Michael describes rapidly deploying generative AI across the DoW's secure networks, working with a tiger team of engineers from Databricks, Meta, and AWS, and partnering with Google's Gemini to ensure data security.
transcript
Emil Michael: So GenAI.mil, because if you're on a Department of War network, even the unclassified networks are secure, right? And different levels of security as you go up. So you still have to figure out how to architect using AI into those networks. It's not simple as going to chatGPT.com and signing up because those things are sort of generally prohibited because you have to have restrictions on how to use them. So we had to figure out what are the policies, how do you architect it in the network so nothing goes back into the pool of data that ChatGPT or Claude or any of these companies have, because we certainly don't want, no one in this country wants our data getting out into the general public, right, into these models. So you have to architect a different data flow. So, but we moved really fast. I had some like Databricks engineers, former Databricks engineers, former meta engineers, former AWS people, tiger team, 60 days, good, great collaboration from Gemini, from Google's Gemini, who already works at Department of Wars, had some familiarity with our architecture and our systems, and got that launched to 3 million people. And we've had over a million people uniques use it in the last 30 days, which is kind of awesome. We've got one third of the enterprise on one model that's 2.5, not 3.0. 3.0 is coming in a couple of weeks. Then we're going to do Grok with XAI, and we'll see where we get to with the other two.