The Data-Driven Value Chain: Predictive Analytics with CRM and ERP 📊 Did you know? A study on real-time data integration platforms revealed that organisations can reduce their average response time to supply chain disruptions from 5.2 hours to just 37 minutes. A Unified Data Landscape The modern value chain is a complex ecosystem where every component is interconnected, […]
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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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Still Confused in 2025? AI, ML & Data Science Explained…finally It seems everyone in business circles talks about these days. AI will solve all our business challenges and make/save us a ton of money. AI will replace manual labour with clever agents. It will change the world and our business will be at the forefront
Still Confused in 2025? AI, ML & Data Science Explained Read More »
Manufacturing is all about getting the most out of automation, skilled workforce, and data. Data helps drive the decisions that keep everything running smoothly
The Art of Assembly: Where Data Meets Conveyors Read More »
No company is immune from the pains of data integration. It is one of the top IT cost items. Companies must get on top of their integration effort.
Saving Cents on Data Sense: Less Cost, More Value Read More »
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 »