Artificial Intelligence Internet of Things


“Industry 4.0”

AIoT – The role of Artificial Intelligence in the Internet of Things

Artificial intelligence (AI) and the Industrial Internet of Things (IIoT) are two of the hottest buzzwords dominating the “Industry 4.0” conversation.

But–when people discuss the benefits of IoT, they’re often referring to the benefits offered by the artificial intelligence of things (AIoT).

True “digital transformation” comes from that critical combination of AI’s intelligence and IoT’s ability to generate, capture, and store tons of data.

What is the Artificial Intelligence of Things?

AI-powered IoT applications, dubbed, AIoT or the Artificial Intelligence of Things, represent a broad range of applications that leverage both artificial intelligence and the internet of things (IoT).

Before we dig into what that all means, let’s quickly establish the role each plays, as it will help paint a clearer picture of the symbiotic relationship between the two technologies.

  • Internet of Things. The Internet of Things refers to a system that extends the internet to various objects, sensors, and devices (things) so that they can collect and share data from their environments using other devices or software programs. Essentially, IoT aims to connect machines and objects.

  • Artificial Intelligence. Artificial Intelligence, or AI, describes a system capable of learning from data or performing tasks typically associated with the intelligence found in humans and animals. AI technologies include machine learning (ML), natural language processing (NLP), voice & face recognition, and deep learning. Put simply, AI brings intelligence to machines and objects.

Together, the two technologies create intelligent, connected systems, where AI functions as “the brain” to IoT’s “body.” IoT devices collect and transmit data from multiple sources–supporting the “learning” process involved in training AI to carry out automations.

AI brings machine-learning and decision-making power to IoT systems, enhancing data management and analysis, and enabling massive productivity gains.