Digital Twins & PlatformMonitoring

AI Inference Services for Operational Flows Forecasting, Problem Detection and Response

The AI Inference Services provide configurable analytics and optimisation intelligence for CSSBoost. They support forecasting, anomaly detection, telemetry correlation, root-cause analysis and decision support on top of data integrated through the Virtualisation Platform.

Tool Owner
MAG
Target Users
Pilot operators, Digital Twin users, Data analysts, Value-chain managers, Decision makers, CSSBoost tool components requiring predictions or anomaly/problem detection
HTTPS/JSON web APIs
Token-based authentication
BI & Visualisation API for stateless services
Airflow REST API
DAGs for model-based pipelines
Data Warehouse integration
Virtualisation Platform APIs
Overview
Tool Owner
MAG
Category
Digital Twins & Platform
Tool Type
Monitoring
Key Features
1

Machine-learning and time-series forecasting algorithms.

2

Forecasting of target variables and upcoming events.

3

Anomaly detection, telemetry correlations and root-cause analysis.

4

On-the-Fly AI Services for low-latency computations.

5

Model-Based AI Services for training and inference using historical data.

6

Configurable AI pipelines with user-defined service instances.

7

Airflow DAG-based execution for model-based services.

Input Data Requirements

Telemetry data, historical datasets, Digital Twin metadata, selected target telemetries, thresholds, historical windows, forecasting methods/periods and model-specific parameters.

AI Inference Services for Operational Flows Forecasting, Problem Detection and Response