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By implementing full traceability, no-touch-automation and automated data flows, we can follow each individual item in time and space in our internal process flow using dedicated applications. This includes very detailed information from every process step in our internal production providing deep insight into the connection between product properties and processes/materials, all in an iterativelyRead more

Ensuring high process performance and product quality requires more than just historical data analysis—it demands real-time insights. Process analytics, predictive quality, and Digital Twin technology enable manufacturers to proactively monitor, test, and optimize production processes. This session explores how real-time testing can drive efficiency, reduce defects, and enhance decision-making through AI-driven predictions. Why is real-timeRead more

This presentation explores how Kardex leverages Industrial Internet of Things (IIoT) technologies to drive smarter, data-driven decisions in intralogistics. Focusing on Kardex’s Analytics portfolio, we will highlight the customer value generated through real-time insights, address current challenges, and provide a glimpse into future developments shaping the digital factory. How to gain actionable insights from Kardex’sRead more

Get tea, get snacks, make connections and talk with your peers – and have the chance to actively participate in product and service demos on the expo floor.Read more

Adding value = driving a wedge between cost to produce and customer willingness to pay. How can we lower cost with digitalization / IoT strategies? For which benefits would a customer actually pay a premium? How can we address the market fragmentation at IoT solutions? How do we keep the costs of being “yet anotherRead more

Stora Enso´s future mill vision and approach puts the human being in the center which will be supported by new ways of working, remote operations, digitalization, competences and capabilities. Stora Enso´s “Quality Advisor” solutions are a prime example of innovation and collaboration. They offer tailored solutions for various production areas and set new standards inRead more

Specialist workers are trained on machines, hardware and partly software but not on data – how can this be addressed? What is working well and what not? How should digital tools (e.g. machine learning for process control) be implemented? What level of involvement of shopfloor staff is beneficial? When and how to engage shopfloor staffRead more

In large parts of industry, data has been used for years to optimize production processes. Individual process steps are optimized, logistics efficiency is increased and waste production is minimized, usually under the buzzword “digitalization”. There are hardly any limits to the imagination within a company. The only limiting factors are the quality of available data,Read more

How to select the right data sets for more accurate forecast models?  How to continually refine the forecasting results? What is behind the forecasting?Read more

This presentation introduces the reference architecture deployed at Siemens DI, focusing on AI model training in the cloud and decision making at the edge. The Internet of Things (IoT) holds significant business potential due to immediate process improvements and the possibility of autonomous decisions. Reference Architecture deployed at Siemens DI AI Model Training on CloudRead more