WEBVTT

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Um what's the job of CD A O ?

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This is really if I can , this is

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really a , a tough call . Uh We were

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joined and all of , you know , and by

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the ruins in the audience . So uh who ,

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who ran the Jake ? Uh we were , we were ,

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we were the merger of four distinct

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doors , the Jake , the CEO S office

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A data , which is the analytics

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platform in DD defense , digital

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Services . And the idea was to put all

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of those together , essentially have

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cies of scale . So the job of that CD A

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O office , I think we call it the O CD

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O si I , I'm still not very good with

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dndis , but the job of the office is to

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scale data analytics and A I

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across the department for decision

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advantage . Uh I think I should say

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from the boardroom to the dialogue ,

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you know , for decision advantage . So

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the key part there that I added , which

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wasn't part of the original mission was

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scale and the scaling part is the hard

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part . So what I discovered when I

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first came up uh into the department ,

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almost a couple of things . The first

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thing I discovered , I know my team's

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all frustrated me already because I'm

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not taking the script at all . Um The

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first thing I , and they worked really

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hard on . Um The first thing I

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discovered um was what I thought was

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the problem , wasn't the problem . What

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I thought the problem was going to be

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is creating a demand signal for being

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digitally driven , creating a demand

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signal for being data driven . Not true .

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I'm unbelievably impressed . I , so

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I've been in the job for about a year

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and a half . The first six months don't

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count because I don't know if anybody's

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worked in the building , but it takes

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that long on that . Um So over the last

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year when I discovered uh is that

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everybody wants to be data driven ,

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everybody wants the right data at the

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right time to solve the problem . In

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fact , everybody wants it so badly .

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They are willing to believe in that .

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We'll get down in a second . I want you

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to kind of , and everybody wants to be

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in the B so that wasn't my problem

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trying to convince people to be dated .

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It was my problem trying to help them

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figure out , figure out how to be d

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that's the problem . So , and , and ,

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and there's two ways in which we have a

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problem . Why was this tension ?

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Don't worry . I , why was this tension

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between the fight tonight and getting

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it ? Right . No . What I mean by

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getting correct is getting a correct

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department . So , and I just chose that ,

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um , the department is

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filled with patriots . These are people

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who really want to save lives , who

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really want to do the right thing right

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away . Well , sometimes doing the right

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thing right away means the solution is

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happening . Actually , I've been doing

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the right . Right . Right . Means the

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solutions happen . And I will admit the

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department has a tendency to quickly

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hack together a solution and move on to

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the next emergency . Why is it the US

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Department of Defense , there are

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always emergencies , there are always

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things going on that need to be fixed .

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So we took it as our task , tobacco .

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What does it mean to get it right .

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Three years from now to now about what

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does it mean to get it right . Five

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years from now . Does that mean we

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don't respond ? Should we fix that for

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five years now ? We have to respond now .

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But if we have a view of what it means

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to be , right ? Five years from now ,

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or three years from now or two years

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from now , then once we do a quick and

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happy solution , we know that it's tech

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dead and we know how to modify it to

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make it be a sustainable solution . The

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way I say this and I'm sure some of you

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have heard said this before , but the

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way I say this to my team is , look ,

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our job is not only to answer the call

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today . And that is our job to answer

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the call today . And as you go through

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this , uh , symposium , you'll see our

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search capabilities . You'll see plenty

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of evidence of our jumping into the

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fight right now . It's actually pretty

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exciting . It's actually our job to

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answer the phone . It answered the call

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today . But how many of you have ever

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used the government system ? Raise your

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hand . Ok . How many of you have ever

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used the governance system ? It wasn't

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quite that far . Yeah , you all are

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using PTS to get your

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luckily this iteration of the

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government . I don't have to use UTS .

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But uh so , so what if you were using a

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system in a forward base ? What if you

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were using a system in a combat ? I see

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a lot of military folks here . So

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they're gonna understand this . And

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what if you could make a phone call to

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five years ago ? And you could ask that

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one , the developer of that system .

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Hey , I know you're in a rush . I know

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you're solving an immediate problem . I

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know you're solving a problem . That's

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gonna say life right now . But could

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you just make this one tweet ? If you

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could make this one tweet ? My life

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would be so much better . In fact ,

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everything would be much more efficient .

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So we take it as our responsibility ,

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not just to take the call all night ,

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which we will , but to take that call

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from five or three or two years ago .

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Two years from now , we're gonna take

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that future phone call as well because

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we are gonna be successful . I'm

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not sure if my team buys this as much

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as I can , but we're gonna be

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successful three years from now . If

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we're all standing in front of a bunch

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of bricks on the ground with bloody

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foreheads from beating our heads

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against those bricks . That's really my

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problem by having this brick wall , but

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we broke through that wall , the bricks

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are everywhere but everybody else

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thinks it was their idea that's winning

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for us , winning for us as everybody

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else thinks . Oh , I launched a I , I

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solved this data problem . I quickly

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leverage data to build an analytical

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solution that solved my commanders

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problem right away and I have the tools

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I have the infrastructure . I have the

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policies and I have the contract

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vehicles to deliver it . That's many .

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It's not quite where we are right now

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where we are right now is we can

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quickly have things together , we can

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quickly contract something , but the

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specs might not be as well thought out

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for the law as they need to be even

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though they're really well thought out

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for the immediate fight . And so , so

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our goal , a really important goal and

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look , I have this battle within ,

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within the org and I have this battle

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within the department . There's a large

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fashion that wants us to focus only on

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the fight tonight and I totally

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understand that I've never been a war

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fighter but I was pressured . FP si ,

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have a , for 12 years . I have a sense

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of the way war fighters think marines .

