Machine learning (ML)

Machine learning is a sub-area of artificial intelligence (AI). It enables computers to learn and become more efficient without having to be explicitly programmed. This gives machines the ability to analyse data, determine trends and adapt independently to circumstances. ML learns from data and experience. This allows processes to be improved, patterns in business processes to be recognised and decisions to be made


Areas of machine learning

  • Supervised learning: Models are trained with labeled data.
  • Unsupervised learning: To recognise patterns, models are trained using unlabelled data.
  • Reinforcement learning: An agent makes decisions and receives feedback.
  • Semi-supervised learning: The combination of supervised and unsupervised learning.

Machine learning increases productivity and efficiency by automating repetitive tasks. This transforms business processes and creates space for creative solutions. Teams can focus more on strategic and creative challenges. Automated learning not only maximises resource utilisation, but also creates opportunities for in-depth analytical solutions.

Further links:

Connected Workers: A Guide to Digital Transformation on the Shopfloor.