System for Mata Energy

The solution is aimed to facilitate sector-coupled energy supply, improving its efficiency. For the client we provided a consulting session, and developed an MVP.

From AIoT to Ambient Intelligence: A quiet leap forward

Ambient Intelligence (AmI) may sound futuristic, but it’s quietly becoming reality. By embedding AI and IoT into everyday spaces, environments can respond in real time to people’s needs. As Gartner puts it, the ambient experience pushes technology "from in-between to in the background". Take a deeper look at how this shift is happening.

Shipping digitalization: increasing efficiency and sustainability

For many years now, digitalization has been one of the most significant components of company development in various fields. The shipping industry is no exception. In this area, digital transformation is an important and big step towards improving the quality of transportation and the operation of sea and inland ports. Reliable IT solutions help cut material costs, ensure smooth operation and a high level of safety during operation of vessels, and reduce the negative impact on the environment.
We proudly announce that WaveAccess became a member of the MindSphere World Association. It is a global and independent user association that aims to promote the IoT to shape the future of the digital economy, and promotion of the Siemens MindSphere® platform.  
In the second part of his interview with CIO Applications, Ilya Feigin, CTO and founder of WaveAccess shared his vision on the actual role of customization in the product life cycle, and outlined what differentiates WaveAccess from its peers.
WaveAccess won the "Project of the Year" Award in the special category "Expert’s Choice" for the digital farming solution Episcope. The IoT and AI based analytical platform for enhancing farm performance was implemented for SKOV A/S.

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