Short title: EIT M IDS

Long title: EIT Manufacturing: Discovering Data Science

Assignment to our (IMW) research priorities:

  • Digitalization in Manufacturing
  • Data-Driven Maintenance Management
  • Artificial Intelligence for Industrial Applications

Duration: 2023 - ongoing

Abstract:

This comprehensive training program empowers executives and professionals to leverage data science and AI for informed decision-making in today's data-driven world. Participants gain a practical understanding of how to define data-driven problems, source relevant data, and utilize AI tools to enhance business processes.  The program emphasizes developing leadership skills in building and managing data science teams and fostering a data-centric organizational culture, while also addressing the ethical considerations of AI implementation. Through a innovative learning approach, participants explore key concepts like machine learning and data analysis techniques, culminating in hands-on workshops focused on real-world applications and networking.The program emphasizes practical application of theoretical concepts through case studies, interactive exercises and presentations.

Results:

  • Develop advanced data analytics models: Learn to build sophisticated data models specifically designed for the manufacturing industry.
  • Master the CRISP-DM methodology: Gain hands-on experience applying this industry-standard framework to real-world data science projects in a manufacturing setting.
  • Enhance decision-making with data visualization and AI: Discover how to transform raw data into actionable insights using visualization techniques and AI-driven analysis, leading to improved decision-making.
  • Contribute to a community of practice: Share your knowledge and learn from other professionals in the field of industrial data science, establishing a framework for sharing best practices.

Link: Applied Data Science and Artificial Intelligence for Executives | EIT Manufacturing East, opens an external URL in a new window

Partners:

Contact details:

Dipl.-Ing. Andreas Steiner

Email: