Strategic Data Advisory for Companies, Leaders and Organisations.

Founder, AI Governance, Data Protection & Privacy Law

Beniamino Santoro is the founder of GovernData, where he advises organizations on data protection, artificial intelligence, and information security. His work spans complex regulatory frameworks, including the GDPR, ePrivacy Directive, EU Data Act, EU AI Act, US CCPA/CPRA, and China’s Personal Information Protection Law (PIPL), with a particular focus on matters involving significant legal, regulatory, and operational consequences. He advises on high risk processing, international data transfers, AI governance across the system lifecycle, regulatory risk, incident response, and privacy due diligence in M&A transactions.

He advises on high risk processing, international data transfers, AI governance across the system lifecycle, regulatory risk, incident response, and privacy due diligence in M&A transactions.

Beniamino has been selected as a Legal Expert in New Technologies for the European Data Protection Board’s Support Pool of Experts. In this capacity, he provides the EDPB and national supervisory authorities, on an ad hoc basis, with legal and technical analysis on the data protection implications of artificial intelligence, cloud services, and digital platforms.

He serves as Group Data Protection Officer and AI Legal Lead at EveryMatrix, where he leads the Group’s privacy and AI governance framework across EMEA, APAC, LATAM, and North America, with independent reporting to the Board of Directors. His responsibilities include the review and sign off of high risk processing activities and new AI use cases prior to deployment.

Previously, Beniamino played a key role in developing and implementing the group wide data protection framework for Hili Ventures, a diversified holding group that holds the developmental licence for McDonald’s across six European markets and operates businesses in shipping, logistics, oil and gas, and engineering. Across twenty-five operating companies, he established standardized processes for international data transfers and audits, brought more than 100 vendor contracts under a common review standard, and implemented a unified methodology for assessing high risk processing activities.

Earlier in his career, as Head of Data Privacy, Data Protection Officer, and Chief AI Officer of an international technology group, Beniamino established an AI governance framework aligned with ISO/IEC 42001, led the resulting conformity assessments, and directed the group’s EU AI Act readiness programme, serving as its principal liaison with supervisory authorities.

Beniamino also teaches privacy law to postgraduate students and has lectured at institutions including Goethe University and the Leibniz Institute. His experience spans SMEs, startups, multinational groups, and privacy technology providers, giving him a broad perspective across regulatory strategy, governance, and implementation. He combines cross jurisdictional compliance experience with international standards to strengthen governance, manage regulatory risk, and support effective implementation.

He holds an LL.M. from Maastricht University and works professionally in English, Spanish, and Italian.

Principal Technical Expert, AI, Learning Analytics & Multimodal Technologies

Daniele Di Mitri is Professor of Multimodal Learning Technologies at the German University of Digital Science, where he leads the Augmented Feedback research group and coordinates the MSc in Advanced Digital Realities. He is also an associated researcher at the DIPF Leibniz Institute for Research and Information in Education.
He holds a Master’s degree in Artificial Intelligence from Maastricht University and a PhD in Learning Analytics from the Open University of the Netherlands. His expertise lies in designing and developing intelligent data-driven systems and informatics architectures that leverage machine learning, data science, and multimodal analytics.

His work focuses on collecting, integrating, and analysing complex data sources, including sensor data, to build predictive models and actionable insights. He has extensive experience in developing end-to-end solutions, from data pipelines and machine learning models to interactive dashboards and visualisation systems that support decision-making in educational contexts.

His research also encompasses deep learning and generative AI, with a particular interest in how advanced models can be responsibly integrated into human-centred learning environments. This includes designing AI-assisted feedback systems that are scalable, interpretable, and aligned with emerging data governance and ethical AI frameworks in Europe.

Daniele Di Mitri actively contributes to European research and innovation initiatives on AI in education and data governance. He is a member of the Society for Learning Analytics Research (SoLAR), contributes to the CrossMMLA community, and serves as Chair of the Special Interest Group on Multimodal and Immersive Learning Experiences (MILES) within the European Association for Technology-Enhanced Learning (EATEL). In 2021, he was recognised as an “AI Newcomer” by the German Informatics Society.

Head of Engineering & Technology

Emmanuel Yamil Fajouri is a Systems Engineer and technology leader with international experience across Argentina, Uruguay, Spain, the United States, Italy, Malta and Estonia.

Throughout his career, he has worked on technology and digital transformation initiatives for global companies, public institutions and international organisations, including projects involving Deloitte, Fox International, YOOX, Mercadona and Betsson, as well as public-sector institutions such as the Prosecutor’s Offices of Rome and Salerno.

His professional experience spans the design, delivery and modernisation of business-critical systems, digital platforms and technology-enabled services. Over the course of his career, he has led engineering initiatives, coordinated multidisciplinary teams, supported organisations through complex technology decisions, and translated business and operational requirements into solutions that can be effectively implemented, governed and scaled.

Working across large multinational organisations, regulated industries, public institutions, startups and growing technology businesses has given Emmanuel a broad understanding of the factors that shape technology decisions. His experience combines technical considerations with an appreciation of organisational structures, regulatory requirements, risk, data governance, operational constraints and business priorities.

Today, at GovernData, Emmanuel leads Engineering & Technology, supporting clients across technology strategy, solution architecture, digital transformation, AI adoption, system modernisation, technical due diligence, and the development and delivery of new digital products and services.

A central part of his work is helping organisations move from strategy to execution. This includes assessing existing technology environments, identifying risks and opportunities, defining realistic transformation roadmaps, and ensuring that new systems and solutions can operate effectively in real-world business and operational contexts.

He also advises organisations on the practical adoption of artificial intelligence, helping them identify meaningful use cases, integrate AI into existing processes and establish the technical and organisational foundations necessary for responsible, sustainable and scalable deployment.