Date: April 23, 2026
Location: Ingelheim am Rhein
Price: € 690.00
April 23, 09:30 – 09:45 am
Opening
Carsten and Harsha welcome you to the summit, outline the day ahead, and share insights on where Boehringer Ingelheim stands on its data culture journey; setting the stage for a day of learning and collaboration.
Harsha Deshmukh, Member of the Board of Managing Directors | Boehringer Ingelheim
Harsha Deshmukh, born in Mumbai and holding degrees in Electronics, Human Resources, and Global Management, brings decades of global technology and leadership experience. Now leading IT and Global Business Services at Boehringer, he aims to strengthen the company’s digital backbone, drive innovation, and accelerate the transformation journey. With a passion for technology that traces back to his first Atari console, Harsha combines deep technical expertise with a people‑focused mindset to enhance collaboration, modernize digital capabilities, and support sustainable long‑term growth.
Dr. Carsten Bange, CEO & Founder | BARC
Dr. Carsten Bange is the founder and managing director of BARC. He is one of the leading experts in the successful implementation of information technology for business intelligence & data management within the framework of the transformation to data-driven companies. As a neutral market observer he has been the coach & strategy consultant for companies of the most varied industries, frequent speaker at conferences, seminars and the author of numerous industry publications and market studies.
April 23, 09:45 – 10:15 am
The State of Data Culture
Dr. Carsten Bange, CEO & Founder | BARC
Dr. Carsten Bange, renowned data culture expert, provides insights into the status quo of data-driven organizations. He addresses current challenges companies face in their transformation journey and highlights opportunities for building competitive advantage through strong data cultures.
April 23, 10:15 – 10:45 am
Keynote Discussion: Embedding Data Culture
Lessons and Outcomes from Boehringer Ingelheim’s Leadership & Data Culture
Three distinct perspectives converge: the clinical lens on turning data into patient value and anchoring strategy to business outcomes, the technology view on building scalable AI platforms and analytics capabilities, and the governance angle on ensuring data quality, trust, and effective acquisition.
Discover how these perspectives align to drive real data culture transformation and what it takes to make collaboration work.
Till Eggers
Head of AI & Analytics, IT-Enterprise Data, AI & Platforms
Head of AI & Analytics, IT-Enterprise Data, AI & Platforms
Jutta Schubert
Head of Data Acquistion & Governance
Head of Data Acquistion & Governance
Feryal Tanriverdio
Head Medicine Data and AI
Head Medicine Data and AI
April 23, 10:45 – 11:15 am
Our journey to a new approach of supply chain decision making
The implementation of a Digital Supply Chain Twin for simulation and optimization.
In today’s increasingly complex and fast-paced business environment, supply chain decision-making must adapt to meet the demands of agility, resilience, and efficiency. At Boehringer Ingelheim, we are working to enhance our Human Pharma Supply Chain Operations by implementing a Digital Supply Chain Twin—a virtual representation of our supply chain ecosystem designed to support simulation, optimization, and data-driven decision-making.
This presentation will provide attendees with an overview of our progress, including the challenges we have encountered, the opportunities we have identified, and our strategic approach to scaling the digital twin. By sharing our pilot experience and roadmap, we hope to contribute to the broader conversation around the potential of digital twins in supply chain decision-making. In the presentation, we will:
- Demonstrate how integrating data from multiple sources across the supply chain enables the digital supply chain twin to create a unified view of operations, supporting actionable insights and allowing for the testing of decision-making strategies in a virtual environment.
- Discuss the business potential and key benefits of the digital twin, such as improved visibility, enhanced scenario planning, and greater agility in responding to market dynamics.
- Outline the steps taken to design the pilot, emphasizing the integration of established operations research techniques with emerging AI technologies to support smarter and more autonomous decision-making.
- Share implementation insights and lessons learned from real-world deployments, focusing on critical areas such as stakeholder engagement, addressing data integration challenges, and aligning the digital twin’s capabilities with business needs.
