creditcontrol.co.uk
Wireless Logic comments on AIOT
With Transforma Insights forecasting that Artificial Intelligence of Things (AIoT) connections are set to rise to 9.1 billion by 2033, we talk to Iain Davidson, Head of Product Marketing at Wireless Logic about how AI is transforming traditional processes across industries, and why this has the potential to elevate the IoT.
“The Internet of Things (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 Large Language Model (LLM) hallucinations, accuracy and misinterpreted prompts, they must implement Artificial Intelligence (AI) more effectively. Organizations 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 in 2025, 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 minimizing 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.”
“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.”