Managing data in the age of AI: F.A.Z. podcast

In the latest episode of the F.A.Z. Artificial Intelligence Podcast, I had the pleasure of joining hosts Peter Buxmann, Professor at the Technical University of Darmstadt, and Holger Schmidt, Digital Economy Editorial Director at F.A.Z., to discuss the critical role of data management in the era of AI. 

While well-executed data management is the backbone of digitalization and a key enabler of innovative AI applications, many companies still struggle to manage their data effectively. Between 2017 and 2022, many organizations started experimenting with promising AI use cases but soon faced significant challenges in finding and preparing the right data for these new applications, ultimately hindering their ability to scale AI. The emergence of generative AI has opened up a completely new dimension, further emphasizing the criticality of data management.

Today, around 90% of company data goes unused - much of it is unstructured data - such as documents, videos or images: data that holds both immense potential for Generative AI and significant risk, particularly when it contains sensitive personal information or confidential company secrets.

In the era of AI, data management cannot be an afterthought. We need to make our data management smarter, more strategic, and more integrated into our daily operations. Without this shift, the promise of AI and data-driven innovation will remain largely unrealized.

Join me as I explore why intelligent data management is essential for companies embarking on Artificial Intelligence and Generative AI.

Find the full conversation in the F.A.Z. podcast, available here in German.