Christian Petri, HP PS & GQ Supply Chain Management | Boehringer Ingelheim
Dr. Petri is acting as Head of Supply Chain Analytics at Boehringer Ingelheim, a leading pharmaceutical company based in Germany. With over 18 years of experience in supply chain management, operations, and digital transformation, he focuses on developing data-driven solutions to improve efficiency and resilience. Dr. Petri has been instrumental in initiatives such as the creation of a Digital Supply Chain Twin, which enables optimized end-to-end supply chain scenarios through advanced analytics and simulation.
Committed to fostering innovation and a data-driven culture, Dr. Petri approaches supply chain management with a focus on practical solutions and continuous improvement. At the BARC Data Culture Summit, he will share insights and best practices on the role of digital twins in transforming supply chain management.
Powertalks
Join the discussion groups, workshops or presentations to network with your peers.
There are 3 Powertalk Sessions, each offering 3 parallel options. Choose one Powertalk per session – each lasts 45 minutes. Between sessions, enjoy coffee breaks with plenty of time to continue exchanging ideas.
1st Session: 12:15 pm - 1:00 pm
The True Impact of AI: Assessing AI maturity, adoption, and generated value
AI is everywhere, with teams across the organization driving pilots and integrating AI into workflows. The assumption is that we are generating value, saving costs, and increasing efficiency and revenue. But how can we measure the actual value created by AI? In this insightful Powertalk, I will share our approach to assess AI maturity at BSH Home Appliances Group, including our “AI Readiness Test.” We will discuss and exchange metrics and KPIs for measuring AI adoption and AI value in organizations. Join us to explore how to measure the true impact of AI!
Charlotte Witte
Cluster Alliance Manager of Data & AI | BSH Home Appliances Group
Charlotte Sophie Witte is the Data & AI Culture Lead at BSH Home Appliances Group, where her mission is to enable teams across the company to generate business value through data, analytics, and AI. As a digital tech woman, Charlotte is passionate about driving impactful business transformation initiatives and inspiring others to embrace the potential of data and AI.
Integration Working Session with Jean-Claude: Bring Your Mess, Leave with a Plan
Konstantin Riegel
Principal Solutions Engineer DACH | SnapLogic
Konstantin Riegel is a Principal Solutions Engineer at SnapLogic, where he helps organizations across the DACH region design intelligent, AI-driven enterprise solutions. He brings more than a decade of experience in intelligent automation, data integration, and generative AI, with a focus on securely connecting data, applications, and AI systems to create practical business value.
Where Data Becomes Action – Why People, Not Technology, Drive Data Impact
Viola Meisterling
Digital Officer | HPSG Boehringer Ingelheim Pharma GmbH & Co. KG
Jacqueline Bloemen
Senior Analyst Data & Analytics | BARC
Jacqueline Bloemen is a Senior Analyst for Data & Analytics, focused on data & analytics strategy and culture, architecture & technology, governance and organization. She is an author and speaker, and has been advising companies of all sizes and industries for over 40 years.
Her current research and consulting activities are focused on the transformation towards data-driven business and data democracy. She has been with BARC since 2005.
2nd Session: 2:30 pm - 3:15 pm
Adding Organisational Context to Data Products for Agentic AI
Noemi Moreno Fabelo
Head of Data Strategy & Architecture | Cambridge University Press & Assessment
With over two decades of experience in data engineering and business intelligence across various sectors, Noemi has transitioned from a software engineer in biotech to leadership roles in data strategy and analytics in multiple industries. Her career is distinguished by leading transformative projects and pioneering digital initiatives in multiple industry sectors, showcasing her commitment to leveraging data for strategic decision-making. Known for fostering high-performing teams, innovation, and contributing to a data-driven culture, Noemi’s career also includes co-founding Upuno Ltd, demonstrating her versatility and entrepreneurial spirit. Fluent in English and Spanish, she brings a global perspective to her work, embodying dedication to excellence and a passion for empowering organisations to harness their full potential through data.
