Trainer

Prof. Sotirios Bersimis,
Department of Business Administration, University of Piraeus

Prof. Sotirios Bersimis combines academic excellence in statistics, artificial intelligence and business analytics with extensive senior management experience in healthcare, digital transformation and strategic decision-making. His expertise spans industrial and health statistics, business analytics, process monitoring, innovation, organizational change and data-driven management. His academic work includes more than sixty publications in international scientific journals, five books and over seventy presentations at international conferences, while his teaching covers areas including Business Analytics, Industrial Statistics and Health Statistics.

Beyond academia, Prof. Bersimis has held major executive and public-sector leadership positions. He served as President and CEO of the Hellenic Organization for Health Care Services Provision (EOPYY), one of Europe’s largest social security organizations, responsible for healthcare services for approximately 11 million citizens and an annual budget of €5.5 billion. He also served as President of the European Healthcare Fraud and Corruption Network and as Managing Director of Bioiatriki Healthcare Group. Across these roles, he applied statistics, real-world evidence, process reengineering and digital transformation to improve organizational performance, quality and decision-making.

For his professional contribution, he received the 2018 Best Manager Award from the European Network for Business and Industrial Statistics (ENBIS), recognising his advancement of statistics in management. His distinctive combination of academic rigor, executive leadership and hands-on experience in analytics-driven transformation enables managers and organisations to translate complex data into practical strategic decisions.

Day 1

1. Decision Intelligence and AI-Driven Management Frameworks (3 h)

• Introduction to Decision Intelligence
• Decision Intelligence lifecycle
• Data-driven decision-making vs intuition-based management approaches
• Overview of decision intelligence platforms
• Case study
• Workshop
• Discussion

2. Predictive Analytics Applications for Strategic Planning (3 h)

• Predictive Analytics
• Introduction to AutoML
• Demonstration of internationally used tools
• Explanation of how such tools can reduce decision-making time in international companies 
• Case study
• Workshop
• Discussion

Day 2

3. Generative AI Applications for Managerial Productivity(3 h)

• Generative AI
• Demonstration of internationally used tools: ChatGPT Enterprise, Microsoft Copilot, Notion AI
• Explanation of productivity gains achieved internationally
• Prompt Engineering
• Process Mining 
• AI limitations: Hallucinations
• Case study
• Workshop
• Discussion

4. AI Innovation Strategy, Governance and Risk Management (3 h)

• AI Innovation Strategy
• AI governance frameworks
• Risk management practices
• Case study
• Workshop
• Discussion

Please note that this is a compulsory follow-up consultation session for all participants who need to attend at least 90% to be eligible for the HRDA subsidy. This 4h follow-up workshop session will be held on a mutually agreed date with each participating company, within 4 months following the last day of the training. The session must be held at the registered address of the company’s premises. During the in-house session, the trainers will follow a structured consulting approach to understand each participating organization and company and identify opportunities for practical application of the methodologies presented during the institutional (theoretical) part of the program. Initially, the trainer will collect information about the organizational structure, reporting lines, decision-making processes and the roles of key departments. This will help identify how strategic and operational decisions are currently made and how data is utilized within the organization.