Google Public Sector launches Gemini to 3 million Department of War personnel on GenAI.mil
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Author: Google Cloud · Watch on YouTube
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Original language: English
Original video: Google Public Sector launches Gemini to 3 million Department of War personnel on GenAI.mil · Channel: Google Cloud · 02:41 · Watch on YouTube
Topics: Enterprise AI applications, Task and workflow automation, AI models, AI safety
Summary
Section titled “Summary”Deya Banisakher, acting Director for Frontier AI at the Department of War’s CDAO, describes its role in turning department data into decision advantage and building secure, trusted enterprise AI platforms. She says GenAI.mil was delivered in 54 days by a lean team, despite the scale and complexity of serving a vast, multi-classification department. The platform gives scattered AI pilots a place to scale and connect with users. One team used Gemini on GenAI.mil to review a backlog of about 27,000 documents in weeks rather than an estimated 11 years, and the platform grew to more than 700,000 users within about a month.
Key points
Section titled “Key points”- Banisakher’s central lesson is to move fast, deliver a platform, start small, and build for enterprise needs rather than wait for a perfect solution.
- CDAO serves as the Department of War’s hub for data analytics and AI, building secure and trusted enterprise platforms.
- A lean team delivered GenAI.mil in 54 days, including through a government shutdown.
- Scaling an enterprise platform across a global, multi-classification department presents challenges including data and accessibility.
- Hundreds of AI pilots lacked a secure, trusted place to scale and be accessed by others.
- Gemini and GenAI.mil helped a team review about 27,000 backlog documents in weeks instead of an estimated 11 years.
- GenAI.mil reached more than 700,000 users within about a month, an adoption scale the speaker says the department had not seen before.
Chapters
Section titled “Chapters”| Start | Chapter | Summary |
|---|---|---|
| 00:02 | CDAO’s mission and approach to AI | Banisakher shares her lesson on moving quickly while building enterprise-grade platforms and explains CDAO’s role in data, analytics, and AI. |
| 00:33 | Delivering GenAI.mil at scale | She describes how a lean team launched an enterprise platform for more than three million users in 54 days and the challenges of serving a vast department. |
| 01:38 | Connecting pilots and users | The speaker explains how GenAI.mil provides a secure place for AI pilots to scale and recounts a document-review use case. |
| 02:41 | Adoption and public-sector innovation | Banisakher highlights GenAI.mil’s growth to more than 700,000 users and Google Public Sector’s role in the effort. |
Quotes
Section titled “Quotes”move fast, deliver a platform, start small, but build for enterprise-grade — 00:02
we turn the department’s data into decision advantage — 00:33
they weren’t finding each other. — 01:38
within a matter of weeks rather than 11 years. — 02:09
That adoption scale is something that the department’s never seen before. — 02:41
Concepts and entities
Section titled “Concepts and entities”GenAI.mil, Gemini, Department of War, CDAO, Deya Banisakher, Google Public Sector
Full transcript (original language)
Section titled “Full transcript (original language)”00:02 The single biggest lesson I’ve gained while leading GenAI.mil and enterprise transformation is move fast, deliver a platform, start small, but build for enterprise-grade, don’t wait for a perfect solution. Adoption will come and demand is certainly there. Deya Banisakher, I am the acting Director for Frontier AI at CDAO in the Department of War. Bottom line, At CDAO, we turn the department’s data into decision
00:33 advantage for our warfighter and our workforce. Primarily, we are the hub for data analytics and AI. we build enterprise platforms and AI-ready platforms that are enterprise-grade and secure and trusted. Wow! What it took to get an enterprise platform for 3 million+ users within an unheard of speed and matter days. 54 days, to be specific, through a government shutdown.
01:05 Was a lean team that operated at speed in a startup culture and was able to deliver on the direction that we got from the secretary. Bringing an enterprise to a 3 million+ global and multi classification network and department is a challenge on its own. We have all kinds of general enterprise challenges, data being one, accessibility being one, but primarily the department is so vast
01:38 and large and innovative such that we had hundreds of pilots that were being built and dying on the vine. And the reason for that is that we didn’t have a single place, as that is secure and trusted for these pilots to scale onto and be accessible for others. So the data was there, the pilots were there, the users were there. It’s just that they weren’t finding each other. One example that comes to mind is a team that was working through about 27,000
02:09 of a backlog of documents that they needed to review for release. It would have taken them 11 years to go through that backlog. What they’ve done is they’ve used Google’s Gemini and GenAI.mil to be able to build an agent that essentially became an assistive technology for that team to be able to sift through all of their backlog within a matter of weeks rather than 11 years. The most thing I’m proud of is definitely deploying
02:41 GenAI.mil, scaling it within a month or so to 700,000+ users. That adoption scale is something that the department’s never seen before. With Google public sector, the Chief Digital and Artificial Intelligence Office is building a new era of American innovation by putting the world’s most advanced AI into the hands of the people that protect this country at the speed the mission demands.