Explorez comment la plateforme GUM-RTDP offre une intelligence en temps réel à travers les industries. Chaque industrie présente quelques événements d'affaires représentatifs, des événements scorés par l'IA, des flux d'événements de bout en bout, et des cas d'utilisation de l'IA — illustrant comment les trois couches intégrées de la plateforme collaborent pour détecter, prédire et agir en temps réel. Les exemples sont intentionnellement sélectifs ; l'architecture composable de la plateforme prend en charge un éventail bien plus large de scénarios adaptés à votre organisation.

La nomenclature des événements est intentionnelle — un événement bien nommé communique son intention d'affaires sans ambiguïté, éliminant toute mauvaise interprétation par les producteurs et les consommateurs. Lorsque le nom seul est insuffisant, une description précise dans le registre d'événements complète le contrat. Une nomenclature ancrée dans le Modèle Conceptuel de Données d'Entreprise (CEDM) garantit que les événements reflètent de véritables concepts d'affaires plutôt que des artefacts techniques ou axés sur les systèmes — une discipline fondamentale pour un tissu événementiel gouverné et digne de confiance.

Transport aérien

Événements

  • flight.scheduled
  • passenger.checked_in
  • baggage.tagged
  • boarding.completed
  • flight.departed

Événements IA

  • flight.delay.predicted
  • passenger.no_show_risk.scored
  • baggage.misroute_risk.predicted
  • demand.forecast.generated
  • ancillary.revenue.forecasted

Flux d'événements

  • On passenger.checked_in → inference publishes passenger.no_show_risk.scored → consumers react: overbooking mgmt. service, gate agent alert
  • On baggage.tagged → inference publishes baggage.misroute_risk.predicted → consumers react: manual check service, baggage handler alert
  • On boarding.completed → inference publishes flight.delay.predicted → consumers react: proactive rebooking service, crew legality checker, gate manager

 

Cas d'utilisation IA

  • O&D and operating segment demand forecasting (dynamic pricing, crew planning)
  • Predictive maintenance from sensor + flight data (minimize AOG events)
  • IROPS prediction (delay propagation, crew legality, misconnects)
  • Customer LTV & churn prediction (loyalty + offer personalization)
  • Ancillary revenue optimization (bags, seats, upgrades) by real-time context

Transport ferroviaire

Événements

  • carriage.coupled
  • track.occupancy.updated
  • delay.reported
  • train.arrived
  • track.blue_flagged

Événements IA

  • train.delay.predicted
  • track_occupancy.level.forecasted
  • rollingstock.failure.predicted
  • passenger.demand.forecasted
  • safety_incident.risk.scored

Flux d'événements

  • On delay.reported / train.departed → inference publishes train.arrival.predicted → consumers react: pax notification service, crew reassignment, connection manager
  • On track.occupancy.updated → consumers react: signal control system, switching service, safety monitor
  • On track.blue_flagged → consumers react: safety halt service, dispatcher alert, maintenance coordinator

 

Cas d'utilisation IA

  • Train delay prediction using historical patterns, congestion, weather, & asset health
  • Rolling stock predictive maintenance (wheel flats, brake wear, vibration anomalies)
  • Passenger demand forecasting for timetable planning and capacity allocation
  • Energy optimization (eco‑driving models, regenerative braking patterns)
  • Crew optimization (fatigue risk, assignment efficiency, overtime forecasting)

Transport public

Événements

  • vehicle.departed
  • stop.arrived
  • passenger.boarded
  • fare.validated
  • service.disrupted

Événements IA

  • ridership.demand.forecasted
  • crowding.level.predicted
  • vehicle.failure.predicted
  • service.delay_risk.scored
  • fare.evasion_risk.scored

 

Flux d'événements

  • On passenger.boarded → inference publishes crowding.level.predicted → consumers react: dynamic dispatch service, passenger information system
  • On service.disrupted → inference publishes train.delay.predicted → consumers react: transfer protection service, passenger notification, crew reassignment
  • On fare.validated → inference publishes fare.evasion_risk.scored → consumers react: inspection alert service, enforcement dispatcher

 

