This year, World IoT Day (9th April) marks a global recognition of the growing convergence of IoT and AI. With Transforma Insights forecasting AIoT connections to rise from 1.4 billion at the end of 2023 to 9.1 billion at the end of 2033, the relationship between these technologies is set to accelerate in years to come.
The potential of AI within IoT is extensive, from strengthening security and enabling automation to enhancing efficiency, productivity and resilience. As AI continues to transform traditional processes across industries, this trajectory marks a fundamental shift to more intelligent, responsive systems.
Iain Davidson, Head of Product Marketing at Wireless Logic, offers the following insights on how AIoT has the potential to elevate the IoT:
“The IoT can be a fragmented and complex landscape of networks, devices, Cloud environments, and enterprise processes. Historically, the IoT has primarily played the role of connecting devices, and gathering and transmitting data. But now, as industry pressure mounts for enterprises to innovate and address customer concerns regarding LLM hallucinations, accuracy, and misinterpreted prompts, they must implement AI more effectively. Organisations now require explainable and globally scalable solutions that deliver transparency, safeguard product value and deliver measurable business outcomes, as these are essential for customers to trust autonomous AI solutions.
“With global data volumes reaching an estimated 181 zettabytes last year, and the IoT constantly transmitting vast amounts of information, AI is becoming essential for driving valuable analysis and insights. AI-ready infrastructure within the IoT can support the collection, transmission, processing and integration of data across systems, helping to uncover patterns, trends and other valuable insights from devices.
“Building on this, AI and machine learning can further support enterprises by analysing real-time usage, performance and anomaly data to inform, and potentially automate, the optimisation of connectivity policies. These capabilities help to predict issues, enable proactive remediation and continuously tune profiles across the device lifecycle.
“AI technologies can also be invaluable in elevating IoT security safeguards and minimising financial and reputational losses. Without continuous monitoring, breaches can cause significant damage if undetected. With this in mind, AI is particularly effective for anomaly and threat detection, identifying the first signs of cyberattacks, mitigating threats and flagging irregularities in real-time.
“World IoT Day reminds us how the growing convergence of AI and IoT is paving the way for a new era of connectivity that will enable enterprises to unlock the full value of their data,, streamline operations and build resilience.”
