Implementation of artificial intelligence systems in existing business processes and information systems.

Optimization of intelligent methods in existing systems.

Fundamentals of artificial intelligence

• Objectives: After the workshop, participants will understand different methods of artificial intelligence and be able to place / plan them in a meaningful way in existing business processes.
• Content:
  – basics of artificial intelligence
  – surveyed learning
  – classification
  – regression
  – uncontrolled learning and clustering
  – introduction of artificial intelligence into existing systems
  – examples of use
• Duration: 1 day (8 teaching hours)
• Who is this training designed for: The training is intended for business leaders, planners and developers, R&D specialists.
• Organizer: UM Feri, II
• Lecturers: doc. dr. Sašo Karakatič and prof. dr. Vili Podgorelec
• No prior-knowledge is required

• Mikropis d.o.o.
• MedicoApps d.o.o.
• Mariborski Vodovod
• Informatika d.d.

Mikropis: Implementation of an AI based system designed for the understanding and categorization of text documents.

MedicoApps: Implementation of an AI based system for intelligent stress detection through the use of smartwatch sensors.

Mariborski vodovod: Implementation of an AI based system for the identification of water leakage from the municipality drinking water system.

Informatika d.d.: Implementation of an AI based system for the electricity consumption forecasting.

• Podgorelec B., Turkanović M. and Karakatič S. (2019): A Machine Learning-Based Method for Automated Blockchain Transaction Signing Including Personalized Anomaly Detection.
• Kamišalić A., Fister I., Turkanović M. and Karakatič S. (2018): Sensors and Functionalities of Non-Invasive Wrist-Wearable Devices: A Review.
• Karakatič S. and Podgorelec V. (2015): Improved classification with allocation method and multiple classifiers.