Cas d'utilisation IA

  • Ridership forecasting by route, stop, and time of day for service planning
  • Crowding prediction to adjust headways or dispatch extra vehicles
  • Predictive maintenance for buses, trams, and stations (doors, HVAC, batteries)
  • Real‑time transfer optimization (predicting missed connections)
  • Fare evasion detection using patterns from taps, gates, and historical anomalies

Municipalités

Événements

  • traffic_flow.updated
  • parking_spot.occupied
  • waste_level.measured
  • air_quality.recorded
  • incident.reported

Événements IA

  • traffic_flow.level.predicted
  • parking_demand.forecasted
  • waste_level.quantity.forecasted
  • air_quality.level.forecasted
  • incident_risk.scored

 

Flux d'événements

  • On traffic_flow.updated → inference publishes trafficflow.level.predicted → consumers react: signal timing service, routing information system
  • On air_quality.recorded → inference publishes airquality.level.forecasted → consumers react: public alert service, school notification, event organizer
  • On incident.reported → consumers react: emergency response coordinator, fire dispatch, police dispatch, EMS dispatch

 

Cas d'utilisation IA

  • Traffic forecasting for congestion management and signal optimization
  • Parking demand prediction for dynamic pricing and routing
  • Waste collection optimization (fill‑level forecasting, route planning)
  • Environmental forecasting (air quality, noise, flood risk)
  • Emergency response optimization (resource allocation, dispatch prediction)

Divertisssement en direct

Événements

  • ticket.scanned
  • crowd_flow.updated
  • concession.purchased
  • merchandise.sold
  • event.concluded

Événements IA

  • crowdflow.level.predicted
  • concession.demand.forecasted
  • merchandise.sales.forecasted
  • safety_incident.risk.scored
  • staffing.requirement.predicted

 

Flux d'événements

  • On ticket.scanned / purchased → inference publishes crowdflow.level.predicted   → consumers react: staffing reallocation service, security dispatcher
  • On concession.purchased → inference publishes concession.demand.forecasted → consumers react: restocking service, inventory manager
  • On crowd_flow.updated → inference publishes safety_incident.risk.scored   → consumers react: security response service, venue operations

 

Cas d'utilisation IA

  • Crowd flow prediction (ingress, egress, concourse movement)
  • Dynamic staffing optimization for concessions, security, and cleaning
  • Real‑time demand forecasting for concessions and merchandise
  • VIP/loyalty engagement models (next‑best‑action during the event)
  • Safety risk prediction (heat maps of congestion, incident likelihood)

Industrie Financière

Événements

  • account.opened
  • funds.transferred
  • payment.processed
  • loan.approved
  • fraud.detected

Événements IA

  • transaction.fraud_risk.scored
  • loan.default_risk.scored
  • customer.churn_risk.scored
  • credit_limit.adjustment.recommended
  • payment.failure_risk.predicted

Flux d'événements

  • On funds.transferred → inference publishes transaction.fraud_risk.scored → consumers react: transaction hold service, compliance system, customer alert
  • On payment.processed → inference publishes payment.failure_risk.predicted → consumers react: customer notification service, retry manager
  • On loan.approved → consumers react: KYC/AML workflow, document generation, disbursement service
  • On fraud.detected → consumers react: account freeze service, customer notification, compliance reporting

 

Cas d'utilisation IA

  • Credit scoring
  • Fraud detection
  • Customer lifetime value
  • Next‑best‑product
  • Risk modeling

 

Commerce

Événements

  • product.created
  • inventory.level.adjusted
  • cart.updated
  • order.placed
  • payment.authorized
  • shipment.delivered

Événements IA

  • product.demand.forecasted
  • inventory.level.predicted
  • order.cancellation_risk.scored
  • customer.churn_risk.scored
  • shipment.delay.predicted

Flux d'événements

  • On cart.updated → inference publishes order.cancellation_risk.scored → consumers react: cart recovery service, promotions engine
  • On order.placed → inference publishes transaction.fraud_risk.scored → consumers react: hold or place order based on threshold
  • On inventory.level.adjusted → consumers react: replenishment service, supplier notification, demand planner
  • On payment.authorized → consumers react: shipment workflow, warehouse picker, customer notification

Cas d'utilisation IA

  • Demand forecasting per SKU/store
  • Price elasticity modeling
  • Customer lifetime value
  • Recommendation engines
  • Fraud scoring

