Kostenoptimierung und Effizienzsteigerung durch Generative AI
- early adoption bis hin zu value creation -

01 - 02 July, 2025 | Berlin, Germany

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Dr. Mariana Hebborn

Global Head of HR AI & Data Governance Merck Gruppe

Dr. Mariana Hebborn is a dedicated leader in Data and AI, currently serving as the Global Head of HR Data & AI Governance, Privacy, and Quality at Merck KGaA. With a PhD in Computational Data Processing, Mariana has successfully led Data Science and digital transformation programs for major companies like IBM, Fujitsu, and Viridium across Europe and Asia. Mariana is passionate about driving change through natural language processing, AI, data analytics, and governance. She loves turning data into creative solutions that help businesses grow, always ensuring the data is perfectly suited for each digital transformation. Her strategic approach to managing data and AI allows organizations to fully unlock their digital potential. When she's not leading data-driven projects, Mina enjoys spending time with her family and staying active through various sports. Her balanced lifestyle reflects her dynamic and approachable leadership style.

Generative AI HR: Day 1

10:00 AM Maximizing HR Transformation with GenAI: A Product-Driven Data Strategy for Lasting Success:

Introduction:
HR transformation needs robust data strategies to fully leverage Generative AI (GenAI).
Product-driven data strategies combined with GenAI drive sustainable success in HR.
GenAI in HR: Challenges and Opportunities
Challenges: Data silos and poor-quality data hinder HR teams from utilizing GenAI effectively.
Opportunities: o Implementing Data Mesh and treating data as a product can enhance data quality and access for GenAI applications, especially in Learning and Development (L&D).
A Product-Driven Data Strategy for HR Transformation
Data as a Product in L&D:
Manage learning data as a product with clear quality standards and defined use cases.
GenAI applications benefit from consistent, high-quality data, enabling personalized learning paths and skill assessments.
Decentralized Data Ownership in L&D:
L&D teams own and manage their data, optimizing it for GenAI to drive innovation.
Teams can continuously refine learning pathways and create better development programs.
Benefits of Combining Data Mesh and GenAI for HR Transformation
Faster Innovation and More Accurate Decisions:
Structuring L&D data as products allows for faster, data-driven decision making, with GenAI suggesting tailored learning recommendations.
Improved Collaboration and Compliance:
Cross-functional teams share data products, enhancing collaboration.
Federated governance ensures compliance with data protection standards.
Long-Term Transformation with GenAI:
Product-driven data strategy + GenAI = sustained HR transformation success.
Personalized learning pathways, powered by GenAI, align skill development with organizational goals.
Summary and Conclusion
Key Takeways
A product-driven data strategy ensures GenAI delivers accurate insights for L&D.
Decentralized data ownership fosters agility, innovation, and better decision-making.
Final thought
Combining GenAI with Data Mesh is essential for long-term HR transformation success

Check out the incredible speaker line-up to see who will be joining Mariana.

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E-mail: eq@iqpc.de

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IQPC Gesellschaft für Management Konferenzen mbH
Address: Rosenstrasse 2, 10178 Berlin, Germany
Tel: 49 30 52 001 534
E-mail: info@iqpc.de
Registered at: Amtsgericht Charlottenburg, HRB 76720
VAT-Number: DE210454451
Management: Torben Haagh, Richard A. Worden, Michael R. Worden