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AI Beyond the Buzz

How Engineers Apply AI in Real-World Projects

22nd of July | 11 AM | Live Stream

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AI Beyond the Buzz: Best-Practice for Data-Driven Engineering

In this particularly hands-on edition of Blueprint – The Digital Engineering Talk, you'll discover how the intelligent combination of simulation, physical testing and AI leads to faster and more informed decisions in engineering projects. Host Sarah Yvonne Elsser will guide you step by step through a real-world project from the company APC - from the initial idea and the proof of concept to scaling the output company-wide and evolving the solution further.

Ana Luiza Pinto Queiroz, a technical decision-maker at APC, offers exclusive insights into the project: What was APC's starting point with simulation and testing? How did they identify the potential for using AI in the particular project? How was the proof of concept structured, implemented, and validated? How were the relevant data collected and prepared, and how were models derived from there? What challenges and milestones shaped the project? How were AI tools developed and rolled out internally? And what are the next steps? 

The discussion will be enriched by Kevin Cremans, AI expert and CTO at PI Probaligence. Having supported the APC project directly, he brings valuable perspectives from numerous industrial AI initiatives — tailored especially to engineers seeking practical and scalable solutions.

Look forward to authentic insights, real-world experiences, and concrete learnings you can directly apply to your own engineering challenges.

Live from the CADFEM headquarters – hosted by Sarah Yvonne Elsser.

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About the Format

The Digital Engineering Talk offers valuable inspiration to drive smarter decisions and advance your Digital Engineering initiatives. Together with leading industry decision-makers and innovators, we dive into today’s most pressing challenges — and explore actionable solutions. Get ready for a wealth of real-world insights, success stories, and best practices — streamed live from the CADFEM headquarters and hosted by Sarah Yvonne Elsser.

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Our Topics and Guests

How can AI potential be identified?

How can you assess whether AI makes sense for your specific challenge? And what are the next steps once that potential has been recognized?

How does a successful proof of concept look?

How do you validate your AI approach early on? What technical and organizational hurdles need to be overcome? How do you transition from PoC to real-world application?

How can AI solutions grow and deliver value?

What are the next steps after the first project success? How do you further develop, optimize, and scale AI applications? How do companies keep innovation moving beyond the first use case?

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Ana Luiza Pinto Queiroz

Digital Engineering Technical Lead

APC

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Kevin Cremanns

Co-Founder & Chief Research and Development Officer

PI Probaligence

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What to Expect

Real Insights

Get firsthand experiences and strategies from industry pioneers.

Practical Inspiration

Discover best practices you can apply directly to your digital engineering processes.

Active Participation

Blueprint is interactive — your opinion matters! Share your thoughts in live polls and discussions.

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Welcome to Blueprint

Blueprint is the talk format where host Sarah Yvonne Elsser meets decision-makers from industry and development to tackle the major challenges of digital transformation.

Tailored for professionals and managers from small and medium-sized enterprises, Blueprint provides fresh impulses for smarter decision-making — reaching far beyond simulation topics.

Broadcast live from CADFEM headquarters.

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eBook: How to Effectively Integrate AI into Product Development

Our eBook is much more than an introduction to the world of AI. It delves deep into central topics and offers an abundance of information. Our goal is to not only provide high-level insights, but also in-depth knowledge you can directly apply to your practice. 

From using AI in both the cloud and on-premises, to precise probability calculations in simulations, and rapid and effective AI model training - we cover all relevant aspects. 

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