• Generative Artificial Intelligence (Gen AI), with the Artificial Internet of Things (AIoT) to operationalise Industrial and Enterprise Internet of Things (IoT).
  • The IoT Community believes that the integration of GenAI and AIoT can facilitate the collection of vast amounts of data through IoT devices.

The Internet of Things (IoT) Community comprising 49,000 IoT practitioner members, announces the launch of GenAIoT, relating to the intersection of generative AI and the Artificial Internet of Things (AIoT).

IoT Community Launches GenAIoT At the IoT Day Slam 2024 Conference

The new website, GenAIoT, aims to provide a platform for stakeholders in the field to collaborate, communicate, and share resources. This will be achieved by defining, then promoting, and developing best practices, standards, and guidelines for GenAIoT.

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Market Opportunities

The IoT Community recently attended the MWC 2024 event in Barcelona, where executives met with existing members and other senior officials to identify opportunities in this new domain.

The IoT Community came up with an overall market opportunity of US$4.5 trillion. This is done by combining GenAI ($1.3 trillion to $1.5 trillion), IoT ($1.4 trillion for traditional IoT and $600 billion for AI IoT), and applying GenAIoT vertically to manufacturing, supply chain, customer service, and other industries ($1.2 trillion).

The goals of GenAIoT

The primary goal is to facilitate the development and implementation of practical solutions to real-world problems using GenAIoT technology.

This includes raising awareness and educating industry professionals and the public about the benefits and risks associated with GenAIoT, as well as advocating for policies that support the development and advancement of the field.

The IoT Community believes that the integration of GenAI and AIoT can facilitate the collection of vast amounts of data through IoT devices. And using Gen AI and AIoT to analyse and interpret this data provides valuable insights that can be quickly communicated to other machines or users, leading to faster, more effective problem-solving.