Introduction: Why Real-Time Matters
Modern enterprises run on data. But in most organizations, data is scattered locked in ERP systems, IoT sensors, legacy databases, and spreadsheets. By the time it’s compiled and analyzed, the moment to act has already passed. This lag creates inefficiencies, downtime, and missed opportunities.
Real-time intelligence changes that. Instead of reacting to yesterday’s reports, leaders can see what is happening now, anticipate what’s about to happen, and act instantly. This shift is crucial for manufacturing plants reducing unplanned downtime, hospitals optimizing bed occupancy, or energy companies monitoring offshore platforms.
Acuvate, in collaboration with Microsoft, brings this vision to life. With AcuPrism, built on Microsoft Fabric Real-Time Intelligence (RTI) and powered by Azure IoT Operations, enterprises gain a unified platform that transforms raw signals into trusted insights and automated decisions.
Microsoft Fabric: A Unified Platform for Intelligence
At the center of this ecosystem is Microsoft Fabric, an end-to-end analytics and intelligence platform. It unifies:
- Data movement and integration with Data Factory.
- Real-time streaming and analytics through RTI.
- AI-powered insight delivery with Copilot and Microsoft AI services.
- Governed storage and access via OneLake and Microsoft Purview.
- Visualization and reporting through Power BI.
Fabric isn’t just another analytics tool it’s a single foundation for data-driven transformation. With built-in governance, cross-company security, and integration into the broader Microsoft ecosystem (Dynamics, 365, Security, AI Services), enterprises can trust their insights and scale them globally.
AcuPrism: Acuvate’s Enterprise Data & AI Platform
AcuPrism is Acuvate’s Unified Data & AI Platform, designed to extend Microsoft Fabric with industry-focused capabilities. It combines:
- Data Lakehouse Architecture with bronze, silver, and gold curation layers.
- Data Interfaces for SAP, SQL, IoT devices, cameras, and OSIsoft/Aveva PI.
- Contextualization & AI Deployment for both batch and streaming data.
- Insights Serving Layer that powers Power BI dashboards, Copilot, chatbots, and digital twins.
- User Interfaces for reporting, AI-driven applications, and intelligent automation.
Whether enterprises are running multiple plants, managing distributed assets, or modernizing ERP-driven operations, AcuPrism ensures governance, security, and observability without compromising agility.
AcuPrism can be deployed directly on Microsoft Fabric or on Databricks, giving flexibility to organizations with existing data investments.
AcuSeven: The Framework for Real-Time Operations
Technology alone doesn’t guarantee results. Acuvate developed AcuSeven, a proven seven-step methodology for modernizing operations with real-time intelligence.
- Problem Identification & Data Needs – Define the business challenge and required data sources (IoT, ERP, applications).
- Data Collection – Capture signals from machines, cameras, or external feeds.
- Edge Processing – Use Azure IoT Operations for low-latency computation where decisions can’t wait.
- Cloud Ingestion – Cleanse and contextualize data in Fabric.
- Analytics & AI – Apply ML, machine vision, or generative AI to uncover insights.
- Decision Integration – Embed insights into digital twins, control systems, or business workflows.
- Automation & Optimization – Scale autonomy with agentic AI, reducing human intervention.
This structured approach ensures data flows seamlessly from sensors to outcomes, maximizing both speed and impact.
Azure IoT Operations: Intelligence at the Edge
Many industries manufacturing, oil & gas, healthcare require edge intelligence. Delays in sending data to the cloud and back could mean lost production or safety risks.
Azure IoT Operations, built on Azure Arc and Kubernetes, addresses this need. It enables:
- High-volume edge processing for telemetry, video, and events.
- Low-latency AI execution near devices (using GPU-enabled hardware like NVIDIA Jetson).
- Unified device/resource management, covering onboarding, monitoring, and security.
- Resilient edge-to-cloud integration, ensuring no data gaps.
The result: instant responses locally, while still feeding insights upstream to Fabric for enterprise-scale analysis.
Microsoft Fabric RTI: Real-Time Intelligence Across the Enterprise
While IoT Operations handles edge workloads, Microsoft Fabric RTI enables enterprise-wide decision-making. It provides:
- Centralized analysis across plants, departments, and geographies.
- AI-driven insights for predictive maintenance, quality control, and resource planning.
- Integrated reporting through Power BI dashboards and Copilot-driven natural language queries.
Examples of applications:
- Detecting anomalies on a production line and predicting failures before they happen.
- Monitoring warehouse inventory in real-time to prevent shortages.
- Automating quality control with AI vision models, with results seamlessly visible across the enterprise.