Business-driven AI: Preparing for responsible innovation
- How to Align AI with business goals and objectives
- How to measure the value of AI initiatives and report this to your C-Suite
- Ensure model explainability
- Embed fairness, transparency, and compliance into your AI lifecycle
- Establishing AI Governance through people, policies, technology, and processes to maximize data asset value and reduce risk
Gaston Hummel
EMEA Lead Strategic Data Services | Precisely
Gaston has over 20 years’ experience in enterprise software and has helped more than 50 organizations across insurance, banking, telecom and succeed in their digital transformation journey. He has led software solutions from their inception, through business case approval, development, sales enablement, successful launch, and 50 plus successful implementations across global enterprises including Santander and Telefonica and Vodafone. Today Gaston is a member of the Precisely Strategic Services Team and advises organisations how to become more data driven and the leading practices for successful data governance programs.
Are you a data changemaker? Data doesn't change anything—people do. Be the change!
Data alone does not change an organization—people do. In many companies, data-driven transformation initiatives fail not because of technology, but because of a lack of willingness to change and the ability to implement change. This is where the data changemaker comes in: they are the driving force that translates data into decisions, actions, and sustainable results. We show why successful data strategies need more than just tools and dashboards—namely, people who build bridges between departments, IT, and management, empower others, and lead the way. Learn how you can become a data changemaker yourself and join the discussion: What does it take for data to lead to better decisions in everyday life?
Janine Ellner
Lead Consultant | OPITZ CONSULTING
Janine Ellner works as a lead consultant for OPITZ CONSULTING in the field of BI and analytics. Her focus here is on providing comprehensive customer support. This includes analyzing requirements, providing support with technical issues, and further developing analytics systems. She is particularly interested in innovative technologies, modern analytics tools, and data culture topics.
Lars Tams
Director Sales Analytics & Head of Sales Excellence | OPITZ CONSULTING
Lars Tams is an authorized signatory and co-head of the Analytics business unit at a leading IT consulting company specializing in digital transformation, custom software development, and data analytics. In his current role, Lars Tams focuses on driving market expansion and growth strategies for his business unit and effectively embedding data-driven innovation in organizations. He is convinced that data does not change anything—people do. He is passionate about empowering organizations to use data as a driver for better decisions, cultural change, and sustainable business success.
3rd Session: 3:45 pm - 4:30 pm
New Ways of Working: From AI Novelty to Operational Capability
Enterprise AI adoption rarely fails because of models. It fails because people don’t trust what AI changes in their daily work. In regulated environments, that trust is shaped by three questions leaders care about: What happens if we don’t act? What risks do we introduce if we do? And how do we operationalize control without killing speed? In this interactive Power Talk, we share a pragmatic “new ways of working” approach featuring multiple use cases: one example will be an AI-powered analytics system that meets every user where they are, from guided point-and-click to natural-language chat to full code-level access, all running on audit-ready infrastructure. Through guided discussion, participants will map their own AI initiatives against a Trust & Adoption Ladder, surfacing the real friction points (skills gaps, auditability, governance, data access) and identifying the confidence-building levers that move initiatives from pilot to production. Together, we’ll compare patterns across the room and distill a compact playbook for scaling AI, without compromising compliance. You will leave with concrete templates and peer-tested strategies to turn AI from a novelty into a reliable capability that upgrades collaboration, empowers non-technical experts, and creates measurable momentum.
Ali Farnoud
Clinical Pharmacology AI Lead | Boehringer Ingelheim
Dr. Ali Farnoud leads AI/ML-driven innovation and technology initiatives within the Clinical Pharmacology organization at Boehringer Ingelheim. He completed his PhD at Heidelberg University and subsequently conducted postdoctoral research at Helmholtz Munich, focusing on AI methods and their application in biomedicine. His work advances clinical data analysis by combining quantitative pharmacology with AI to (1) accelerate end-to-end analysis pipelines in clinical pharmacology and drug development and (2) enable ML-driven quantitative pharmacology analyses.
