> For the complete documentation index, see [llms.txt](https://docs.skysens.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.skysens.io/agile-predictive-monitoring/concept.md). # Concept
Agile Predictive Monitoring is a modern approach to monitoring systems, designed to bring greater efficiency and adaptability to various industries. It has started to being developed in around mid 2010s with the rapid development in low-power, low-cost wireless IoT space and AI technologies, inspired from lean manufacturing and agile development principles. It aims to provide shortcut between physical data acquisition and AI applications and provide capabilities for all user levels inside the industrial enterprise. AgPM can be used for any enterprise which has technical assets and technical infrastructure such as manufacturing plant, logistical enterprises, airports, sea ports, municipality or city councils, shopping malls, residential and office buildings any many others. It revolves around key principles like **flexibility**, allowing a single platform to handle diverse applications simultaneously, reducing costs and addressing multiple issues at once. **User-centricity** is another cornerstone, focusing on user-friendly interfaces to minimize training, support, and adaptation time, ultimately enhancing profitability. **Scalability** is crucial, enabling businesses to expand their systems at their own pace without extra costs, while adaptability ensures compatibility with existing infrastructures and the ability to integrate various machines, equipment, and sensor types. Furthermore, **inclusivity** is prioritized by providing tailored interfaces and data for different users, facilitating effective data sharing. This approach aims to streamline operations, reduce costs, and improve decision-making across various sectors. Rapid **deployment** and **adaptability** is also a areas that AgPM platform has emphasis on, with **rapid deployment** for both IoT and platform capabilities, enterprises cut the time and budget between idea and analysis. With **adaptability**, additional 3rd party services and products wont be needed for most of the applications.