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Latest posts
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Connected Digital Twins in Manufacturing: Turning Plant Data into Intelligent Operations
Industrial plants do not usually suffer from a lack of data. In most cases, the information already exists. Engineering teams have P&IDs and design files. Operations teams work with historian and SCADA data. Maintenance teams rely on CMMS or EAM platforms. ERP systems contain…
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Forward-Deployed Engineering: The Operating Model for Enterprise AI
Enterprise AI rarely struggles for lack of ideas. The harder problem begins after a promising use case has been identified: translating it into a working solution that fits the real process, connects to enterprise systems, passes security review, earns user trust, and remains…
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Industrial AI in Manufacturing: From Plant Data to Smarter Operations
Manufacturing plants rarely have a shortage of data. Historians capture years of operating information. SCADA and DCS systems know what is happening on the plant floor. ERP platforms hold business and maintenance information. Engineering teams work with P&IDs and thousands of…
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From AI Pilots to Production: What Enterprise-Scale Agentic AI Really Requires
An AI agent can perform brilliantly in a pilot and still struggle the moment it reaches production. The pilot may involve a controlled group of users, carefully selected scenarios and a limited set of enterprise systems. Production introduces something very different:…
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From Static P&IDs to Connected Digital Twins: Building the Data Foundation for Smarter Industrial Operations
Introduction In most manufacturing plants, the information needed to understand an asset already exists. The problem is that it rarely exists in one place. A pump may appear on a P&ID, have its Tag ID recorded in a spreadsheet or registry, maintenance history stored in an ERP…
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The Next Shift in Enterprise Data & AI: 8 Insights from CoreShift 2026
Enterprise Data & AI is entering a more operational phase. AI agents are moving into real business workflows. Ontologies are giving AI the context to understand how businesses actually work. Real-time data is connecting industrial operations with enterprise decision-making.…
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AcuSignal: Accelerating Industrial AI Solutions for Manufacturing
Industrial AI depends on more than AI models. It needs reliable access to operational data, enterprise data, and the context that connects them. AcuSignal is designed to simplify this connection and speed up the deployment of Industrial AI solutions across manufacturing…
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Beyond AI Pilots: The Technologies and Foundations Enterprises Need to Scale What’s Next
Enterprise technology has moved quickly from experimentation to execution. AI agents are beginning to work across business applications. Real-time data is changing how operational decisions are made. Ontologies are giving data more business context. Digital twins are connecting…
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From Plant Data to Industrial Intelligence: How Manufacturers Can Make AI Useful
Introduction Manufacturing plants generate data continuously. Machines report operating conditions. Sensors capture temperature, pressure, vibration, flow, and other parameters. Historians retain years of process data. Maintenance systems hold work orders and service records.…
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Microsoft Fabric IQ Ontology: Building Business Context for Enterprise AI
Microsoft Fabric IQ Ontology: Building Business Context for Enterprise AI Enterprises have made significant progress in consolidating data through cloud platforms, lakehouses, semantic models, and real-time analytics. Yet many business questions still require analysts and domain…