In her Keynote, Zrinka Puljiz emphasized that in the era of Large Language Models, data defines the very boundaries of intelligence. She explored how the quality, diversity, and ethics of data shape the capabilities and limitations of AI systems. Zrinka discussed how data collection, labeling, and governance influence LLM behavior, creativity, and bias, highlighting the need for organizations to rethink their data strategies. Attendees gained insights on building data ecosystems that drive innovation while ensuring trust, fairness, and long-term sustainability in generative AI.

This Keynote speech by Zrinka Puljiz was held on October 15th at DSC DACH 25 in Vienna.

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