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I'm sure you're in the audience . I

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definitely have a sensible way . You

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think ? It's fascinating .

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Hey , are you here ? You can get at me

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later .

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So I've never gonna work by it , but I

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really get that right . I get it . But

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I also get using the marine analogy

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that if the backpack , the backpack is

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uh only so big and if it contains that

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doesn't work , it's gonna get , that is

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gonna get left in the sand . So we're

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trying really hard to strike the

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balance between the bi night and the

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long term giving advice . That that's

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my , how did we approach this ? You all

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heard this as well ? How did we

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approach this ? I asked when we first

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arrived ? Well , what's the most

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important thing that we have to build

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if we're going to build ? Now , one of

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the reasons for merging data analysis

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and A I guess uh it , it is so that we

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can have a unified strategy across data

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and , and A I , well , the problem with

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Unified Strategy , Michael Brown , I

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think you're gonna agree with me on

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this general . I'm not sure we are ,

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but I saw you earlier . Uh There he is

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the problem with the Unified Strategy

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is one part wins . And another part

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suffers if you have three distinct

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organizations , they all get to push

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their strategy . But for a unified

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strategy against data analytics and A I ,

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well , then we have to actually

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prioritize . So I I wish my view is the

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right thing to do . We should actually

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build the right thing first . Well ,

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ideally not slowing anybody down

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because that's a tough balance . I try

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really hard on that one . That's a

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tough balance . So what is building the

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right first ? Well , we thought really

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hard about this hierarchy of means .

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Not sure you all have heard me talk

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about and the h he has in the bottom

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data quality . Why do we have data

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quality as the , the , the the

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foundational thing that we have to

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build is not A I . Well , remember my

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goal is this balance between the long

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term getting and right in the fight

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tonight . So if we only cared about by

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tonight , that data quality isn't that

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important ? Long term data quality .

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Isn't that important ? We could

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actually just contract out a stovepipe

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solution . And for my entire career ,

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I've heard people talk about how

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horrible stovepipe solutions are .

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However , if we're only gonna focus on

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the fight tonight , what do you think ?

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We buy stovepipe solutions ? I get it .

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I I this is not a criticism . This is

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an analysis of how we got where we are .

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We want to go fast . Someone has an

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answer . We buy that answer . That

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answer is a particular answer . Not a

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Generali . And so we buy another ticket ,

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answer , not a general liable one . And

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the navy buys a third and the army buys

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a four and they don't talk to each

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other . Why ? Because we were going

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fast , going fast is good . Building in

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a scalable way while still going faster .

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So that's what we're trying to do . And

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so data quality is the most important

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aspect of that because what is A I

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without quality data ? What's a I ?

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Mhm Anybody

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did you ask have a person to leave ,

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please be be what is

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artificial intelligence ? A big pile of

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math makes guesses a big pile of math

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and makes guesses wrong . It's a big

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pile of math . The next guess is using

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a big pile of paper . That's the

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process I shouldn't said right ? You

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are 100% right ? I really appreciate

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you being here .

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So for us A I statistics at

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scale and what does it mean to be

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statistics at scale ? It means we count

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the past . I'm sure you've always said

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this before , but we count the past to

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predict the future . How do you counter

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that ? You have high quality data

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that tells you what the past is up

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on top of the high quality data layer .

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We have the analytics and metrics

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lately and this is why that is such an

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important part of being part of the

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team because I I uh not only drives a

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huge part of the high quality data ,

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but also drives the analytic layer ,

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those those dashboards that we need to

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figure out uh how many things we have ,

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what we have , where we have , where

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are our troops , you know , uh I'm

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being repetitive , but I'm pretty sure

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80% of the demand for A I is really

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satisfiability by high quality data

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dashboard . So you can see where your

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stuff is . So that's the next layer and

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then find A I on top of that . Now , I

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don't mean this hierarchy of needs to

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be uh a terrible hierarchy . I don't

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mean it to be oh like my piece , we

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have a whole bunch of enablers under

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the high quality . I see you . We

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have a whole bunch of neighbors under

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the high quality . Those neighbors

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include this fantastic CIU Cio .

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Uh um what's the government cloud

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JWCC ? So I work out our contract . If

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we didn't have that , we wouldn't be

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able to build that stuff . I mean we

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could , but this is really gonna allow

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us to scale . So having the right

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contracts for the right infrastructure

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that's extremely important . Uh How

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about talent as we are the functional

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community manager for 11

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new te 11 new uh tech roles ,

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digital roles within the department of

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that , which include data analysts , uh

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um data scientist , data engineer , uh

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A I AM L scientist . There's a whole

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bunch 10 distinct um new roles

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and you'll be shy of the power of

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simply going and , and uh well , you'll

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see this as you go throughout the

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symposium and the power of actually

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just telling people that what they're

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actually doing is this new role .

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Because if you code these roles

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correctly , if you code bills correctly

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for these new roles . Well , what

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happens ? Well , organically suddenly

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can under those rules , organically ,

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people hire people uh against the

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requirements for people who can , can

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do those things . And simultaneously we

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provide the training to executives ,

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the training to middle management and

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Pythons from schools , then we can

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start to see talent across the whole .

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And that's a big part of CB a job .

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How about you , sir ? Like

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1015 minutes .

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So why are we doing this ?

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Imagine the world where combatant

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commands can see everything they need

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to see the next strategic decisions .