 

Assurances

Événements

  • quote.requested
  • policy.bound
  • claim.filed
  • claim.adjusted
  • payment.disbursed

Événements IA

  • policy_renewal.risk.scored
  • claim_fraud.risk.scored
  • claim_settlement.amount.predicted
  • customer.lifetime_value.predicted
  • quote.conversion_probability.scored

Flux d'événements

  • On quote.requested → inference publishes quote.conversion_probability.scored → consumers react: personalized offer service, campaign manager
  • On claim.filed → inference publishes claim.fraud_risk.scored   → consumers react: adjuster assignment, case mgmt., customer notification
  • On claim.adjusted → inference publishes claim_settlement.amount.predicted → consumers react: auto-approval service, payment processor
  • On policy.bound → consumers react: underwriting workflow, document generation, billing

 

Cas d'utilisation IA

  • Claim severity prediction
  • Fraud scoring
  • Risk classification
  • Loss ratio forecasting
  • Customer churn prediction

 

Santé

Événements

  • appointment.scheduled
  • patient.checked_in
  • diagnosis.recorded
  • medication.prescribed
  • claim.submitted

Événements IA

  • appointment.no_show_risk.scored
  • diagnosis.recommendation.generated
  • patient.readmission_risk.scored
  • medication.adherence_risk.predicted
  • resource.utilization.forecasted

Flux d'événements

  • On patient.checked_in → inference publishes appointment.no_show_risk.scored   → consumers react: outreach service, scheduling optimizer
  • On diagnosis.recorded → inference publishes patient.readmission_risk.scored   → consumers react: care pathway service, resource planner
  • On medication.prescribed → inference publishes medication.adherence_risk.predicted   → consumers react: follow-up workflow, pharmacy notification

Cas d'utilisation IA

  • Predictive triage
  • No‑show prediction
  • Readmission risk
  • Patient flow forecasting
  • Treatment recommendation support

 

Médias & Diffusion

Événements

  • content.viewed
  • playback.started
  • playback.interrupted
  • subscription.renewed
  • recommendation.served

Événements IA

  • content.recommendation.generated
  • customer.churn_risk.scored
  • engagement.level.predicted
  • ad.yield.forecasted
  • playback.failure_risk.predicted

Flux d'événements

  • On playback.started → inference publishes recommendation.served   → consumers react: content suggestion service, ad insertion engine
  • On playback.interrupted → inference publishes playback.failure_risk.predicted → consumers react: CDN failover service, QoS monitor
  • On subscription.renewed → inference publishes customer.churn_risk.scored   → consumers react: loyalty offer service, account manager

Cas d'utilisation IA

  • Personalized content recommendations (session‑level, real‑time)
  • Churn prediction based on engagement, content patterns, and QoS signals
  • Ad targeting + yield optimization using behavioral and contextual features
  • Content performance forecasting (what will trend, what will drop)
  • Quality‑of‑experience prediction (buffering, CDN issues, device patterns)

 

Gouvernements

Événements

  • application.submitted
  • case.updated
  • permit.issued
  • benefit.approved
  • compliance_flag.raised

Événements IA

  • application.processing_time.predicted
  • fraud.risk.scored
  • benefit.eligibility.scored
  • service.demand.forecasted
  • compliance.risk.scored

Flux d'événements

  • On application.submitted → inference publishes application.processing_time.predicted → consumers react: priority queue service, SLA monitor, applicant notification
  • On benefit.approved → inference publishes fraud.risk.scored → consumers react: audit service, compliance reporter, payment processor
  • On compliance_flag.raised → consumers react: audit workflow, legal notification, case management service

Cas d'utilisation IA

  • Case processing prediction (backlogs, SLA breaches, processing times)
  • Fraud detection across benefits, taxation, procurement, and identity
  • Citizen service demand forecasting (call centers, digital portals, in‑person visits)
  • Workforce optimization for public services (health, social, transportation)
  • Policy impact modeling using historical and real‑time operational data

 

Services publics

Événements

  • meter_reading.captured
  • outage.reported
  • service.restored
  • usage_anomaly.detected
  • work_order.dispatched

Événements IA

  • outage.risk.predicted
  • load.demand.forecasted
  • leak.risk.scored
  • asset.failure.predicted
  • consumption.level.forecasted

