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Future of Quality Management: Data and AI Insights

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.

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