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Ontology

MES for Efficient Compliance

Leucine Pharma MES for Efficient Compliance Grows with Ecolab

What do pharmaceutical manufacturers most need? To be compliant with government regulations without wasting time and effort. Leucine set out to deliver that with its SaaS software suite, which includes hubs for Manufacturing, Quality, and, most recently, Laboratory, with Intelligence (including AI) serving it all. The company launched in 2019 and joined forces with Ecolab…

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  • Insights

Julie Fraser - September 26, 2025 - Filed Under: Insights, Insights & Activity - Tagged With: Lab, Laboratory, AI, Ontology, Intelligence, Compliance, QMS, Quality, MES, Pharmaceutical

Manufacturing Data Hub

Rhize Enables Enterprise Digital Transformation with Ontology-Based Data Hub

Can ISA95 rescue large manufacturers’ digital transformation efforts? Early evidence suggests that it can, when deployed as a knowledge graph, exposed as the schema of a standard data model. The ISA95 standard is the basis for the ontological structure of Rhize Manufacturing Data Hub. This headless, event-driven, real-time system provides a clean, single source of…

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  • Insights

Julie Fraser - July 24, 2025 - Filed Under: Insights, Insights & Activity - Tagged With: Workflow, Event-Driven, Integration, Time-Series Data, Platform, Complex Rules Processing, Digital Transformation, GraphQL, Ontology, Low-code / No-code, Headless, Real-time, ISA95, Operations Data Management, Manufacturing Data Hub, Knowledge Graph

Operations Data Management

Operations Data Management: Five Facets to Gain Batch Process Insights

What makes it so difficult to manage operations data and achieve AI success in batch process industries? There are many valid answers, and it’s crucial to address them all. In this white paper, we explore special issues around mindset, complexity, multiple disciplines, and a variety of dispersed data. We also address how these batch process…

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  • White Papers

Julie Fraser - March 21, 2022 - Filed Under: Published Research, White Papers - Tagged With: Data Management, Industry 4.0, Data Platform, AI, Operations, ML, Ontology, Data Contextualization, IIRA, Data Harmonization Batch Process Manufacturing

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