Session Outline
Presentation on data strategy at the Data Innovation Summit 2024! This presentation by Mercedes Pantoja from E.ON, covers the importance of developing a cohesive approach that aligns with business goals. By prioritizing data quality, integration and governance to unlock the full potential of AI and data driven initiatives.
Key Takeaways
- Business Alignment. Aligning your data strategy with your organization’s business objectives. To ensure that data and AI initiatives directly contribute to your goals.
- Data Quality and Governance. Significance of data quality, integrity, and robust governance frameworks. Foundational elements for enabling successful AI innovation, as they underpin data reliability and trust.
- Integration and Interoperability. Seamless data integration and interoperability across various systems and sources to ensure a comprehensive and holistic view of your data, which is essential for effective AI applications.
- Continuous Learning and Adaptation. Flexible and adaptable data strategy that evolves alongside technological advancements and changing business requirements to stay ahead in the data and AI innovation landscape.