Nevena has been passionately working in the field of data and AI since her university days. After completing her computer science studies at TU Wien, she focused on federated decision support systems as part of her PhD research. She then transitioned into industry, where she successfully worked in big data and decision support systems consulting, primarily in the telecommunications and finance sectors. In 2019, she joined OMV, where she co-initiated the Data Analytics Platform initiative and now leads the Corporate Data Analytics Program. In this role, she is responsible for strategic and operational corporate use cases, advocates for robust data governance, and promotes data literacy across the organization.
My job is the perfect blend of purpose, creativity, and constant evolution. I love that every day brings a new challenge—no two are ever the same. Working in data and AI allows me to be both analytical and imaginative, designing solutions that are not only technically sound but also impactful. I’m especially motivated by the opportunity to continuously grow, learn, and stay at the forefront of a field that’s reshaping our world. Being part of this revolutionary time—where AI is expanding what’s possible—is incredibly inspiring. It’s exciting to know that the work I do today can help drive the energy transition and contribute to a more sustainable future.
Case Study
Monday, March 16
12:10 pm - 12:40 pm
Live in Munich
Less Details
As industries across the globe undergo rapid business transformation driven by the need for greater efficiency, sustainability, and innovation, the demand for AI-driven support in enabling this change is growing exponentially. This presentation addresses the challenges faced by large corporations in adopting transformative AI technology and outlines OMV’s approach with the Group Data Analytics Platform initiative. This initiative involves designing a standardized, scalable, and secure data mesh-based platform for data management, storage, and exchange, which serves as a foundation for implementing advanced analytics and AI use cases. In this presentation, a practical approach to establishing a data analytics platform and key results and findings will be shared.
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