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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

In this presentation, Christopher Tonk will explore the transformative potential of the Board Quality Advisor solution in enhancing the man-machine interface within manufacturing operations. Focused on increasing production efficiency and quality, this innovative approach leverages machine learning and operator guidance to optimize carton board machine operations. Through practical examples and insights, attendees will gain aRead 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 calculate sales velocity and lead time in the context of demand forecasting?  How to select the right data sets for more accurate forecast models?  How to continually refine the forecasting results?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

What are your IIoT & AI use cases in SCM and Manufacturing? How do we identify the right use cases? How do we choose the right technology for the right purpose? How do we implement IIoT, AI and GenAI in SCM and Manufacturing? Think big start small? How do we scale and orchestrate the roll-out?Read more

How can we rethink our approach to adopting leading edge technology and look beyond the hype to understand and ensure the investment returns a proper ROI. Expected results: Lessons learned Does and Don’ts Prioritizing most urgent challenges Rating relevant industry trends Best practices for implementing Joint industry assessment today Industry innovation strategy Experience a Business Value DesignRead 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

What are the effects of geopolitical instability in regions such as the Middle East or Eastern Europe on energy supply and prices?  How does the geopolitical situation contribute to changes in global supply chains, and how is the economy affected by this?  To what extent do geopolitical developments change the competitiveness of European companies inRead more