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Imagine a world where those Kabbalah

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commanders aren't getting that

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information via powerpoint are getting

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that information via email across

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uh or the turnaround time for

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situational awareness of what's going

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on . Shrinks from a day or 2 to 10

14:53.280 --> 14:56.280
minutes . How do we build that ?

14:57.210 --> 14:59.377
Well , we will that work lots of way .

14:59.377 --> 15:02.020
So one of the key things is uh high

15:02.030 --> 15:04.659
quality data that's accessible ,

15:04.900 --> 15:08.869
discoverable , accessible and available

15:08.880 --> 15:11.030
to you to build an app on top of it

15:11.039 --> 15:13.261
very quickly in a way that gotten about

15:13.549 --> 15:17.219
music . How in the world where the

15:17.229 --> 15:20.030
view that the bath man has doesn't stop

15:20.039 --> 15:23.380
the boundaries of their A or because I

15:23.390 --> 15:25.557
don't know if you look at that but the

15:25.557 --> 15:27.779
boundaries of one A or is the beginning

15:27.779 --> 15:29.723
of the next A or , and things move

15:29.723 --> 15:29.619
across those boundaries all the time ,

15:30.080 --> 15:32.280
wouldn't it be great ? The same data

15:32.289 --> 15:35.080
layer , the same data layer that

15:35.090 --> 15:38.039
provided setcom with a view of the

15:38.049 --> 15:41.010
world also provided you with the same

15:41.020 --> 15:43.131
view of the world . Now , you doesn't

15:43.131 --> 15:45.353
have to look across everything but they

15:45.353 --> 15:47.576
can , they can track things that may be

15:47.576 --> 15:49.631
coming in their way . They can track

15:49.631 --> 15:51.909
things that set c say , hey , you work ,

15:52.039 --> 15:55.640
right ? And uh uh from San , you could

15:55.650 --> 15:57.817
go through a canal or two and suddenly

15:57.817 --> 16:00.799
you're in into pay off . Well , that's

16:00.809 --> 16:02.920
great knowing that that's happening .

16:02.920 --> 16:05.330
Knowing that allowing for that data to

16:05.340 --> 16:07.619
easily flow and be picked up by the

16:07.820 --> 16:10.909
combat man , that's what we mean by

16:10.919 --> 16:12.919
high quality data . And we see this

16:12.919 --> 16:16.919
high quality data in a database . This

16:16.929 --> 16:19.151
is where it's really valuable for , for

16:19.151 --> 16:21.318
an industry to help us out . We really

16:21.318 --> 16:23.540
need your help . What do we mean by the

16:23.540 --> 16:25.540
mesh ? I've said this before . It's

16:25.540 --> 16:27.596
still a buzz phrase . I'm gonna tell

16:27.596 --> 16:29.849
exactly what I mean by it that the data

16:29.859 --> 16:32.909
stays where the data is . It's not

16:32.919 --> 16:35.020
necessarily , you can put it into a

16:35.030 --> 16:37.141
light . I don't care , but I mostly I

16:37.141 --> 16:39.390
don't care where the data is and the

16:39.400 --> 16:41.909
best place for the data is with the

16:41.919 --> 16:44.150
owners of the data . People understand

16:44.159 --> 16:46.492
the data , the most understand the best .

16:46.940 --> 16:49.380
That's number one , number two is

16:49.390 --> 16:52.179
successful via an API and we've been

16:52.190 --> 16:54.409
working really hard with both industry

16:54.419 --> 16:56.363
and our body to make it as easy as

16:56.363 --> 16:58.475
possible to find data through the big

16:58.475 --> 17:00.570
diagram . Number three , it's

17:00.580 --> 17:02.900
essentially discovered . I think that's

17:02.909 --> 17:04.909
the one major thing that government

17:04.909 --> 17:07.020
owns in this story . Government owns

17:07.030 --> 17:09.619
the the catalog , government owns the

17:09.630 --> 17:12.920
catalog and the list of metadata that

17:12.930 --> 17:14.930
as you publish your data , I have a

17:14.930 --> 17:17.041
data set . This data set is available

17:17.041 --> 17:20.800
the following API here's the meta data

17:20.810 --> 17:23.479
about my data set . And number four ,

17:23.489 --> 17:26.030
it's owned by somebody as a product .

17:26.310 --> 17:28.729
Here's the person you talk to if you

17:28.739 --> 17:31.780
want access to this data . Now the

17:31.790 --> 17:33.957
policy teams can tell me there's a lot

17:33.957 --> 17:35.734
of order a data match , there's

17:35.734 --> 17:37.679
computational governance , there's

17:37.679 --> 17:39.901
computational analysis of make sure the

17:39.901 --> 17:41.901
policies are in place . And I think

17:41.901 --> 17:41.890
that's great , but these are the things

17:41.900 --> 17:44.910
that drive it from . Why do we want

17:44.920 --> 17:46.976
ownership ? Let me , let me , let me

17:46.976 --> 17:49.310
pull that thread for a second again ,

17:49.319 --> 17:51.375
being repetitive . I think it really

17:51.375 --> 17:53.375
worth it's really worth repeating .

