Aleksander Djurka is the Head of Data Engineering and Infrastructure at Stellantis, managing Data Platform, Data Governance, Data Solutions, and Data Monetization. In this role, he also promotes the implementation of a distributed approach to data ownership while ensuring reusability and efficiency with the help of cloud infrastructure. Prior to joining Stellantis, Aleksander led data and security initiatives as CIO at Vestiaire Collective. He has also built and managed data engineering teams at Lazada, part of Alibaba Group, implementing reusable data models and infrastructure. Aleksander holds a Master's in General Management from Vlerick Business School and a University Diploma in Electrical Engineering from the University of Ljubljana
Aleksander Djurka, Head of Data Engineering and Infrastructure, Stellantis, Room Neptune
In the era of Generative AI, the success of AI initiatives hinges on more than just algorithms—it depends on robust, scalable data platforms. This talk explores the pivotal role of data platforms in accelerating AI use case development. Drawing from experiences across multiple industries, we’ll delve into strategies to enable rapid deployment, ensure compliance, and optimize the ingestion of data into AI systems like Retrieval-Augmented Generation (RAG). The presentation will highlight the importance of leveraging unique data versus investing in state-of-the-art algorithms, and how data mesh principles combined with the separation of storage and compute can streamline AI integration. The goal is to leave you all with actionable insights into designing data platforms tailored for GenAI success.
Check out the incredible speaker line-up to see who will be joining Aleksander.
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