In his talk, Josema discussed the complexities of managing modern infrastructure, emphasizing that each setup is unique and requires tailored approaches. He explored how AI can support infrastructure management, offering potential efficiencies and insights. However, he also highlighted the limitations and risks of relying on AI blindly in this domain. The session provided a balanced perspective on both the benefits and challenges of applying AI to complex infrastructure management.

This speech by Josema Cavanillas was held on October 16th at DSC DACH 25 in Vienna.

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In his talk, Mohamed explored the relationship between Data Fabric and Data Mesh, questioning whether they are rivals or allies. He explained how these two approaches can complement each other, with a federated Data Mesh supported by the automation and metadata-driven backbone of Data Fabric. The session demonstrated how combining both concepts enables trusted, scalable, and decentralized data at enterprise scale. Attendees learned how integrating Data Fabric and Data Mesh can unlock the full potential of modern data platforms.

This speech by Mohamed Mansour was held on October 16th at DSC DACH 25 in Vienna.

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In their fireside chat, Thomas and Tarry discussed how to build the foundational "AI factory" infrastructure required to scale intelligent systems from experimentation to enterprise deployment. They explored key components of modern AI pipelines, including data engineering, large-scale model training, MLOps, and deployment architectures. The conversation emphasized the importance of robust infrastructure, automation, and cross-functional collaboration for accelerating innovation and operational efficiency. Attendees learned how these elements support responsible AI development and scaling at enterprise level.

This fireside chat by Thomas Kitzler & Tarry Singh was held on October 16th at DSC DACH 25 in Vienna.

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