17:55.760 --> 17:57.760
That's a great question . I have an

17:57.760 --> 17:59.000
answer to it . So

18:02.229 --> 18:04.285
we traditionally say that data is an

18:04.285 --> 18:08.199
asset and I think that's true but

18:08.209 --> 18:10.265
it's not , doesn't come to the whole

18:10.265 --> 18:12.689
story . Data has an asset . Well , an

18:12.699 --> 18:16.119
asset is fungible data is not data

18:16.130 --> 18:19.969
specific an asset uh is it has

18:19.979 --> 18:22.201
value in it of itself . So the more you

18:22.201 --> 18:24.479
have , the more value you have . That's

18:24.489 --> 18:26.660
not true of that at all . I don't care

18:26.670 --> 18:28.892
how much that you have . No one's using

18:28.892 --> 18:31.510
it . It's useless . Data is only

18:31.520 --> 18:34.459
valuable if it has customers .

18:35.500 --> 18:37.589
But are customers , customers are

18:37.599 --> 18:40.459
people to whom you make process , the

18:40.469 --> 18:42.691
data will be of the following quality .

18:42.691 --> 18:44.580
The data will be of the following

18:44.580 --> 18:46.969
latency . There will be back bills

18:46.979 --> 18:50.189
within a month . Whatever the promises

18:50.199 --> 18:52.430
you make about your data set as the

18:52.439 --> 18:54.495
data owner . So we call it data as a

18:54.495 --> 18:56.800
product and the owner is a product

18:56.810 --> 19:00.189
manager that whatever promises you make ,

19:00.199 --> 19:02.366
your customers should be able to count

19:02.366 --> 19:04.088
on them and then you should be

19:04.088 --> 19:06.310
evaluated by delivering against that .

19:07.000 --> 19:09.167
What we , what we evaluate now is , do

19:09.167 --> 19:12.630
you have a bunch of data ? Ok . Not so

19:12.640 --> 19:15.130
great . I think what we should evaluate

19:15.140 --> 19:17.339
against is how many customers are

19:17.349 --> 19:19.349
getting value from your data ? What

19:19.349 --> 19:21.489
value are they getting ? What , what

19:21.500 --> 19:23.556
feedback can I get to your customers

19:23.556 --> 19:25.722
that tell me that without their data ,

19:25.722 --> 19:27.944
they couldn't have won that data , they

19:27.944 --> 19:29.889
couldn't have done their job . The

19:29.889 --> 19:31.889
value of the data is the value that

19:31.889 --> 19:34.400
brings to the customer serves and ask

19:34.410 --> 19:36.632
the question . That's the definition of

19:36.632 --> 19:38.466
quality . We're not gonna have a

19:38.466 --> 19:40.410
unified . So the question is , how

19:40.410 --> 19:42.466
would you modify high quality data ,

19:42.466 --> 19:44.688
garbage , garbage out . And what if you

19:44.688 --> 19:46.743
don't have quality data ? Well , the

19:46.743 --> 19:46.589
way we have to do this is to sign

19:46.599 --> 19:48.710
ownership each of these data products

19:48.750 --> 19:51.369
and that person who owns it , their job

19:51.380 --> 19:54.109
rating is dependent upon it , serving

19:54.119 --> 19:56.290
value for the customers of that data .

19:56.560 --> 19:58.282
And if it serves value for the

19:58.282 --> 20:00.393
customers with that data , that's how

20:00.393 --> 20:03.050
we OK .

20:05.560 --> 20:08.130
So high quality data and data mesh

20:09.810 --> 20:13.719
uh combat demands one example , another

20:13.729 --> 20:16.079
example . But if we have data , not

20:16.089 --> 20:18.770
just uh from the battlefield , but from

20:18.780 --> 20:20.891
the board room to the battlefield and

20:20.891 --> 20:23.540
it's all in this data mesh . And uh

20:23.550 --> 20:25.717
well , the talent board has done their

20:25.717 --> 20:28.199
job like I just described . So there's ,

20:28.209 --> 20:30.376
there's sufficiently trained , I won't

20:30.376 --> 20:32.510
say highly trained , sufficiently

20:32.520 --> 20:35.660
trained data and A I practitioners

20:36.040 --> 20:38.640
distributed across the course . And

20:38.650 --> 20:40.761
what if the policy has done their job

20:41.609 --> 20:45.180
and contracting has done their job and

20:45.189 --> 20:47.630
the infrastructure team has done their

20:47.640 --> 20:50.589
job . So that one of these well trained

20:50.689 --> 20:54.430
soldiers , sailors , guardians , airmen

20:54.439 --> 20:57.410
or marines uh

20:59.239 --> 21:01.329
sees a problem that wants to fix it

21:01.949 --> 21:03.949
right now . If they see a problem ,

21:03.949 --> 21:06.469
they wanna fix it . It's a , it's

21:06.479 --> 21:09.229
either slightly un Kosher hacked

21:09.239 --> 21:12.819
together or it can't be done . We wanna

21:12.829 --> 21:14.979
make it as easy as possible for those

21:14.989 --> 21:17.890
closest to the problem to find the data ,

21:17.920 --> 21:20.750
have the tools have the policies have ,

21:21.150 --> 21:23.609
have the authorization authority to be

21:23.619 --> 21:25.750
able to quickly build a solution . I

21:25.760 --> 21:27.538
didn't say that quickly build a

21:27.538 --> 21:30.390
solution , quickly run it from TNE ,

21:30.400 --> 21:33.339
quickly get approval to operate and

21:33.349 --> 21:35.627
quickly deploy it in a sustainable way .

21:36.359 --> 21:38.581
That's really hard for those of you who

21:38.581 --> 21:40.637
don't know all of the pieces there .

