Vision & Sensor Intelligence: 1-Hr Briefing
CGI Inc.
Accelerate real‑time asset risk detection with Azure. This 1-Hr briefing of CGI services covering edge vision, sensor fusion, digital twins, analytics, automation, and security.
Accelerate real‑time asset risk detection with Azure. This 1-Hr briefing of CGI services covering edge vision, sensor fusion, digital twins, analytics, automation, and security.
1-Hour Executive Briefing: Vision & Sensor Intelligence on Azure
Overview
Discover how to detect and act on asset risks in near real time using Microsoft Cloud technologies.
This 1-hour executive briefing introduces the Vision & Sensor Intelligence solution—a proven framework that combines edge AI, multi-sensor fusion, digital twins, and automation to deliver measurable safety and operational outcomes across industries.
What You'll Learn
- How Azure IoT Edge / AKS Edge enables AI inference at the edge
- Ingesting and analyzing data with Azure Event Hubs and Stream Analytics
- Applying Azure AI Vision and Azure Machine Learning for model training and monitoring
- Building context with Azure Digital Twins and Azure Maps
- Visualizing insights in Microsoft Fabric / Power BI
- Automating workflows through Logic Apps / Power Automate integrated with Teams or ITSM
- Securing and governing the solution with Microsoft Entra ID, Defender for Cloud, Sentinel, and Purview
Session Agenda
- Welcome & Objectives – understand your goals and priorities
- Solution Overview – the architecture, key Azure components, and how it scales
- Industry Patterns – cross-sector examples (transport, utilities, cities, manufacturing, construction)
- KPIs & Value Levers – detection accuracy, alert latency, ROI examples
- 4-Step Engagement Model – how we deliver value (see below)
- Q&A and Next Steps
Our 4-Step Engagement Model
1-Hour Executive Briefing (this session)
Align stakeholders, define use cases, and outline success criteria.Discovery & Value Assessment (2 weeks)
Assess your current state, develop ROI hypotheses, and create a reference architecture and delivery plan.Pilot / Proof of Concept (4–8 weeks)
Deploy edge AI and Azure services across 1–3 sites; build initial digital twins, dashboards, and KPI reports.Production Readiness (6–12 weeks)
Implement MLOps, infrastructure-as-code, monitoring, SOC integration, FinOps, and handover doc---
Deliverables
- Executive briefing deck (architecture overview, KPIs, and value pathways)
- Prioritised list of high-value use cases
- Recommended next step and tailored roadmap
Ideal Audience
Operations or Engineering Leaders, Asset Managers, Data/AI teams, IT/OT architects, and Security/Compliance stakeholders.
Why Attend
Gain a clear, actionable understanding of how Azure technologies enable intelligent asset monitoring and risk detection—laying the foundation for measurable business value and a scalable roadmap to production.