Julian Kurz
AI & Automation Lead | HMS
Julian Kurz is Lead Expert Generative AI at HMS Analytical Software GmbH and leads HMS’s GenAI Center of Excellence, where the focus is to build sustainable structures that keep pace with customer and industry trends. He has been working in AI for a decade and brings a deeply technical, engineering-first perspective shaped by hands-on delivery and leadership on numerous projects across industries. He combines a curiosity for fundamentals and big-picture implications, with an understanding that engineering is about creating what is useful now.
The impact of data decentralization on Central Data Teams
In this powertalk, you’ll explore how the decentralization of data fundamentally reshapes the role, responsibilities, and working model of central data teams. As organizations shift toward domain owned data products and distributed accountability, traditional bottlenecks, workload pressures, and context gaps become impossible to sustain. You’ll learn how central teams evolve from service providers to enablers—focusing on governance, shared standards, platform capabilities, and empowering others through literacy and guidance. The session shows why decentralization is not about removing the center, but about redefining it, creating a culture where collaboration replaces handovers and where central expertise helps the wider organization generate shared, scalable value from data.
Peter Stähler
Data Culture Manager | E.ON
Peter Stähler is Data Culture Manager at E.ON Energie Deutschland, where he focuses on strengthening data culture across the organization by empowering both domain and central teams to work confidently with data. In recent years, his work has centered on building the bridge between data specialists and business teams, fostering shared ownership, transparency and trust as foundations for sustainable data practices. His approach reflects a clear cultural mission—enabling people to collaborate across boundaries, develop data literacy, and turn data into collective value.
Working Session: When Data Needs Empathy – Giving Agentic AI a Human Voice
We talk a lot about building smarter data architectures. But the real question is: what happens when that architecture needs to show up for a person — not just a process?
Without the right context, even the most capable AI falls short in the moments that actually matter. Getting this right means connecting the right data layers, bringing in retrieval-augmented generation (RAG), and giving AI agents the tools to act with both precision and care.
In this interactive working session, we’ll get hands-on with a real-world scenario: an AI agent navigating a genuinely complex, high-stakes situation on behalf of a real user. We’ll pull back the curtain on what makes it work — from the interface a person sees, to the data powering it behind the scenes.
Join us to move beyond orchestrating data — and start designing the voice of it. Because the goal isn’t just smarter data. It’s data that knows how to speak to people.
April 23, 5.00 pm – 5:30 pm
The Hidden Costs of Weak Data: Why FAIR Foundations Matter for AI
What does “AI-ready” mean for consumer? This session takes the audience on the journey of how FAIR, interoperable, and data‑centric design creates trustworthy, AI‑ready research environments. It highlights risks of fragmented data landscapes, hidden costs of weak foundations, and growing expectations for traceability from regulatory agencies. The talk highlights holistic knowledge management and connected data streams as the crucial glue across applications to enable resilient, future‑proof digital ecosystems along the research value chain.
Dr. Anna Dieckmann, Head of IT RDM Computational Biology | Boehringer Ingelheim
Dr. Anna Dieckmann is Head of IT RDM Computational Biology at Boehringer Ingelheim, leading a team positioned at the interface between enterprise IT and the Computational Innovation (CI) organization. Her group provides the technological foundations, platforms, and data‑enablement capabilities that empower CI and bioinformatics teams to conduct advanced computational research efficiently and sustainably. Combining modern compute infrastructure with an advanced biomedical data‑management framework and a deep understanding of AI/ML requirements, her team supports the development and operation of next‑generation scientific applications.
Anna is the originator of the Global ODM program, a critical foundation for FAIR and interoperable omics‑data practices across Boehringer.
She is deeply committed to fostering interactions across scientific, computational, and technical talent communities. With a leadership style grounded in empowerment and clarity of purpose, Anna focuses on enabling her team to excel in supporting CI’s evolving needs through reliable, scalable, and future‑ready digital capabilities. By strengthening collaborative networks and the bridge between enterprise IT and advanced computational research, she helps create an environment where innovation can thrive.
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