21:40.637 --> 21:42.803
That's extremely hard . But that's our

21:42.803 --> 21:44.692
vision , our vision is to get the

21:44.692 --> 21:46.803
policy right , to get the authorizing

21:46.803 --> 21:49.026
the authorities to operate , right , to

21:49.026 --> 21:51.026
get acquisitions right , to get the

21:51.026 --> 21:53.137
infrastructure , right . So , so what

21:53.137 --> 21:55.359
do we invite infrastructure here here ?

21:55.359 --> 21:57.248
We , we , we talk a lot about A I

21:57.248 --> 21:59.470
scathing A I scaffolding . So why don't

21:59.470 --> 22:01.303
we , why don't we talk about A I

22:01.303 --> 22:00.420
scolding ?

22:07.109 --> 22:09.165
Uh I'll just stop . Can you guys not

22:09.165 --> 22:11.331
show me the questions because you show

22:11.331 --> 22:10.930
me the questions . I'm gonna be reading

22:11.109 --> 22:14.469
the whole time . Show it . Yeah .

22:15.020 --> 22:18.770
Uh I don't think it

22:18.780 --> 22:22.209
makes that much sense for most

22:22.219 --> 22:26.180
problems for . Well , it's unclear to

22:26.189 --> 22:28.390
me . So I'll just say I'm not sure the

22:28.400 --> 22:30.511
degree to which the problem with that

22:30.680 --> 22:34.619
should be building A I why ?

22:34.989 --> 22:38.189
Because industry is great at that . We

22:38.199 --> 22:40.143
should be paying industry to build

22:40.143 --> 22:42.143
models because they are going to be

22:42.143 --> 22:44.199
always on the cutting edge . They're

22:44.199 --> 22:44.199
always gonna be doing the , they have

22:44.209 --> 22:46.489
the newest sexiest thing , language

22:46.500 --> 22:48.667
model , uh large language models , not

22:48.667 --> 22:51.140
standing the newest sexiest thing .

22:51.150 --> 22:53.206
They're always gonna have the newest

22:53.206 --> 22:55.317
possible solutions and they're always

22:55.317 --> 22:56.872
gonna be experimenting it ,

22:56.872 --> 22:59.039
experimenting with these tools in ways

22:59.039 --> 23:01.261
that we are not gonna have time to . So

23:01.261 --> 23:01.069
let's just assume for a second that

23:01.079 --> 23:03.135
industry builds the models . I don't

23:03.135 --> 23:05.357
think that's always gonna be the case .

23:05.357 --> 23:07.468
I think we'll have citizen or soldier

23:07.468 --> 23:09.579
um uh data scientist who are building

23:09.579 --> 23:11.857
some models but most of the big models ,

23:11.857 --> 23:13.801
um II , I don't think we should be

23:13.801 --> 23:15.579
building . I think it should be

23:15.579 --> 23:17.690
building . But what should we build ?

23:17.690 --> 23:19.968
We should own . Meaning the government ,

23:20.339 --> 23:22.561
everything on the left and the right of

23:22.561 --> 23:25.119
the P . That's what I call ACOP . So

23:25.130 --> 23:27.408
what's on the left of the mouth ? Oops ,

23:27.408 --> 23:29.463
sorry , left of the ball . What's on

23:29.463 --> 23:31.519
the left of the model are two of the

23:31.519 --> 23:33.979
hardest things that nobody wants to do .

23:34.829 --> 23:37.050
Nobody . What's the hardest part about

23:37.060 --> 23:38.227
building A I model ?

23:40.449 --> 23:43.390
Getting the data number one , getting

23:43.400 --> 23:45.829
the data . But people forget the

23:45.839 --> 23:48.250
following , getting the data . Doesn't

23:48.260 --> 23:50.316
mean just putting it all in the same

23:50.316 --> 23:52.371
directory because sometimes it's the

23:52.371 --> 23:54.316
PDF , sometimes it's the word do ,

23:54.316 --> 23:56.739
sometimes it's Excel , sometimes it's

23:56.750 --> 23:58.910
actually in a structured database .

23:58.920 --> 24:01.250
Sometimes it's in a no SQL database .

24:01.270 --> 24:03.381
There's a million different ways that

24:03.381 --> 24:07.119
data can be . Should you and your team

24:07.130 --> 24:09.352
out there have to figure all that out .

24:09.459 --> 24:11.640
No , we want to find a contract with

24:11.650 --> 24:13.761
the tools , the capability for you to

24:13.761 --> 24:15.706
come to us . Uh not talking to the

24:15.706 --> 24:18.369
government folks uh to come to us and

24:18.380 --> 24:20.959
be able to quickly find the tooling

24:20.969 --> 24:23.670
they need or quickly contract with the

24:23.680 --> 24:25.791
vendors in the audience to be able to

24:25.791 --> 24:27.958
make that transformation for you . Get

24:27.958 --> 24:30.750
the deal . Labeling data is the part

24:30.760 --> 24:34.420
that everybody ignores but it is the

24:34.430 --> 24:37.760
IP that matters your labels . You as

24:37.770 --> 24:39.881
war fighters , I talk to war fighters

24:39.881 --> 24:42.369
for a second are the experts . You know

24:42.380 --> 24:45.079
what a means ? You know what B means ?

24:45.640 --> 24:47.696
The , the contractor sitting next to

24:47.696 --> 24:49.918
you might know something but they don't

24:49.918 --> 24:51.862
know it as well as you do . So the

24:51.862 --> 24:54.640
government , the military IP is the

24:54.650 --> 24:57.959
label data . It's also the hardest

24:57.969 --> 25:00.609
thing to do and nobody wants to do it .

