An LLM can assist in organizing and visualizing technology features by generating a mind map. Here is an example prompt: ``` You are an innovator who wants to bring an innovative technology to the market. In the technology push process, before the identification of the applications of the technology, you need to understand the features of the technology. Generate a mind map to organize and visualize the features of the Internet of Things technology. Show the mind map. Next, generate a plain text version with tabs for indentation ready for download. ``` This can produce the following mindmap: > [!Output] > > 1. **Internet of Things (IoT) Features** > - **Connectivity** > - Wireless Communication > - Network Protocols (e.g., MQTT, CoAP) > - Internet Protocol (IPv6) > - **Sensors and Actuators** > - Data Collection > - Environmental Monitoring > - Control Mechanisms > - **Data Processing** > - Edge Computing > - Cloud Computing > - Data Analytics > - **Interoperability** > - Standardization > - Cross-Platform Integration > - API Interfaces > - **Security** > - Data Encryption > - Authentication > - Privacy Protection > - **Scalability** > - Device Management > - Network Expansion > - Resource Optimization > - **Automation** > - Smart Systems > - Machine Learning Integration > - Predictive Maintenance > - **User Interface** > - Mobile Applications > - Web Dashboards > - Voice Control > A tool like [Coggle.it](https://coggle.it) can read a mind map in a plain text file (as tab indentation outline). It can then be used to make modifications as needed: ![[IoT.png]] Next: [[using mind mapping for identifying IoT technology applications]] Back to [[Technology Assessment]]