[Seminar] Distributed Data Management in the Age of Agentic AI: Open Data Spaces
[Lecturer]
Tsuda Michitaka, Information Analyst / Open Data Spaces Chief Architect, Digital Architecture and Design Center, National Institute of Advanced Industrial Science and Technology
[Key Lecture Content]
In the AI era where "Data is Eating the World" becomes a reality, the source that defines the competitive advantage of software has shifted to data, prompting a reevaluation of the essence of digital services. At the same time, a dual constraint has emerged: the depletion of publicly available web data and the difficulty in utilizing the domain context hidden within corporate dark data. The aggregated "Push and Ingest" paradigm, which has evolved from DBMS to DWH, DL, and DLH, is reaching its limits as Agentic AI scales across organizations and borders.
This lecture will overview "Open Data Spaces," a next-generation distributed data management technology that extends the data mesh, and outline a new architectural paradigm for the Agentic AI native era, enabled by semantic interoperability through Dynamic Ontology and the opportunities presented by Zero-Trust Architecture.

| Date and time | Wednesday, Jul 15, 2026 04:00 PM ~ 06:00 PM |
|---|---|
| Capital | On-site attendance / Live streaming / Archive streaming (available for viewing multiple times for 2 weeks) SSK Seminar Room, 2-6-2 Nishi-Shinbashi, Minato-ku, Tokyo, 4th Floor, Zaimax Nishi-Shinbashi Building |
| Entry fee | Charge |
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