Flux d'événements

  • On meter_reading.captured → inference publishes usage_anomaly.detected → consumers react: investigation service, customer notification, billing adjuster
  • On outage.reported → inference publishes outage.risk.predicted → consumers react: crew dispatch service, customer notification, grid balancer
  • On work_order.dispatched → inference publishes asset.failure.predicted → consumers react: preventive maintenance service, parts procurement

Cas d'utilisation IA

  • Load forecasting (short‑term and long‑term) for grid balancing
  • Predictive maintenance for transformers, pumps, valves, and pipelines
  • Leak detection using pressure, flow, and anomaly patterns
  • Outage prediction based on weather, asset age, and historical failures
  • Demand response optimization (who to notify, when, and with what incentive)

 

Mines

Événements

  • extraction.started
  • equipment.fault.detected
  • safety_incident.reported
  • ore.processed
  • shipment.loaded

Événements IA

  • equipment.failure.predicted
  • safety_incident.risk.scored
  • ore.grade.predicted
  • production.output.forecasted
  • maintenance.schedule.optimized

Flux d'événements

  • On equipment.fault.detected → inference publishes equipment.failure.predicted → consumers react: maintenance work order service, parts procurement
  • On safety_incident.reported → inference publishes safety_incident.risk.scored → consumers react: evacuation coordinator, shutdown service, compliance reporter
  • On ore.processed → inference publishes ore.grade.predicted → consumers react: processing parameter adjuster, production planner

Cas d'utilisation IA

  • Ore grade prediction
  • Equipment failure prediction
  • Production forecasting
  • Environmental risk modeling
  • Worker safety scoring

 

Fabrication

Événements

  • work_order.created
  • material.issued
  • production.completed
  • quality_check.failed
  • shipment.dispatched

Événements IA

  • equipment.failure.predicted
  • production.yield.forecasted
  • quality.issue_risk.scored
  • material.consumption.forecasted
  • shipment.delay.predicted

Flux d'événements

  • On quality_check.failed → inference publishes quality.issue_risk.scored  → consumers react: production halt service, quality manager, supplier alert
  • On material.issued → inference publishes material.consumption.forecasted → consumers react: reorder service, supply chain planner
  • On production.completed → consumers react: shipment dispatcher, inventory updater, billing service

Cas d'utilisation IA

  • Predictive maintenance
  • Yield optimization
  • Quality prediction
  • Supply chain forecasting
  • Energy optimization

 

Télécom

Événements

  • service.activated
  • plan.changed
  • usage.recorded
  • outage.detected
  • ticket.resolved

Événements IA

  • customer.churn_risk.scored
  • network.outage_risk.predicted
  • usage.demand.forecasted
  • plan.recommendation.generated
  • ticket.escalation_risk.scored

Flux d'événements

  • On usage.recorded → inference publishes customer.churn_risk.scored   → consumers react: retention offer service, account manager
  • On outage.detected → inference publishes network.outage_risk.predicted   → consumers react: customer notification service, field crew dispatcher
  • On ticket.resolved → consumers react: satisfaction survey service, churn risk re-scorer, loyalty tracker

Cas d'utilisation IA

  • Churn prediction
  • Network anomaly detection
  • Usage forecasting
  • Next‑best‑offer
  • Fraud detection

 

Hôtellerie

Événements

  • room.searched
  • booking.created
  • booking.modified
  • payment.captured
  • room.check_in.completed
  • room.check_out.completed

Événements IA

  • room.demand.forecasted
  • booking.cancellation_risk.scored
  • guest.spend.predicted
  • occupancy.rate.forecasted
  • maintenance.issue.predicted

Flux d'événements

  • On room.searched → inference publishes room.demand.forecasted → consumers react: dynamic pricing engine, inventory manager
  • On booking.created → inference publishes booking.cancellation_risk.scored → consumers react: retention offer service, revenue manager
  • On room.check_in.completed → consumers react: personalized offer service, housekeeping scheduler, loyalty tracker

Cas d'utilisation IA

  • Average Daily Rate (ADR) optimization
  • Booking pace forecasting
  • Guest segmentation
  • Churn prediction
  • Review sentiment analysis