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Ready Your Data for AI with Data Products

From First Concept to Enterprise Scale
AI has long been promoted as a source of decisive competitive advantage—but without a strong data foundation, that potential remains out of reach. Gartner data shows that almost one-third of GenAI projects fail, even after a proof of concept. The main reasons include poor data quality, inadequate governance, compliance gaps, and a missing link to real business outcomes.
This webinar is designed specifically for CDAOs, CIOs, and data leaders facing these challenges. Our experts will guide you through building AI-ready data by developing governed, value-driven data products—the crucial groundwork for scalable, high-impact AI initiatives.
Whether you’re at the start of your AI journey or rolling out programs across the enterprise, you’ll discover how to create a data infrastructure that truly fuels AI innovation, understand the pivotal role of Data Products in ensuring AI readiness, and learn effective ways to measure and prove the business value of your AI investments.
Discover how to build AI-ready data products and drive measurable business impact.
Key Takeaways
- Why many AI projects stumble—and how to avoid the same fate
- How data products boost governance, visibility, and quality
- Live demo of building AI-ready data products
- Practical lessons from real-world cases
- Scaling from a single use case to an AI-driven operation
Audience
- Leaders in Data & Analytics (CDAOs)
- CIOs and senior IT decision-makers
- Directors of Data, AI, or Digital Transformation
- Data Product Owners and Solution Architects
Speaker

Dr. Andreas Böhm
Founder and Managing Director
One Data

Richard Madsack
Principal Consultant Data + AI
Dataciders QuinScape

Magdalena Söldner
Principal Product Manager
One Data
Weitere Events
72 Events
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- Messeplatz 1, 45131 Essen, Halle 3, 3G137
10. Februar 2026
- 12. Februar 2026
- 09:00 -
- 18:00 Uhr
BARC: Die Zukunft von SAP Data & Analytics
- Westhafenpier 1, Rotfeder-Ring 1, 60327 Frankfurt am Main
11. Februar 2026
- 09:00 -
- 17:30 Uhr
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