# AI

Agile Predictive Monitoring concept aims to make AI available for operational teams as flexible and practical manner. For this,  AI being used in several different ways for best output

AI levels and capabilities can be listed as:\
\
\&#xNAN;**-Edge Level:** On-Sensor AI capabilities\
\&#xNAN;**-Analytics Level:** Unsupervised, machine learning capabilities on either stream or stored data\
\&#xNAN;**-Application Specific:** Specialized AI models to applications such as energy efficiency, predictive maintenance etc. \
\&#xNAN;**-Agents:** Pre-trained, LLM based agents acts as a expert in respective fields (maintenance, energy efficiency, health and safety etc.) with data analytics capabilities.

These levels aimed provide AI capabilities as flexible as possible for all types of users and applications.

\
Since AgPM is primed for practical AI usage and connecting real world operations with AI easily and efficiently, preferably plug-and-play level, several AI models are being used with different levels simultaneously. Please see [AI page](/agile-predictive-monitoring/ai.md) for more information.\
\ <br>

<figure><img src="/files/0tbfxTYS8menKBJVfNLk" alt=""><figcaption><p>Application Based AI Modeling</p></figcaption></figure>


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