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

1. Welcome & Objectives – understand your goals and priorities
2. Solution Overview – the architecture, key Azure components, and how it scales
3. Industry Patterns – cross-sector examples (transport, utilities, cities, manufacturing, construction)
4. KPIs & Value Levers – detection accuracy, alert latency, ROI examples
5. 4-Step Engagement Model – how we deliver value (see below)
6. Q&A and Next Steps

Our 4-Step Engagement Model

1. 1-Hour Executive Briefing (this session)
   Align stakeholders, define use cases, and outline success criteria.

2. Discovery & Value Assessment (2 weeks)
   Assess your current state, develop ROI hypotheses, and create a reference architecture and delivery plan.

3. 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.

4. 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.