Die im Konferenzprogramm der TDWI München 2024 angegebenen Uhrzeiten entsprechen der Central European Time (CET).
Creating Data Transparency with the Support of LLMs and AI
Data Transparency is a basic need of every data worker. It is crucial to find the right data in a limited amount of time to keep the time-to-market of data and analytical products short. However, documenting and classifying data manually can be cumbersome due to the vast amount of data. In this session, we present the approach MediaMarktSaturn has taken to use LLMs and other AI models in combination with a data catalog to establish a high level of data transparency in a semi-automated way.
Target Audience: Chief Data Officers, Data Governance Managers, Data Strategists, Data Engineers, Data Scientists, Subject Matter Experts
Prerequisites: Basic knowledge of Data Catalogs and LLMs
Level: Basic
Extended Abstract:
Data Transparency is a basic need of every data worker. It is crucial to find the right data in a limited amount of time to keep the time-to-market of data and analytical products short. But with the ever-growing amount of data, it gets more and more difficult to keep up a suitable level of data transparency. In this session, we present the approach MediaMarktSaturn has taken to use LLMs and Open Source Data Catalogs to establish a high level of data transparency in a semi-automated way. With this approach, it is possible to keep the manual work at a suitable level and manage data transparency in an efficient way. Moreover, we will outline how this approach is integrated into the overall Data Governance and Data Architecture.
Dieter Berwald is Competency Lead and Product Owner at MediaMarktSaturn Technology, where he focuses on advanced analytics and data catalog applications. He currently leads projects aimed at entity recognition in large cloud data lakes, managing data access, and leveraging metadata for enhanced data utilization.
Dr. Christian Fürber is a recognized data expert with over 20 years of experience across the entire data management & strategy spectrum. Throughout his career, Christian has served in numerous roles from Data Engineer to Data Owner, giving him a comprehensive understanding of data challenges at every organizational level.
Christian established one of Germany's first Data Governance organizations at the German Federal Armed Forces, implementing one of the first data strategies back in 2009. At OMMAX, Christian leads an experienced team that has successfully executed numerous data projects and strategies for renowned companies across multiple industries. His focus consistently centers on generating substantial business value from his clients' data assets.
Beyond his work at OMMAX, Christian is a sought-after author and speaker at international conferences, including MIT, demonstrating his ongoing commitment to advancing the field of data. You can find more information about Christian on LinkedIn.
Nitin embarked on his IT career in 2014 as a consultant, quickly gaining a reputation for his expertise and adaptability. Throughout his career, he has worked with a diverse range of clients across industries including telecommunications, petroleum, and disaster recovery. Nitin holds a Master's degree from the prestigious Technical University of Munich (TUM), which further solidified his foundation in data architecture and engineering.
Following his studies, Nitin excelled as a Lead Data Architect/Data Engineer at several renowned companies. His innovative cloud solution architecture, particularly for real-time racetrack analytics, has been instrumental in securing multi-million dollar deals. Currently, Nitin serves as the Data Governance Lead at MediaMarktSaturn, where he continues to drive data excellence and governance initiatives.
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