Blog

REFRESHMENT BREAK & NETWORKING

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

(5) Investment Café: How to connect Digitalization / IoT with a real added value for your enterprise?

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

Case Study: How Can AI-Driven Quality Control Redefine the Future of Manufacturing?

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

(6) CHALLENGE YOUR PEERS: How to drive user adoption and acceptance of shopfloor workers when digitalizing shopfloor management

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

Case Study: Unlocking Industry Potential – Integrating the Value Chain

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

4 | Icebreaker Session: How to improve predictions in manufacturing?

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

Case Study: AI Driven Decision Making from Edge to Cloud

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

(4) World Café: What are the challenges of implementing and utilizing IIoT & AI in the context of Supply Chain Management and Manufacturing?

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

(5) World Café: Rethink a new Industry approach for adopting leading edge technology

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

Case Study: AI Driven Decision Making from Edge to Cloud

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