This year our event is centered on pressing topics that are shaping the future of data-driven decision-making. For data leaders navigating rapid technological advancements, these discussions offer the opportunity to engage with peers, share best practices, and explore the emerging strategies and solutions that are critical in today's landscape.
In this article we are thrilled to present the top five key topics that will be highlighted at this year's event.
Register now for CDAO Frankfurt to hear directly from Germany's leading data, analytics, and AI experts about the cutting-edge of data analytics transformation.
The Top Five Data, Analytics, and AI Topics at CDAO Frankfurt 2024
1. Ethical AI and Explainable AI: Building Trust in Business
As AI continues to play a growing role in business operations, ensuring that these technologies are used responsibly is a critical concern. Franziska Eickhoff, Chief Data & Analytics Officer for L'Oréal (DACH), will explore how explainability in AI is fundamental to building trust with customers and ensuring transparency in decision-making processes. This session will provide insights into how Franziska's approach to integrating ethical AI principles across business operations, highlighting both the challenges and the benefits of responsible AI practices.
2. Data Governance: Navigating Complexity and Compliance
One of the most persistent challenges for organizations is managing large volumes of data while ensuring regulatory compliance. Several CDAO Frankfurt sessions will focus on building effective data governance frameworks that can adapt to organizational needs. Discussions will cover strategies for breaking down data silos, improving data accessibility, and aligning governance efforts with broader business objectives. These insights are crucial for those aiming to improve data management practices and ensure compliance in an increasingly complex regulatory environment.
3. Generative AI: Real-World Applications and Challenges
The potential of Generative AI (GenAI) to transform business processes is becoming increasingly apparent. Andreas Merentitis, Chief Data Officer at OLX, will share how his organization is leveraging GenAI to enhance customer experiences and drive business innovation. This session will focus on the practical applications of GenAI, with real-world examples of its impact, and provide a balanced view of the opportunities and challenges involved in adopting this technology.
4. Data Silos and Integration: Enhancing Efficiency Across Operations
Data silos can hinder the ability of organizations to make informed decisions. Several sessions will explore how businesses are overcoming this challenge through improved data integration strategies. For example, Home Credit's transformation through a data mesh architecture will be showcased as a case study in breaking down silos and enabling more efficient, real-time access to data across multiple teams and locations. These insights will be particularly valuable for leaders looking to streamline their operations through better data integration.
5. Private GPT: Securing AI Applications in Sensitive Environments
With the growing adoption of AI, concerns about data security and sovereignty have come to the forefront. Udo Würtz, Chief Data Officer at Fujitsu, will discuss how Private GPT offers a secure, customizable solution for organizations needing to maintain control over their data while harnessing the benefits of AI. This session will provide a detailed look at how private AI applications can be implemented securely, making it especially relevant for industries that deal with sensitive information.
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Register now for CDAO Frankfurt to hear directly from Germany's leading data, analytics, and AI professionals about the future of data, analytics, and AI.