Imagine it's Monday, 9:00 AM. The management team opens its KPI dashboard to analyze last week's performance. But there's a problem: the graphs are empty or, worse, show figures [...]

The manufacturing industry is closing a 2025 marked by unprecedented technological acceleration. Plants have made strides in digitalization, automation, and sustainability as they try to adapt to an increasingly [...]

At AppliediT, we are part of OptimCPD, an experimental development project within the Connected Industry 4.0 initiative, funded by the Spanish Ministry of Industry and Tourism. The project addresses one [...]

In today's business landscape, companies depend on robust data pipelines for decision making. However, with the increasing volume and complexity of data, ensuring its reliability is a major challenge. This [...]

Today I want to share with you a little bit of our history, where we are now, and how we see the exciting future ahead, both for AppliediT and the [...]

Most plants already track every sensor, cycle time, and defect. Descriptive analytics turns that history into tidy dashboards—useful, but backward-looking. Prescriptive analytics adds the missing piece: Algorithm-driven advice on [...]

Today, competitiveness and customer demand are the two pillars marking the next steps. The ability to solve complex problems has become a key differentiator for organisations. Quality management relies [...]

In any production plant, operations, quality, and maintenance teams face constant challenges. Efficiency losses, unexpected stops, quality problems... Every day brings with it new questions that need quick and [...]

In today's competitive business landscape, operational efficiency is paramount for long-term success. OPEX (Operational Excellence) solutions are designed to optimize processes, reduce costs, and improve quality, all while maintaining [...]

In the world of manufacturing, operational efficiency does not start when the machines are up and running, but long before. At AppliediT, we have developed the concept of (Pre)Ramp-up, a [...]