# Internet of Things (Edge AI Glossary)

## metadata
- term: Internet of Things
- slug: internet-of-things
- letter: I
- route: /resources/glossary/internet-of-things
- canonical: https://klyff.com/resources/glossary/internet-of-things

## Definition & Context
The Internet of Things (IoT) refers to a network of connected devices (sensors, machines, and systems) that collect and exchange data in real time. When combined with Edge AI, IoT...

## Details
## Internet of Things (IoT)

#### What is Internet of Things?

The **Internet of Things (IoT)** refers to a network of connected devices (sensors, machines, and systems) that collect and exchange data in real time. When combined with **Edge AI**, IoT transforms raw data into actionable intelligence directly at the device or network edge, reducing latency and enabling smarter, faster decisions.

#### Why Is It Used?

IoT is used to create intelligent, connected ecosystems that enhance operational efficiency, automation, and decision-making. In Edge AI environments, it minimizes reliance on cloud computing by processing data locally, which is crucial for real-time analytics in industries like manufacturing, logistics, and smart infrastructure.

#### How Is It Used?

IoT devices gather continuous streams of data from sensors or machines. **Edge computing platforms** then process this data locally using AI models for instant insights, detecting anomalies, optimizing energy use, or predicting maintenance before syncing with the cloud for broader analytics and storage.

#### Types of Internet of Things

 
- **Consumer IoT:** Smart homes, wearables, and connected healthcare devices.
- **Industrial IoT (IIoT):** Smart factories, robotics, and predictive maintenance.
- **Infrastructure IoT:** Smart cities, traffic systems, and energy grids.
- **Enterprise IoT:** Connected workspaces and asset tracking systems. 

#### Benefits of Internet of Things

 
- **Low Latency:** Instant decision-making close to the data source.
- **Enhanced Security:** Sensitive data processed locally, minimizing cloud exposure.
- **Scalability:** Efficient integration of new devices across distributed networks.
- **Operational Efficiency:** Real-time monitoring and predictive analytics reduce downtime and costs.