Discover insights from Professor Robert Schmitt on the evolving role of data and AI in quality management, including practical tips for professionals seeking to enhance their processes.
A new podcast episode of Carsten’s Corner was published on May 16, 2024:
Overview:
Professor Robert Schmitt from RWTH Aachen shares insights on the future of quality management, emphasizing the role of data and artificial intelligence in enhancing processes and decision-making. This episode is essential for those in quality management seeking to adopt innovative approaches.
Core content:
- The increasing importance of data availability and its processing in quality management is highlighted by Professor Schmitt.
- Artificial intelligence is explored as a tool for improving predictions and decision-making in quality management practices.
- Discussion on the integration of new methods to boost efficiency and quality in production processes.
- The shift towards data-driven quality management practices presents both opportunities and challenges.
- Future competencies and requirements for quality managers are addressed, emphasizing the need for modern skills.
Learnings:
- Understanding the critical role data plays in evolving quality management systems and practices.
- Insights on the application of AI in quality management and its potential impact on predictions and decisions.
- Practical tips for implementing data-driven decision-making methods in organizational contexts.
- Exploration of competencies necessary for quality managers in an increasingly data-focused landscape.
- Clarification of the distinctions between quality assurance and quality management roles.
The original content was published in German.