Together, IoT Operations and Fabric RTI form a two-tier model: act instantly at the edge, optimize holistically in the cloud.
Accelerators and Integrations
To help enterprises move faster, Acuvate provides unique accelerators:
- OSIsoft/Aveva PI Streaming Interface – Using OSIsoft/AVEVA PI interfaces, Acuvate’s solution streams high-frequency PI data into Microsoft Fabric OneLake, enabling downstream analytics, dashboards, predictive maintenance, and digital-twin integration.
- DiagramIQ – Converts technical drawings into digital assets, making them usable in Fabric-based analytics and digital twins.
- Fabric Real-Time Activator – Simplifies event stream orchestration for RTI use cases.
These accelerators reduce deployment time and ensure data from legacy and complex systems becomes usable in modern AI workflows.
Real-Time Use Cases
1. Manufacturing – Temperature Monitoring
Critical machines like compressors and pumps often fail due to overheating. Traditionally, checks are manual, error-prone, and delayed.
Solution: IoT sensors capture temperature data, which flows into Fabric RTI. Power BI dashboards visualize conditions in real time, and automated Teams or Outlook alerts notify operators when thresholds are exceeded.
Benefits: Faster decisions, reduced downtime, lower repair costs, and improved OEE.
2. Healthcare – Bed Occupancy & LOS Analytics
Hospitals struggle with delays in patient flow due to poor visibility into bed usage and length of stay.
Solution: Smart sensors and RFID wristbands track occupancy and patient movement. Fabric RTI dashboards show live bed status, LOS trends, and utilization. Copilot automates workflows like housekeeping notifications when a bed is vacant.
Benefits: Improved patient flow, faster discharge planning, and higher bed utilization.
Acuvate’s Role: More Than Technology
Acuvate is more than a platform provider. With 19+ years of expertise, offices across three continents, and partnerships with Fortune 500 clients, Acuvate combines consulting, accelerators, and delivery to help enterprises:
- Build governed, scalable data architectures.
- Adopt AI responsibly and efficiently.
- Modernize operations in manufacturing, energy, healthcare, retail, and BFSI.
By acting as both system integrator and innovation partner, Acuvate ensures enterprises don’t just implement tools they achieve measurable business outcomes.
Conclusion: Building the Real-Time Enterprise
The future belongs to real-time enterprises organizations that unify data, intelligence, and automation to operate with speed and resilience. By combining AcuPrism, Azure IoT Operations, and Microsoft Fabric RTI, companies can:
- Establish end-to-end data-to-decision pipelines.
- Scale AI and automation across plants and processes.
- Improve efficiency, safety, and customer experience.
This is not a distant vision—it’s already happening across manufacturing floors, hospitals, and energy platforms worldwide.
Explore the CoreShift 2025 On-Demand Real-Time Enterprise Session to see how AcuPrism with Microsoft Fabric RTI is transforming operational decisions.
Everything You Need to Know About Real-Time Intelligence — FAQs
Real-time intelligence enables organizations to take action based on what is happening right now instead of relying on delayed or historical reports. By capturing and analysing live operational data, enterprises can reduce downtime, improve efficiency, enhance safety, and unlock predictive capabilities across industries such as manufacturing, healthcare, and energy.
Microsoft Fabric brings data integration, streaming analytics, AI capabilities, governed storage, and visualisation together into a single, unified platform. Its Real-Time Intelligence (RTI) layer processes high-velocity data streams, enabling predictive maintenance, anomaly detection, and instant insights through Power BI dashboards and Copilot’s natural language experiences.
AcuPrism is Acuvate’s Unified Data & AI Platform accelerator that extends Microsoft Fabric with industry-specific capabilities. It provides a modern lakehouse architecture, supports integrations with ERP systems, IoT devices, and industrial data sources, and enables advanced contextualization, AI model deployment, dashboards, and digital twin integrations, helping enterprises modernise and unify operations end-to-end.
Azure IoT Operations enables computation and AI execution directly at the edge, allowing critical decisions to be made instantly without waiting for cloud processing. It supports telemetry ingestion, video analytics, secure device management, and reliable edge-to-cloud synchronisation, making it ideal for scenarios where milliseconds matter, such as manufacturing, energy operations, and healthcare workflows.
- AcuPrism accelerates enterprise Data & AI modernisation by offering a ready-to-deploy platform with built-in architecture, integrations, governance, and real-time analytics capabilities.
- DiagramIQ converts engineering diagrams into structured digital assets that can be used in digital twins, asset models, and advanced analytics.
Together, these accelerators significantly reduce time-to-value and enable enterprises to adopt real-time intelligence more quickly and efficiently.
