Integration Enables Efficiency and Problem-solving in Existing Processes and Revenue Generation from Emerging Opportunities
GenAI refers to algorithms and machine learning models used to create content, including text, audio, images, video, and code.
To be a component of the IoT, the analyst considers any product, application, or service must be part of a larger solution that comprises these 4 elements:
- Objects virtualized and imbued with data measurement capabilities
- The ability to grant identities to physical and virtual objects
- Interconnections between these objects for monitoring and interaction
- The ability to generate real-time insights from data and incorporate them into existing business processes
With increasing connected devices comes exponential growth in data volume, which requires novel means of analysis to achieve goals. GenAI technologies are becoming indispensable in unlocking the complete potential of IoT. Augmenting IoT with rapidly advancing GenAI technologies is crucial to delivering GenAIoT-enabled industry solutions.
GenAI and the IoT are revolutionizing the way we interact with the world around us. GenAI can train and run models directly on edge devices, the endpoints of the IoT network. This edge AI approach not only enhances computational efficiency and data security but also unlocks new possibilities for intelligent devices and sensors that continuously generate diverse data streams.
The analyst covers the following in the report:
- Growth drivers and restraints
- GenAI market revenue and statistics
- Top GenAI-IoT applications
- The telecommunications industry’s role in the ecosystem
- Profiles of top tech companies in the space
- Growth opportunities for market participants
Table of Contents
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- AWS
- IBM
- Microsoft Azure
- NVIDIA
- Soracom
