The most popular and comprehensive Open Source ECM platform
Let us know more
Federated Data Management in the AI Era
As organizations increasingly integrate artificial intelligence into their operations, many are discovering that traditional single-platform data management approaches may no longer suffice. The complexity and scale of data required for AI applications have led companies to explore federated data management strategies, which allow for more flexible and distributed data handling across multiple systems and locations.
Federated data management enables organizations to maintain data in various sources while providing unified access through a single system. This approach is particularly beneficial for large enterprises with diverse data needs and sources. According to a recent report by The Register, “Data platform vendors are increasingly looking to AI to help customers manage their data estates, but the sheer scale and complexity of enterprise data means a single platform approach may not be enough.”
Companies are adopting federated approaches to overcome challenges associated with data silos, regulatory compliance, and the need for real-time access to information. For instance, Mayo Clinic has implemented a federated model that includes a multi-layered defense referred to as “data behind glass.” This approach allows authorized users to access de-identified data for algorithm development while preventing data from being removed from the secure environment.
The implications of federated data management are significant. It enables organizations to improve data quality, enhance accessibility, and maintain better control over sensitive information. As John Halamka, M.D., President of Mayo Clinic Platform, notes, “While the value of access to data across all silos and segments of healthcare is well recognized, near-continuous access to raw data has to juxtaposition against the need to keep such data private”.
Improvements in federated data management are likely to focus on enhancing interoperability, automating governance processes, and developing more sophisticated access control mechanisms. As AI continues to reshape the data landscape, federated data management is emerging as a crucial strategy for organizations seeking to balance data accessibility with security and compliance.
