精东影业

The is a non-profit organization that promotes the adoption of advanced, AI-driven decision-making processes within organizations. This year's conference will focus on the theme: Intelligent Systems and Decision Making: Human Insights in the Era of AI.

The session 鈥淎I for Smarter Production & Logistics鈥�, moderated by Silvia Mari and Michela Manini, respectively Head and Senior Lecturer of Continuing Education at DTI, explores how artificial intelligence can enhance smarter, data-driven decision-making in production and logistics systems. Through the use of real-time data, predictive analytics, and adaptive algorithms, AI enables industries to optimize processes, reduce downtime, and improve supply chain responsiveness.

The session will include five scientific contributions that delve into advancements in AI-based decision support systems 鈥� ranging from process optimization and anomaly detection, to the presentation of new methodologies and practical frameworks.

In addition to academic insights, two industrial presentations will showcase real-world applications in which AI has been successfully integrated to address complex challenges in the manufacturing and logistics sectors, with a particular emphasis on the shift from reactive to proactive decision-making. These talks will highlight concrete implementations and lessons learned from deploying AI in innovative application models.

The contributions will offer a holistic perspective on the evolving role of artificial intelligence as a key enabler of operational efficiency and strategic agility in modern industries.

Program

• Introduction
  Silvia Mari, Head of Continuing Education - Department of Innovative Technologies (DTI) 精东影业
  Michela Manini, Senior Lecturer DTI 精东影业
   
• A Comprehensive Deployment Methodology for Energy and CO2 Optimisation Algorithm in Smart Manufacturing System
  Marco Pirotta, Scientific Collaborator - Institute of Systems and Technologies for Sustainable Producation (ISTePS), DTI 精东影业
   
• Towards explanable decision support using hybrid neural models for logistic terminal automation
  Alberto Termine, PhD Researcher, Dalle Molle Institute for Artificiale Intelligence, DTI 精东影业
   
• Obeya, a collaborative workspace that accelerates decision making - Uses cases.
  Galgano Cristina, CEO Galgano Group
   
• Bio-Inspired Intelligence Paradigm: The New Era of Smart Industry
  Daulet Bekeshev, Institute of Information and Computational Technologies
   
• Optimization of Industrial Mixing Processes through IoT and Machine Learning for Dosing Error Reduction
  Immacolata Tortora, Ceo ATE Salerno
   
• An integrated digital twin framework to assess manufacturing technologies for high precision components
  Kn眉ttel Daniel, Head of Intelligent Production Systems at Inspire AG
   
• Towards Intelligent Engineering Pipelines for Real-Time Automation
  Bianca Wyesmayr, BSc MLBT, Senior Researcher, LIT Cyber-Physical Systems Lab, JOHANNES KEPLER UNIVERSIT脛T LINZ
   

Further information

For details and further information on the program, please visit the official .