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Engineering Data Management in Process Plants: Challenges, AI and Trusted Asset Information Digital TwinsNovember 12, 2026 Engineering Data Management in Process Plants: Challenges, AI and Trusted Asset InformationA plant engineer needs information about a pump. The equipment appears in a P&ID, its specifications... - Connected Digital Twins in Manufacturing: Turning Plant Data into Intelligent OperationsDigital TwinsOctober 30, 2026 Connected Digital Twins in Manufacturing: Turning Plant Data into Intelligent OperationsIndustrial plants do not usually suffer from a lack of data. In most cases, the information...
- October 28, 2026 Forward-Deployed Engineering: The Operating Model for Enterprise AIEnterprise AI rarely struggles for lack of ideas. The harder problem begins after a promising use...
- October 22, 2026 Industrial AI in Manufacturing: From Plant Data to Smarter OperationsManufacturing plants rarely have a shortage of data. Historians capture years of operating information. SCADA and...
- October 15, 2026 From AI Pilots to Production: What Enterprise-Scale Agentic AI Really RequiresAn AI agent can perform brilliantly in a pilot and still struggle the moment it reaches...
- From Static P&IDs to Connected Digital Twins: Building the Data Foundation for Smarter Industrial Operations Digital TwinsSeptember 30, 2026 From Static P&IDs to Connected Digital Twins: Building the Data Foundation for Smarter Industrial OperationsIntroduction In most manufacturing plants, the information needed to understand an asset already exists. The problem...
- September 30, 2026 The Next Shift in Enterprise Data & AI: 8 Insights from CoreShift 2026Enterprise Data & AI is entering a more operational phase. AI agents are moving into real business...
- September 8, 2026 AcuSignal: Accelerating Industrial AI Solutions for ManufacturingIndustrial AI depends on more than AI models. It needs reliable access to operational data, enterprise...
- September 2, 2026 Beyond AI Pilots: The Technologies and Foundations Enterprises Need to Scale What’s NextEnterprise technology has moved quickly from experimentation to execution. AI agents are beginning to work across business...
- August 21, 2026 From Plant Data to Industrial Intelligence: How Manufacturers Can Make AI UsefulIntroduction Manufacturing plants generate data continuously. Machines report operating conditions. Sensors capture temperature, pressure, vibration, flow, and other parameters....
- August 7, 2026 Microsoft Fabric IQ Ontology: Building Business Context for Enterprise AIMicrosoft Fabric IQ Ontology: Building Business Context for Enterprise AI Enterprises have made significant progress in consolidating data...
- July 30, 2026 25 Digital Twin Use Cases Transforming Manufacturing OperationsManufacturers are under pressure to improve output, control costs, maintain quality, and respond faster to disruptions, all while managing...
- July 24, 2026 The Missing Link in Modern Data: Building an Ontology-Driven Business Intelligence LayerEnterprises have invested heavily in data platforms, analytics, and AI. Yet many business questions still require...
- July 17, 2026 20 Real-Time Intelligence Use Cases Driving Industry 4.0 TransformationIn today’s Industry 4.0 landscape, manufacturers are generating vast volumes of data from machines, sensors, production systems, and...
- July 13, 2026 21 Real-World Agentic AI Examples Transforming Enterprise OperationsTL;DR Agentic AI helps enterprises move from AI-assisted work to AI-executed work. Unlike traditional automation or AI...
- June 24, 2026 25 Enterprise AI Use Cases Every CIO Should Prioritize in 2026Artificial intelligence is no longer a future initiative sitting on an innovation roadmap. Across industries, organizations are using...
