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Our Latest Insights
Articles, webinars, videos and case studies on asset performance management: control valves, pumps and heat exchangers, alarm management, predictive maintenance and the practical use of AI in industrial operations.
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Customer Use Case UReason + Yara International
At its Ferrara plant, Yara International uses the Control Valve App to monitor valve health, prioritise turnaround work and reduce…
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The Power of AVEVA Communities
Learn how AVEVA Communities ensure secure collaboration with role-based access, full auditability, and complete data ownership control.
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Unlocking the Value of AVEVA PI Data: From Traditional Extraction to Smarter Insights with AVEVA CONNECT
Unlock the value of AVEVA PI data with AVEVA CONNECT. Learn how secure cloud access and smarter analytics drive better…
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What OEMs Need to Know About the EU’s ESPR Requirements
What OEMs need to know about the EU’s ESPR requirements, Digital Product Passports, and how to prepare early for compliance…
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Ecodesign for Sustainable Products Regulation
The EU’s Ecodesign for Sustainable Products Regulation sets the foundation for circular products – with major implications for asset owners…
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Creating Asset Insights in Minutes
How intuitive dashboards in APM Studio turn raw asset data into clear, actionable insights, helping teams detect issues earlier without…
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Why Prompt Engineering Still Matters in the Age of Advanced LLMs?
As LLMs grow more capable, the gap between vague and well-structured prompts matters more – especially in safety-critical tasks where…
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Three Pipelines, One Goal: Comparing Bowtie Diagram Generation Methods
A quick comparison of three pipelines (RAG, OCR and Dual LLM) shows how each transforms different types of FMEA data…
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From FMEA Tables to Bowtie Diagrams: How LLMs Are Changing Failure Analysis
Large Language Models can turn time-consuming FMEA documents into automated Bowtie diagrams, making risk analysis faster and more consistent.
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Ensuring Asset Integrity in the Food and Beverage Industry
How leading Food & Beverage companies use predictive maintenance to prevent equipment failures, improve reliability and cut maintenance costs.
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Easy Insights in Failures, Causes and Expected Consequences
How cause-consequence modelling helps you identify failure patterns, link root causes to consequences and improve reliability with smarter maintenance.
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Risiken von Maschinen und Prozessen in Echtzeit beurteilen
Wie Sie mithilfe von FME(C)A-Analysen und der Bow-Tie-Methode Risiken in Maschinen und Prozessen in Echtzeit erkennen und Ausfallzeiten vermeiden.
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Asset Performance Management on Rotating Assets
How leading companies use predictive analytics on critical rotating assets to prevent failures and achieve significant cost savings.
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Einsatz von virtuellen Sensoren auf allen Ebenen der Automatisierungspyramide
Erfahren Sie in diesem Webinar, wie virtuelle Sensoren auf allen Ebenen der Automatisierung eingesetzt werden – von eingebetteten Lösungen bis…
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Tank Terminals: How to Ensure Asset Availability?
Fluctuating oil demand is pushing tank terminal operators to improve asset reliability and operational efficiency through predictive maintenance.
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Digitale Services entwickeln – Blaupause für Maschinenbauer
Warum 95% der Maschinendaten ungenutzt bleiben – und wie Hersteller daraus digitale Services mit echtem Mehrwert entwickeln können.
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Using Streaming Data from your Assets to Prevent Outages
Streaming data helps detect failures early and reduce downtime. We share real strategies to turn live industrial data into preventive…
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Wie kann Condition Monitoring Ihr Unternehmen verändern?
Condition-based Monitoring macht Maschinendaten nutzbar, für bessere Entscheidungen und neue digitale Services in Wartung und Produktion.
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Edge Computing: Why Should You Care?
Edge Computing supports faster maintenance decisions by processing asset data directly at the source.
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UReason Joins Forces with FCoE, Smart AIS & Samp to Build a Smarter Flow Facility
This collaboration shows how UReason supports smarter maintenance through industrial visualization, combining 3D scans, asset data, and live insights.
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Change Management in Organizations: Becoming Data-Driven
Discover how change management and continuous data help teams shift from reactive to predictive maintenance—boosting reliability and cutting costs.
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Instandhaltung 4.0 – Fehler machen und darüber reden!
Maintenance 4.0: Lernen Sie aus gescheiterten Predictive Maintenance Projekten und vermeiden Sie teure Fehler in Ihren IIoT-Initiativen.
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How to Turn Data From Your Process Historian Into Value
Turn process historian data into insights to boost performance, reduce costs, and prevent downtime with proven strategies.
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Wie entwickeln Maschinenbauer und OEMs data driven Services
Entdecken Sie, wie Maschinenbauer mit data driven services Ausfälle senken, unbemannte Zeiten nutzen und Effizienz steigern.
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Analytical and Machine Learning Models on Live Streaming Data
Learn how predictive maintenance machine learning detects issues early and drives smarter decisions with real-world deployment tips.
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Wie Daten die Instandhaltung planbarer machen?
Optimieren Sie Ihre Instandhaltung mit einer datenbasierten predictive maintenance strategy – vermeiden Sie Ausfälle und senken Sie Kosten.
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Using Data to Make Maintenance More Predictable
Discover a predictive maintenance strategy that transforms asset data into action. Improve uptime and reliability with smart insights.