Part1. From Data Foundations to Agentic Systems: The Technological Pillars of Trustworthy AI
1. Talk to Your Data: Conversational Analytics and AI-Driven Data Interaction in Modern Intelligent Cloud Data Platforms
2. What Classical Analytical AI Teaches Us About Delivering Business-Ready Generative AI
3. Risk-Management Practices to Manage Digital-Sovereignty Concerns Part2. Applied Intelligence in Education and Business: Human?AI Collaboration in Practice
4. AI Support in Higher Education: The Preliminary Comparative Study Across the Polish Universities
5. Doing business with AI: how small organizations use technology to level up?
6. AI-Supported Discovery: Helping Product Teams Frame the Right Problems Part3. From Compliance to Resilience: Governance, Culture, and Circular Models
7. Beyond the Model: Behavior, Culture, and Ethics in Industry
5.0
8. Designing AI-Resilient Organizations: AI-Based Circular Models and Human-AI Integration Strategies
9. Navigating Complexity in AI-Driven Industry
5.0: A Systems Approach to Human-Centric Digital Transformation Part4. Culture, Trust, and Ethics-by-Design in the AI Economy
10. Adaptation and AI-Driven Marketing in the Context of Trust in Data Privacy: The TEMU Case. A Poland?China Comparison
11. Ethics Inside: A Socio-Technical Framework for the Moral Architecture of Artificial Intelligence
12. The policy on the use of Artificial Intelligence tools at selected Higher Education Institutions