June 14th, 3.15 – 4.00 pm
In today’s rapidly evolving digital era, organizations are increasingly recognizing the significance of data availability and utilization to gain a competitive edge. Four years ago, Zhamak Dehghani, a Thoughtworks consultant, introduced the concept of Data Mesh[1], which has since gained significant attention as an approach to effectively managing and leveraging data.
In a critical round table discussion, real-world use cases and challenges of implementing Data Mesh will be explored, particularly in machine learning initiatives. The discussion will focus on the scalability and adaptability of Data Mesh in different organizational contexts. We will address the trade-offs and challenges associated with decentralizing data ownership, including data governance, security, and privacy.
Experts from various domains will contribute their knowledge to foster a comprehensive understanding of Data Mesh’s practical implementation and its impact on data-driven organizations. Join the discussion to collectively assess the strengths and weaknesses of this data management paradigm and navigate the complexities of Data Mesh implementation.
[1] Zhamak Dehghani, How to Move Beyond a Monolithic Data Lake to a Distributed Data Mesh; Blog Article (May 20th, 2019)
Dr. Lydia Nemec | Head of AI Accelerator | Carl Zeiss AG