Skysens Docs
  • Getting Started
  • Agile Predictive Monitoring
    • Concept
    • Hardware
    • Wireless Networks
    • Platform
    • AI
  • Main Menu and Overview
    • Overview Usecases
    • Widget Types
      • Value
      • Gauge
      • Image
      • Notification
      • Map
      • Text
      • Intensity Chart (Heatmap)
      • Table
      • Line Chart
      • Bar Chart (Histogram)
      • Line - Bar Chart
      • Pie Chart
      • Sankey Diagram
    • Best Practices
  • Notifications
    • Notification Menu
    • Notification Types
  • Asset
    • Asset Types
    • Asset Listing
    • Asset Details
    • Application
  • Rules Menu
    • Rules Edit and Frequency
      • Condition
      • Action
  • Sources
    • Connection Types
      • Modbus TCP
      • MQTT
      • HTTP
    • Device Catalog (LoRaWAN)
    • Network Management (LoRaWAN)
      • Gateway
      • Device
    • Virtual Sensor
      • Value
      • Form
      • Simulation
  • Settings
    • Account Settings
    • Location Management (Settings)
    • User/Role Management (Settings)
  • Reports
    • Advanced Reporting
  • Logs
Powered by GitBook
On this page
  1. Agile Predictive Monitoring

AI

PreviousPlatformNextMain Menu and Overview

Last updated 1 month ago

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: -Edge Level: On-Sensor AI capabilities -Analytics Level: Unsupervised, machine learning capabilities on either stream or stored data -Application Specific: Specialized AI models to applications such as energy efficiency, predictive maintenance etc. -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 for more information.

AI page
Application Based AI Modeling