Quality Control Reimagined: Cloud, the Fusion of Legacy Data and Vision AI 🏭 Did You Know? Over 80% of manufacturing and quality data is considered ‘dark’ inaccessible or siloed within legacy on-premises systems, dramatically hindering the deployment of real-time, predictive Quality Control (QC) systems like Vision AI. Quality Control Reimagined The core concept of modern quality […]
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Predictive Aircraft Maintenance: Consolidating Data from Engine Sensors and MRO Systems 🛫 Did you know that leveraging Big Data analytics for predictive aircraft maintenance can reduce unscheduled aircraft downtime by up to 30% Predictive Maintenance: The Core Concept Predictive Maintenance (PdM) in aviation is the strategic shift from a time-based or reactive approach to an ‘as-needed’ model,
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PoC to Production: Accelerating AI Deployment with IOblend 💭 Did You Know? While a staggering 92% of companies are actively experimenting with Artificial Intelligence, a mere 1% ever achieve full maturity in deploying AI solutions at scale. The AI Production Journey A Proof of Concept (PoC) in AI serves as a small-scale, experimental project designed
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The Urgency of Now: Real-Time Data in Analytics ✈️ Did you know? Every minute of delay in airline operations can cost as much as £100 per minute for a single aircraft. With thousands of flights daily, those minutes add up fast. Just like in aviation, in data analytics, even small delays can lead to big
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Operational analytics involves processing and analysing operational data in “real-time” to gain insights that inform immediate and actionable decisions.
Operational Analytics: Real-Time Insights That Matter Read More »
Data must be fresh, i.e. readily available, relevant, trustworthy, and current to be of any practical use. Otherwise, it loses its value.
Keeping it Fresh: Don’t Let Your Data Go to Waste Read More »
The real power of IoT lies in the data it generates in real-time. This data is continuously analysed to derive meaningful insights, mainly by automated systems.
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All enterprise data should be discoverable, catalogued and made available for analytics. But the reality is quite different. Data silos are a persistent issue.
Breaking Down the Walls: Overcoming Data Silos Read More »