Agencies need to first move slow with their data to then move fast into AI
Agencies need to first move slow with their data to then move fast into AI
Publish Date: 2026-05-29 10:52:00
Source Domain: federalnewsnetwork.com
- The article highlights the first federal data strategy established seven years ago, emphasizing the importance of data governance and management in improving mission outcomes for agencies.
- It marks the preparation for applying tools and capabilities of artificial intelligence (AI), leading to the recent governmentwide policy around AI from March this year.
- Agencies have shown sufficient progress in managing data’s volume and variety, allowing them to pilot AI tools for various operational uses, from automating tasks to direct citizen interaction.
- A crucial lesson for AI adoption is confidence in the security and trustworthiness of tools, with data quality being a primary driver of AI success.
- The Department of Energy (DOE), under the National Nuclear Security Administration (NNSA), has been working on data challenges and evolutions, emphasizing rigorous data governance and management.
- For the Postal Service’s Inspector General Office, the focus is on becoming a strategic partner within the agency for analytics and better governance, handling vast amounts of data effectively.
- The importance of fostering a data culture across all roles within agencies is highlighted, where securing, governing, and accurately tagging data can expedite AI adoption.
- Brent Hansen advises agencies to “slow down to speed up”, emphasizing the delicate nature of AI and the necessity for careful governance and cybersecurity collaboration for responsible AI use.