25:01.000 --> 25:04.949
Nobody . Luckily we built contracts

25:04.959 --> 25:06.848
with companies like scale A I and

25:06.848 --> 25:10.520
others . Well , where uh members of the

25:10.530 --> 25:12.586
department can come to us , use that

25:12.586 --> 25:15.150
contract work through what data they

25:15.160 --> 25:17.216
need to solve their problem and they

25:17.216 --> 25:19.880
will help label that data for you . So

25:20.170 --> 25:23.030
industry , if you're gonna be helpful

25:23.040 --> 25:25.770
with data transformation , if you can

25:25.780 --> 25:28.500
be helpful with data labeling , if you

25:28.510 --> 25:30.566
could be helpful on the other side ,

25:30.566 --> 25:32.899
data monitoring , say about that second ,

25:32.899 --> 25:34.954
then that's how we need to work with

25:34.954 --> 25:37.040
you . We need to build the right

25:37.050 --> 25:39.280
contracts . Have a suite of companies

25:39.650 --> 25:41.761
that people inside the department can

25:41.761 --> 25:43.983
come to us and say here's the problem I

25:43.983 --> 25:46.119
want to solve and then we can solve

25:46.130 --> 25:48.297
with , here's the data that you need ,

25:48.297 --> 25:50.408
here's how you have to transform that

25:50.408 --> 25:52.408
data and here's how you have to get

25:52.408 --> 25:54.630
like and if I just say to those folks ,

25:54.630 --> 25:56.741
OK , see you later . Nothing will get

25:56.741 --> 25:58.908
done . So I'm gonna need you all to be

25:58.908 --> 26:01.074
there with me with the right contracts

26:01.074 --> 26:03.019
already in place to be able to say

26:03.019 --> 26:05.130
great money from that team will go on

26:05.130 --> 26:07.186
these contracts . But David labeling

26:07.186 --> 26:09.349
will get done , the data

26:09.359 --> 26:11.470
transformations will get done . Let's

26:11.470 --> 26:13.581
talk about model logic for a moment .

26:14.069 --> 26:18.040
One of the things that really struck me

26:18.050 --> 26:21.699
an industry even more so than the OD is

26:21.709 --> 26:24.800
how we shift and forget models , we

26:24.810 --> 26:27.140
just ship them and for them . Well ,

26:27.150 --> 26:29.317
what's the problem with that ? What do

26:29.317 --> 26:31.483
they say in the beginning ? Like A I ?

26:31.483 --> 26:33.650
Is , is he taking notes for the hold ?

26:33.770 --> 26:35.770
Do you just write down notes for my

26:35.770 --> 26:39.150
whole ? Uh All right , a lot of

26:39.160 --> 26:40.993
language models , we were really

26:40.993 --> 26:43.520
involved with that . Actually , there's

26:43.530 --> 26:45.419
one where I think I see you a lot

26:45.419 --> 26:49.300
probably actually work great uh to

26:53.160 --> 26:55.989
thank you . Shouldn't forget that .

26:58.420 --> 27:02.030
So , so look , when we , when we build

27:02.040 --> 27:04.719
these models , we train them from the

27:04.729 --> 27:08.119
past , we ask about the past , what is

27:08.130 --> 27:10.297
A and what to speak ? Why ? Because we

27:10.297 --> 27:12.297
only have past data , we don't have

27:12.297 --> 27:14.408
data on the future , doesn't matter ,

27:15.160 --> 27:18.609
sorry , doesn't exist . So we ask uh

27:18.619 --> 27:20.841
what's a , what's B , what's A , what's

27:20.841 --> 27:22.841
a speed we build the model ? We not

27:22.841 --> 27:24.897
don't forget A and B in that model .

27:25.250 --> 27:27.989
That story about , about training from

27:28.000 --> 27:30.359
the past to predict the future under

27:30.369 --> 27:32.313
what conditions will that model be

27:32.313 --> 27:35.689
successful . If the world in the

27:35.699 --> 27:38.219
future is sufficiently similar to the

27:38.229 --> 27:41.069
world in the past . If the world in the

27:41.079 --> 27:43.135
past is not sufficiently some of the

27:43.140 --> 27:45.029
world in the future , you model ,

27:47.400 --> 27:51.290
if the world changes your model

27:51.300 --> 27:53.949
won't work or it won't work as well .

27:54.439 --> 27:57.449
We all forget this for some reason , we

27:57.459 --> 28:00.510
all forget this . We use model metrics

28:00.630 --> 28:04.469
like like accuracy or , or

28:04.479 --> 28:07.510
regression metrics , um like some of

28:07.520 --> 28:10.000
squared error root , mean squared error

28:10.270 --> 28:12.439
like that or we do things like f score

28:12.449 --> 28:14.920
precision recall . That's all great .

28:14.930 --> 28:16.874
But that's all . How well does the

28:16.874 --> 28:19.219
model fit the data in the past ? We

28:19.229 --> 28:21.709
have to continually monitor about

28:21.719 --> 28:23.830
whether that model is solving our use

28:23.830 --> 28:26.790
case in the future . Now , how many

28:26.800 --> 28:28.969
were writers in the room as you have

28:29.160 --> 28:33.020
this problem ? There you go uh in a

28:33.030 --> 28:35.890
battle . How much does the world stay

28:35.900 --> 28:39.119
the same ? Not very much

28:39.130 --> 28:42.630
stuff blows up , things change .

