On-Demand Webinar Webcast
Exclusive Live Demo:Turn Sensor Data Into Real-Time Action with IoT+EdgeAI
Make Every Production Decision Real-Time, Not Retroactive
Manufacturers today cannot afford slow decisions when a single hour of downtime can cost up to $125,000. This webinar showcases how to move from reactive operations to a real-time, insight-driven factory using Microsoft Fabric, Azure IoT, and Acuvate’s AcuNow accelerators.
Why This Session, Why Now?
Most plants already generate huge volumes of data from sensors, PLCs, cameras, and OSIsoft PI, yet decisions are still made on stale information. At the same time, predictive approaches are delivering 35–50% reduction in unplanned downtime and 25–30% maintenance cost savings for manufacturers adopting them.
This session will focus on how to operationalize that potential using a practical, demo-first approach: We will demonstrate how to collect, stream, and operationalize sensor data so decisions can be made in seconds instead of hours, whether at the edge or in the cloud.
What We Will Demonstrate (Live)
A. High-Frequency Sensor Streaming to Action (Demo)
1. Streaming production parameters (temperature, vibration, throughput, stock levels) into Microsoft Fabric Real-Time Intelligence.
2. Triggering instant notifications and workflows in Microsoft Teams as thresholds are breached.
3. How AcuNow accelerators simplify ingest, enrichment, and routing of small, frequent messages at scale.
B. Machine Vision at the Edge for Quality (Demo)
1. Using cameras on the production line with AI-powered Machine Vision deployed on Azure IoT Edge.
2. Detecting product defects in milliseconds and automatically removing faulty units from the line.
3. Designing for low latency and reliability when quality decisions must be made on the edge.
C. Edge ML for High-Volume Technical Data (Demo)
1. Running ML models on edge servers when data volumes are too high or too sensitive to stream continuously to the cloud.
2. Applying predictive maintenance models on vibration and condition data at the equipment level.
3. Choosing the right balance between edge and cloud based on cost, latency, and regulatory needs.
D. Streaming OSI soft PI Data into Your Enterprise Data & AP Platform (Demo)
1. Streaming timeseries data from distributed Aveva (OSIsoft) PI servers into a Microsoft Fabric-based platform in real-time.
2. Using the AcuNow RTDIP accelerator to avoid weeks of custom integration work and make PI data immediately available for analytics and AI.
3. How this unlocks enterprise-wide visibility and advanced AI use cases on top of existing OT investments.
Who Will Benefit Most
1. Operations and Plant Leaders focusing on OEE, uptime, and quality.
2. IT & OT Leaders responsible for secure, scalable integration of shop-floor and cloud.
3. Data & Analytics leaders driving real-time analytics and AI adoption in manufacturing.