Operational history
Consolidate events, evidence, states and variables instead of analyzing isolated incidents.
AOIMODULE 06 · PREDICTIVE ANALYTICS
From observing events to identifying patterns
Use operational history to find trends, deviations and opportunities for anticipation.
Request a demo
AOI / MODULE INTELLIGENCE LIVE CONTEXT
Events + context + history + models
CAPABILITIESPREDICTIVE ANALYTICS
Accumulated events become anticipation.
The sequence detection → context → analysis → anticipation compares shifts, correlates events, discovers patterns and builds specialized predictive models for operations.
WHAT AOI ANALYZES
01Trend analysis
02Pattern identification
03Shift comparison
04Deviation detection
05Historical analysis
06Specialized predictive models
BROCHURE · MODULE DETAILFIELD GUIDE
Operational history enables anticipation.
Predictive Analytics accumulates contextualized events, compares behavior and helps prioritize deviations before they become losses or incidents.
AOI / OPERATIONAL VIEW FIELD CONTEXT
EVIDENCE · CONTEXT · ACTION
01
Consolidate events, evidence, states and historical variables.
02
Find patterns by asset, area, shift and condition.
03
Deliver indicators and signals for specialized models.
Contextual patterns
Compare assets, areas, shifts and conditions to detect recurrence and concentration.
Deviation from baseline
Identify relevant changes against normal operation or expected behavior.
Specialized models
Prepare signals, labels and outcomes for business-oriented predictive models.
OPERATIONAL MODELFROM SIGNAL TO DECISION
A visual chain
with operational context.
AOI connects input signals, local intelligence and operational context so every module produces measurable action.
01 · SIGNALSAOI events · Operational history · OT variables
→02 · AOIConsolidateBring events, evidence, context, states and historical variables into one operational history.
→03 · CONTEXTAnalyzeCompare shifts, assets, areas and event classes to discover patterns.
→04 · ACTIONAnticipateTrends · Correlated patterns
CONTEXTDETECTION → CONTEXT → ACTION
01
Evidence
Image, video or snapshot associated with the detected event.
02
Operational Context
Events + context + history + models. AOI knows where, when and under which condition it happened.
03
Action
Alert, report, workflow or integration with industrial systems.
NEXT STEPAOI · PREDICTIVE ANALYTICS
Build intelligence
around your operation.
Talk to RTFicial More information 01 · WHY IT MATTERSOPERATING CONTEXT
From observing events to identifying patterns
in the real world.
Events gain more value when they accumulate as history. AOI Predictive Analytics uses evidence and context to detect patterns, deviations and anticipation signals.
01
Consolidate
Bring events, evidence, context, states and historical variables into one operational history.
02
Analyze
Compare shifts, assets, areas and event classes to discover patterns.
03
Anticipate
Prioritize deviations and enable specialized predictive models.
02 · DATA MODELFROM SIGNAL TO DECISION
An operational and traceable
data chain.
The module transforms visual signals and contextual variables into information ready to operate, measure and audit.
INPUTS / SIGNALS
AOI events
Operational history
OT variables
Shifts and assets
Labels and outcomes
→
OUTPUTS / INTELLIGENCE
Trends
Correlated patterns
Deviations
Operational indicators
Specialized models
03 · APPLICATIONSWHERE IT FITS
Designed for
concrete use cases.
Start from an operational need, scale into new scenarios and keep evidence connected to the process.
01Trend analysis
02Shift comparison
03Event correlation
04Condition anticipation
INTEGRATIONS
AOI Event StoreData platformsHistoriansAPIs and reports
04 · MEASUREMENTOPERATIONAL SIGNALS
Measure to
continuously improve.
These indicators can be combined with OT variables, history and business outcomes to build a shared operational view.
01Event frequencyAOI · CONTEXTUAL METRIC
02Deviation vs baselineAOI · CONTEXTUAL METRIC
03Trend by assetAOI · CONTEXTUAL METRIC
04Model confidenceAOI · CONTEXTUAL METRIC