Diskussion über Gründe für langsame Erkundung in Unternehmen und Komponenten eines Stacks

The future of genAI is dynamic and unpredictable, with continuous advancements and improvements in the technology.

In this episode, Carsten interviews Johannes Klepsch from Gradial Data, to discuss the challenges and opportunities of operationalizing genAI in an enterprise context. They address the reasons for the slow adoption of genAI in businesses, focusing on key issues such as data quality, skills, know-how, and trust.

Johannes emphasizes the importance of ensuring that genAI applications are tailored to the specific needs of the business to achieve the desired results.

Looking to the future, Carsten and Johannes further expand on the potential of genAI to improve the usability of core data analytics tasks, making them more efficient and accessible.

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Johannes Klepsch on LinkedIn.

Carsten Bange on LinkedIn.

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