Dennis van Bregt has built an impressive career as a data scientist, which started in the financial industry and spanned various areas such as logistics, supply chain management and operations management. His expertise in ERP implementations eventually led him into ERP and MDM. With his experience in MDM and content management, he deepened his knowledge in digital analytics. In the last five years, van Bregt has focused on technical aspects of data platforms and pipelines, governance in terms of privacy, security, quality and data literacy, as well as analytics and AI/machine learning, which emphasises his extensive knowledge in data science.

Leonid Torgovitski is a Lead Data Scientist and In-house Consultant at Generali, specializing in advanced data analytics and machine learning. With a doctorate in Applied Mathematics from the University of Cologne, he brings deep technical expertise to developing data-driven solutions that support strategic decision-making and operational efficiency.

Sven Wilbert switched to the banking industry after studying astrophysics in Würzburg. He started in Banking compliance in the UK and moved on to work as an IT Consultant in the area of Big Data with focus on baking. He was involved in various projects in the areas of software implementation, institution mergers and due diligence with focus on Integration Architecture, data management, analytics and reporting. He then worked as lead engineer on the creation of a data analytics platform at NORD/LB. Furthermore, he moved to NORD/LB in the summer of 2020 and has since been working as a data manager with a wide range of tasks in various projects in analytics, data- and bank management. Since beginning of 2024 he is vice lead for NORD/LBs data architecture.

I am currently responsible for the product "Data Platforms", part of the domain "Automatisiertes Fahren, E/E Absicherung, Fahrzeugerprobung" at the BMW Group. Prior to that I was responsible for global data platforms at BMW hosting use cases across multiple domains in the company, like manufacturing, connected Drive, vehicle development, finance or marketing.

Prior to BMW I was leading all global efforts related to Big Data, Personalization and Digital Analytics at PAYBACK which is part of the American Express group.

I hold a PhD and a diploma in Computer Science from the University of Innsbruck / Austria and the University of Passau / Germany respectively.
Since my diploma studies, I developed an interest in intelligent use of data and semantics to drive businesses in multiple industries.

Saad Tariq, currently serving as Lead Data Architect, Global Product Strategy at Roche, brings over 19 years of experience in delivering data-driven solutions across Health Sciences, Finance, Retail, and Telecom sectors in the EMEA region.

With a career spanning roles from developer to product lead, Saad blends technical expertise with strategic leadership to drive growth and innovation.

A certified cloud professional, he specializes in AWS Cloud Architecture, Data Engineering, and Agile Leadership, continually advancing his expertise to stay at the forefront of technology innovation.

Marc Roulet is the Vice President of Data and Analytics at sevdesk, where he leads the Data Science, Data Engineering and Analytics teams as part of the company’s management. In this role, Marc ensures that data is leveraged effectively to drive business growth and operational excellence. With over a decade of leadership experience at companies such as eBay, mobile.de and XING, Marc is a data evangelist at heart, focussed on building high-impact data organizations and fostering a truly data driven culture. His expertise lies in transforming complex datasets into actionable insights and developing data products that deliver measurable value to businesses.
In addition to his role at sevdesk, Marc is the founder of Roulet D&A Consulting, where he serves as a Data & Analytics Consultant. Through this venture, he supports organizations on their data transformation journeys, helping them unlock the full potential of their data ecosystems.

Being a Data Leader puts me at the heart of the company, connecting all areas through data. I thrive on turning data into a strategic asset—driving growth with insights, building ML-powered data products, and enhancing efficiency through GenAI-driven process improvements and product innovation.
Beyond the impact of data, what truly excites me is leading an exceptional team of data engineers, scientists, and analysts. Together, we shape a data-driven organization, fostering innovation and collaboration.
Every day, I wake up energized by two things: the power of data to unlock new opportunities and the privilege of leading a talented team to drive meaningful change.