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Every agency is trying to boost productivity with AI. Today we sat down with subject-matter experts from the Department of Energy who are familiar with the Genesis Mission. This project succeeded in assembling an integrated AI platform and applied it to several disparate laboratories.
One of the first lessons learned was detailed by Dana Grishan, Sandia National Laboratories: what an architecture issue. Specifically, how to balance centralized and federated control over systems.
This is a key concern because of all the innovation taking place today. Any system must be able to manage rapid modifications yet maintain compliance.
David Henderson reinforces this concept of governance, but he emphasizes controlling the path of data once it is in the system. He recommends developing a common data catalog. This method allows data to be transferred from a database to a data lake to a data warehouse while maintaining control.
While most organizations view computing as a bottleneck, Maximus' Frank Reyes observes that system architecture can provide guardrails to optimize performance in the unique federal environment.
The panelists also discussed the challenges posed by technical debt, the necessity of rigorous data-sharing agreements, and the critical role of security in cross-organizational collaboration.
