About this Training
This course delves into the use of Large Language Models (LLMs) in the field of Corporate Research and Development (R&D). It presents proven methods to use GenAI in innovative ways that go beyond typical applications and aim to increase efficiency and performance. Drawing on tangible instances and case studies derived from our direct experience and collaborative projects with client firms, you will gain insights into the impactful integration of GenAI into your research and development processes.
Why this Training is right for you
Ideal for professionals seeking to leverage LLMs in R&D, this training addresses both the potential and the pitfalls of LLMs, offering insights into secure, impactful applications across your processes.
Training Goals
By the end of this training, you will be equipped with the knowledge on how the effective integration of Large Language Models into your R&D strategies and processes looks like and how it can support you in fostering innovation and productivity.
Learn more about
- Fundamental understanding of LLMs
- Pros and cons of LLMs
- Real LLM applications in R&D
- Best practices and learnings from industrial LLM projects
- LLM use case identification
- Implementation challenges and common pitfalls
Tim Schroeder
Head of Artificial Intelligence
digital@innovation-center.com
Our Partners
Speakers
Tim Schroeder studied Electrical Engineering & Information Technology as well as Business Administration and General Management at RWTH Aachen University. As the Head of Artificial Intelligence at the INC Innovation Center, he led multiple bilateral and multilateral projects in the areas of Industry 4.0, Logistics 4.0, and Artificial Intelligence. Through technology scouting, data analysis, and AI assessments, he assists companies in successfully implementing new innovations.
Tim Schroeder
Zozan Keskin holds a Bachelor of Science inInternational Business and a Master of Science in Business Intelligence &Smart Services from Maastricht University. Her expertise lies in theintegration of Artificial Intelligence solutions to significantly enhancebusiness value at the critical intersection of technology and businessstrategy. She has extensive experience in implementing AI strategies acrossvarious industries, ensuring their successful integration into workflows andbusiness processes. Her long-term international experience, gained in the US,Europe, and now Asia, has strengthened her adaptability and deepened herunderstanding of diverse business environments.
