SMART TECH AND IoT
Generative AI, Edge Computing and Data Fabric Architectures Are Shaping a New Era of Smart Technology and
Interconnected Systems Francesco Vaiani, software product manager, SECO
T
he Internet of Things (IoT) continues to evolve rapidly, reshaping the way industries operate and creating new automation. As we move deeper into 2025, the next phase of smart tech adoption. Generative AI has become a pervasive force across industries, particularly in industrial and manufacturing settings. It is increasingly being used to address workforce shortages and optimise operations by automating complex tasks such as quality inspection, predictive maintenance and real-time troubleshooting, and is increasingly products to foster more intuitive user experiences and proactive system behaviour, possibly enabling new revenue streams. However, integrating generative AI into IoT environments demands careful planning, especially to ensure robust cybersecurity and solutions integrate generative AI directly into the user interfaces of machine controllers and Human-Machine Interfaces (HMIs). A direct consequence of generative AI’s growing adoption is its integration at the leading this transformation by embedding AI accelerators and neural processing units (NPUs) into their chips. These components enable devices to make real-time decisions without relying heavily on cloud infrastructure, thereby reducing latency, improving responsiveness and ensuring continued operation even when connectivity is limited. This shift also addresses rising concerns around data privacy and the protection of intellectual property. Another critical development is the rise of Data Fabric architectures. As IoT deployments generate vast volumes of
30 APRIL 2025 | ELECTRONICS FOR ENGINEERS
heterogeneous data, organisations face the challenge of making this data usable across diverse environments. “Big Data” can turn into big storage costs if it is not service-based monetisation. Data Fabric and integrating data, enabling better governance and easier interoperability with third-party components. Modern IoT platforms are primarily expected to support seamless data consumption in AI/ ML pipelines, ultimately delivering actionable insights. Data Fabric architectures allow adding or changing algorithms as easily as performing a drop-in replacement; the platform will serve the correct data automatically.
successful IoT strategies. With devices becoming more intelligent and interconnected, attack surfaces are expanding. Older and low-cost devices are particularly at risk. For example, recently discovered undocumented HCI commands Controller can, when physical access to the device is available, be exploited for memory manipulation (reading/writing (device impersonation) and LMP/LLCP packet injection. Industry best practices now include zero-trust frameworks, hardware-based security modules and secure-by-design principles that address vulnerabilities from the earliest stages of development, including support for over-the-air (OTA) updates.
Businesses adopting IoT solutions and future-proof architectures to stay competitive in an increasingly complex track industry trends to deliver integrated hardware and software solutions that empower our clients to build scalable, AI/ ML-driven services designed to support subscription-based and usage-based business models, unlocking new recurring and scalable revenue streams.
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