28:43.630 --> 28:46.160
Well , you if we were trying to drive a

28:46.170 --> 28:48.392
truck driving down the street while the

28:48.392 --> 28:50.448
notion of the street is something to

28:50.448 --> 28:52.559
change , it's got big craters in it ,

28:52.559 --> 28:55.500
for example , right ? So , so assuming

28:55.670 --> 28:57.670
that the world is going to stay the

28:57.670 --> 28:59.859
same is falling . So we're working

28:59.869 --> 29:02.036
really hard . We don't have this yet .

29:02.036 --> 29:04.202
Look for this in 24 these other things

29:04.202 --> 29:06.147
uh uh data labeling as a service .

29:06.147 --> 29:08.619
We're close to release that broadly ,

29:08.640 --> 29:10.900
but we already have that piloting and

29:10.910 --> 29:13.089
um we're just getting started on data

29:13.099 --> 29:16.260
transformation as a service . Um I know

29:16.270 --> 29:18.326
some folks got that emailed me about

29:18.326 --> 29:20.548
that . We , we're definitely want to do

29:20.548 --> 29:22.603
the transmission as a service . It's

29:22.603 --> 29:24.659
extremely important . Uh But in 2024

29:24.659 --> 29:26.714
please be on the lookout about model

29:26.714 --> 29:28.770
monitoring this service . Now , what

29:28.770 --> 29:28.630
does that mean for you ? What does that

29:28.640 --> 29:30.751
mean for your industry ? If you build

29:30.751 --> 29:32.918
this model , it's gonna have to have a

29:32.918 --> 29:34.807
container , it's gonna have to be

29:34.807 --> 29:37.029
containerized in particular ways . It's

29:37.029 --> 29:39.251
gonna have to have a particular books .

29:39.251 --> 29:38.839
It does have to use particular

29:38.849 --> 29:41.410
infrastructure . Don't care which

29:41.420 --> 29:43.198
infrastructure folks across the

29:43.198 --> 29:45.209
department use don't have a strong

29:45.219 --> 29:47.330
opinion that everybody has to use the

29:47.330 --> 29:49.386
same model , training pipeline , the

29:49.386 --> 29:51.608
same model for the pipeline do not have

29:51.608 --> 29:53.497
a strong opinion at all . I would

29:53.497 --> 29:56.359
rather let heterogeneity win . I say

29:56.369 --> 29:58.425
that again because I want you all to

29:58.425 --> 30:00.536
hear it because it's what I need from

30:00.536 --> 30:02.202
you . As desperate partners ,

30:02.202 --> 30:04.369
heterogeneity has to win . It doesn't

30:04.380 --> 30:07.530
make any sense for something as complex

30:07.540 --> 30:10.729
as A I and as distributed as the US

30:10.739 --> 30:12.750
department of defense to say that

30:12.760 --> 30:15.670
there's one pheno solution that makes

30:15.680 --> 30:19.160
zero sense . Plus if only one V

30:19.390 --> 30:21.530
wins , there's a lot of lawsuits

30:24.439 --> 30:26.050
that was on the record for .

30:28.250 --> 30:31.709
So Joe all joking aside , I don't even

30:31.719 --> 30:33.830
care about that aspect of it . What I

30:33.830 --> 30:35.941
care about is that the right solution

30:35.941 --> 30:38.630
for the right job in the right place .

30:38.640 --> 30:40.910
Is what we get to build . So we wanna

30:40.920 --> 30:43.750
build this A I scouting in such a way

30:44.109 --> 30:46.619
that vendors can show up to play ,

30:46.810 --> 30:50.050
understanding the rules and that uh

30:50.060 --> 30:52.116
model builders within the department

30:52.116 --> 30:54.282
can come to us and say I have to build

30:54.282 --> 30:56.393
the following kind of models . And we

30:56.393 --> 30:58.560
have the playbook which includes the ,

30:58.560 --> 31:00.727
the betters who know how to follow the

31:00.727 --> 31:02.893
rules , who abided by the right rule .

31:03.239 --> 31:05.461
And we're working very hard on this and

31:05.461 --> 31:07.683
you're gonna see a lot of this . Please

31:07.683 --> 31:09.795
pay attention to this as you're going

31:09.795 --> 31:11.961
around the symposium these next couple

31:11.961 --> 31:14.660
of days , everything I'm saying , let

31:14.670 --> 31:16.449
me make sure I get that right .

31:18.680 --> 31:20.847
I'm pretty sure most things I'm saying

31:20.847 --> 31:24.239
now are well under way . Actually ,

31:24.250 --> 31:26.417
everything saying now is going the way

31:26.969 --> 31:29.080
and over the next year we're gonna do

31:29.080 --> 31:31.430
even more . But the point of this

31:31.439 --> 31:34.199
symposium , both for government and for

31:34.209 --> 31:36.376
industries to let you know where we're

31:36.376 --> 31:39.280
at . We were too quiet . We should have

31:39.290 --> 31:41.512
let you know a little bit more loudly .

31:42.170 --> 31:44.337
We're gonna fix that going forward and

31:44.337 --> 31:46.559
we're gonna start it with this simple .

31:46.559 --> 31:48.781
These are our goals . The things that I

31:48.781 --> 31:50.892
said are our goals . We need to build

31:50.892 --> 31:53.114
up this hierarchy of needs . We need to

31:53.114 --> 31:55.281
build a data mesh , we need to build A

31:55.281 --> 31:57.430
I scaping , we need to build um

31:57.439 --> 32:01.430
contracting and policy . That's agile ,

32:01.439 --> 32:04.920
responsive and fast . That cost by .

32:06.459 --> 32:08.570
All right , Bonnie runs trade winds .

