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What is AIoT?

This year, World IoT Day marks AIoT, a convergence that takes the IoT to the next level and makes it more resilient

 

This year, the theme of World IoT Day (9 April) is Internet of Intelligence (IoI). It is timely recognition of the growing AI/IoT convergence as Transforma Insights has forecast AIoT connections to rise from 1.4 billion at the end of 2023 to 9.1 billion in 2033.

The IoT and AI complement one another: IoT collects data, AI analyses it. To mark World IoT Day we’re focusing on AIoT. Read on for all you need to know.

  • AIoT is the integration of AI with the IoT

  • AIoT connections are predicted to grow six-fold 2023-2033
  • Wireless Logic believes AIoT starts with security but AI automation and analysis will help make the IoT more efficient, productive and resilient in many ways over time.

AIoT explained

AIoT describes the integration of AI with the IoT. It is a likely partnership as the IoT generates and captures data, often in large volume, which AI is very good at analysing, rapidly and at scale.

The IoT has reached into all industries - utilities, smart metering, logistics, agriculture, smart cities and more. IoT devices are often installed in remote or hard-to-reach locations and are expected to stay there with minimal intervention for years to come. Connecting such devices is only the starting point.

Enterprises know the importance of data and now expect more from their IoT. They want lower operating costs and deeper and faster insights that contribute directly to measurable business outcomes. They want IoT implementation and management to be hassle-free and for installations to be reliable and secure.

As the IoT does more of the heavy lifting in business, it must strengthen security and therefore resilience and enable automation to increase efficiency and productivity. AI provides ways for it to do this.

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AIoT examples: security leads the way  

Security

Wireless Logic believes AI-enhanced IoT starts with security for more resilient solutions. Last year, the IEEE revealed 47% of technology respondents to its survey expect cybersecurity vulnerability identification and attack prevention to be a top use of AI applications in 2026.

AI already equips the IoT with vulnerability identification. Wireless Logic’s anomaly and threat detection (ATD) is AI-powered and currently protects 1 million+ IoT devices.

ATD detects anomalous behaviour, such as a suspicious IP, remote code execution, a device backdoor or an abnormal port connection, that could be the first sign of a cyberattack. It can pinpoint the attack type, for example distributed denial-of-service (DDoS), man-in-the-middle (MiTM) or a device takeover, by analysing the anomaly.

It acts in accordance with thresholds set by business rules, and these also determine what happens next. That could be automated direct action to, for example, isolate the threat. Or ATD could send the incident for review, which can be useful because a SIM can increase or cease communication for genuine reasons.

Analysis, monitoring and remediation

Security is a priority AIoT application, but the automation and analytical capabilities of AI can also help enterprises enhance their IoT with:

  • Real-time monitoring, predictive maintenance and fast fault resolution
  • Intelligent analysis
  • Real-time usage, performance and anomaly analysis
  • Proactive remediation and continuous profile tuning.

Enterprises need secure, intelligent, globally scalable solutions that deliver meaningful insights and measurable business outcomes. AIoT can help them achieve their operational and budgetary goals by reducing manual intervention, lowering operating costs, and improving network reliability and energy efficiency.

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The future of AIoT

AIoT’s influence is set to grow. Transforma Insights forecast suggests a more than six-fold increase in connections over 10 years.

IoT solutions are often complex, comprising as they do multiple elements—device, network, the cloud and enterprise processes. All of these elements, and the end-to-end solution that brings them together, must be efficient, productive and resilient.

Research indicates IoT connectivity must add value with over half (52%) of IoT adopters choosing a portfolio of value-added services as a non-technical/commercial reason for choosing a connectivity provider, placing this requirement second only to flexible setup.

AI will help add that value, putting its automation and analytical capabilities to work in an increasing number of ways to enhance the IoT.

AIoT: How Wireless Logic can help

Wireless Logic’s ATD is already AI-powered. Find out more about it from our webinar.

Our IoT infrastructure is AI-ready, and we continue to plan further AI integrations. Why not get in touch to discuss your IoT needs?

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