The Editorial Board of Trusted Data and AI brings together distinguished experts from academia, industry, and research who share a common vision: advancing trustworthy knowledge in the fields of data, artificial intelligence, and digital transformation.
Reflecting the interdisciplinary nature of the journal, our board represents expertise across the technological, organizational, and human dimensions of Trusted Data and AI. This breadth of perspectives enables the journal to bridge research and practice while fostering contributions that are scientifically grounded, practically relevant, and impactful across industries.
Through their expertise and commitment, our Editorial Board supports a rigorous and constructive review process while helping shape the strategic direction of the journal. Together, they foster a platform where innovation meets trust, and where ideas can create meaningful impact across disciplines and industries.
Dr. Michael Hahne focuses on helping organizations unlock business efficiency through data-driven decision-making. In a world overflowing with data, he addresses a central challenge: how companies can use data effectively to make smarter decisions, streamline operations, and reduce costs.
As founder of Hahne Academy and Hahne Consulting, Dr. Michael Hahne supports organizations in becoming future-ready through a combination of practical Business Intelligence (BI) consulting and hands-on training. His work includes tailored in-house training programs, the effective implementation and optimization of data warehouse solutions, and strategic BI consulting designed for sustainable, long-term success.
In addition to his work with organizations, Dr. Michael Hahne is dedicated to empowering professionals to build strong data literacy and advance their careers. Through flexible online courses, certifications, and real-world, case-based training, he equips individuals with the practical BI skills needed to stay competitive in today’s job market.
What distinguishes his approach is the consistent focus on real-world impact. Rather than emphasizing abstract theory, Dr. Michael Hahne combines consulting and training in a way that allows knowledge to be applied directly within business contexts. His programs are designed for both companies and professionals who want measurable results, supported by years of hands-on experience in Business Intelligence and data warehouse optimization.
Whether working with organizations seeking to improve their BI strategy or individuals aiming to strengthen their data expertise, Dr. Michael Hahne’s mission is to make data actionable, accessible, and valuable—laying the foundation for smarter decisions and sustainable growth.
Erik Fransen helps organizations strengthen their data foundations so AI can deliver real, measurable value—beyond isolated pilots.
He serves as Founder of Vista Veritas Data & AI Services, Ambassador and Guest Instructor for Connected Data Group and Connected Data Academy, Board Member at DAMA NL, and Instructor of Applied AI at the University of Applied Sciences Utrecht. Across these roles, Erik Fransen operates at the intersection of strategy, governance, technology, and education.
He supports organizations and data professionals in turning data and AI ambitions into operational reality. Rather than focusing on hype, standalone frameworks, or tool-driven approaches, Erik Fransen works closely with Data Managers, CDOs, and data teams to create clarity, control, and confidence across the data and AI landscape.
Erik’s work centers on translating data governance and data management from theory into everyday practice, enabling leadership teams to build AI-ready organizations by first establishing strong data foundations. He designs pragmatic governance models that accelerate decision-making, bridges gaps between business, IT, and analytics teams, and actively develops people and communities through training, certification, and hands-on education.
Whether addressing data quality, ownership, regulatory requirements, AI readiness, or the responsible scaling of analytics, Erik Fransen focuses on making data visible, usable, and trustworthy—so organizations can move faster with less risk.
He is guided by the belief that sustainable AI starts with robust data management, clear accountability, and a shared understanding across the organization.
Roland Markowski advises executives and organizations on the strategic adoption of AI, with a clear focus on ROI, GDPR and EU AI Act compliance, neutral AI platform selection and briefing, and operational feasibility. His approach avoids buzzwords and tech hype—focusing instead on one central question: what tangible value does AI deliver to a business, and how can it be measured?
His core areas of expertise include:
→ AI strategy and roadmap development for mid-sized companies
→ ROI calculation and business case development
→ Agentic AI and autonomous process automation
→ GDPR-compliant, vendor-neutral AI platform selection (aligned with the EU AI Act)
→ Corporate Brain and enterprise knowledge management
→ SAP Business AI and Customer Experience (CX)
What sets Roland Markowski apart is his systemic way of thinking—he focuses on systems rather than individual tools.
In his view, AI projects rarely fail due to technology. They fail because the ROI is not clearly defined before the first pilot begins, and because leadership teams invest in tools instead of designing effective processes.
His approach is structured and pragmatic: first the systemic perspective, then the architecture, and finally the implementation.
With 28 years of experience in the ICT industry, of which the past 26 years have been dedicated to Data, Business Intelligence, Data Warehousing, Data Management and Analytics, Ferry has built a career at the intersection of process, people and technology. His expertise lies in helping organizations transform data into a strategic asset and bridge the gap between business objectives and practical solutions.
Since 2000, Ferry has worked as a consultant, project manager, advisor, trainer and account manager for organizations across both the public and private sectors. His experience includes central and local government, healthcare, housing corporations, utilities, logistics, financial services and manufacturing, where he has supported organizations in improving their data capabilities and strengthening data-driven decision-making.
In his current role as Head of Connected Data Academy at Connected Data Group, Ferry is responsible for the strategy, development and growth of the Academy. He leads the (international) expansion of a training portfolio covering Data Management, AI, Data Modelling, Architecture and Analytics, while working closely with customers, partners and colleagues to help organizations build lasting data capabilities.
Alongside his leadership role, Ferry remains actively involved in advising organizations and delivering training programmes. Since 2003, he has trained hundreds of professionals in subjects ranging from Business Intelligence and Data Warehousing to Data Governance, DAMA Data Management, AI and the internationally recognised CDMP certification programme. He is a DAMA Certified Data Management Professional (CDMP) and is committed to raising the level of data management knowledge within organizations.
Known for his ability to connect business challenges with technology, Ferry combines commercial insight with deep domain expertise. He enjoys identifying opportunities, building long-term customer relationships and translating complex data challenges into practical, sustainable solutions that create measurable business value.
His core areas of expertise include:
His strong belief is that organizations can only succeed with AI when they first establish a solid foundation in data & data management..