32:08.570 --> 32:10.792
If you don't know about trade winds get

32:10.792 --> 32:13.260
on trade winds . Yeah , there'll be

32:13.270 --> 32:15.492
plenty of people dying to tell you that

32:15.492 --> 32:17.492
there have been companies who got a

32:17.492 --> 32:20.719
contract in , in 13 days , 13 days ,

32:22.050 --> 32:24.510
trade links get on trade . It's also

32:24.520 --> 32:28.250
try A I but we

32:28.260 --> 32:30.204
can't do this without you . All of

32:30.204 --> 32:32.427
these components that we're envisioning

32:32.427 --> 32:34.949
are going to be collections of

32:34.959 --> 32:37.229
industrial solutions with the right

32:37.239 --> 32:40.130
contracting . There's already been rfis

32:40.140 --> 32:42.550
for data mesh , respond to them , there

32:42.560 --> 32:45.030
will be RMIS for model monitoring ,

32:45.219 --> 32:48.140
respond to them . We can't do this

32:48.150 --> 32:51.209
without you nor do we want to . I like

32:51.219 --> 32:55.130
the , the uh uh I love everybody

32:55.140 --> 32:57.790
whose belief is to save taxpayer money .

32:57.880 --> 32:59.936
I think that's a great thing . I'm a

32:59.936 --> 33:02.569
taxpayer . Another . Sure God is the

33:02.579 --> 33:05.359
right motion . I would much prefer to

33:05.369 --> 33:07.719
have the experts building what we need

33:07.729 --> 33:11.459
built and add the fast way . So

33:11.770 --> 33:13.770
that's what we're working towards .

33:13.839 --> 33:16.020
That's how you can see over the next

33:16.829 --> 33:20.589
day and a half , 2.5 days . Uh And

33:20.599 --> 33:23.160
please over the next year , over 2024

33:23.170 --> 33:25.939
pay attention to request that we have

33:25.949 --> 33:27.838
it . Oh , by the way , every talk

33:27.838 --> 33:30.329
should have a contact email and I'm not

33:30.339 --> 33:33.699
giving you my , but every talk should

33:33.709 --> 33:35.949
have a contact email and it should be

33:35.959 --> 33:38.126
up on the slide and they're done . And

33:38.126 --> 33:40.348
if it doesn't go over and ask for their

33:40.348 --> 33:42.459
contact information , we want this to

33:42.459 --> 33:44.348
be the beginning of a very strong

33:44.348 --> 33:46.126
interaction with our government

33:46.126 --> 33:48.459
partners and with our industry partners .

33:48.459 --> 33:50.459
We're very excited about what we've

33:50.459 --> 33:52.515
done over the last year . It's , I'm

33:52.515 --> 33:54.570
shocked by how much great work we've

33:54.570 --> 33:56.681
gotten done in the year and excited .

33:56.681 --> 33:58.848
Shocked . I'm excited . Not like I got

33:58.848 --> 34:01.070
you guys . I'm , I'm very excited about

34:01.070 --> 34:03.292
all the way to what we've got done over

34:03.292 --> 34:05.459
the last year . And I'm really excited

34:05.459 --> 34:07.459
about what we get done in 2024 . So

34:07.459 --> 34:09.600
please ask questions , push hard

34:09.610 --> 34:12.260
challenge us . Tell us we're crazy .

34:12.270 --> 34:14.326
None of us will be offended . I told

34:14.326 --> 34:16.548
you our view of winning is that you all

34:16.548 --> 34:18.770
think it's your idea . That's fine with

34:18.770 --> 34:21.409
me . OK ? And um I think I have a slide ,

34:21.419 --> 34:23.629
a final slide that tells you the kind

34:23.639 --> 34:25.639
of things you can look for over the

34:25.639 --> 34:27.879
next year . We're gonna be publishing

34:27.889 --> 34:30.719
our API S uh for government data and

34:30.729 --> 34:32.896
our Federated data , data catalogs and

34:32.896 --> 34:35.679
developers . But those folks have to

34:35.689 --> 34:38.479
agree to share their data products in

34:38.489 --> 34:41.550
that time . So that's gonna be breaking .

34:41.560 --> 34:43.616
That's gonna be changing the rules a

34:43.616 --> 34:46.979
little bit hoarding your API S . So I

34:46.989 --> 34:49.045
understand the contracts now say the

34:49.045 --> 34:51.267
data officially belongs to us , but the

34:51.267 --> 34:53.433
data that officially belongs to us and

34:53.433 --> 34:56.770
the Terabyte Json is not useful . OK ?

34:57.629 --> 34:59.851
The day that officially belonging to us

35:00.239 --> 35:03.959
successful via an API Don't worry , I

35:03.969 --> 35:06.302
want you to make money for these things .

35:06.302 --> 35:08.302
We can talk about what the contract

35:08.302 --> 35:10.358
looks like . And if , if you have ID

35:10.358 --> 35:12.580
behind that , let's talk about the cost

35:12.580 --> 35:14.636
of being able to use that . IP iii I

35:14.636 --> 35:17.489
want you to think about not um is this

35:17.500 --> 35:19.667
gonna make me lose money ? But how can

35:19.667 --> 35:21.778
I switch the mentality and still make

35:21.778 --> 35:23.722
money ? That's the conversation we

35:23.722 --> 35:25.833
wanna have . But we really do need to

35:25.833 --> 35:27.889
be having folks who come to play and

35:27.889 --> 35:29.944
who have put together data the right

35:29.944 --> 35:32.167
way , make that data accessible through

35:32.167 --> 35:35.250
the cat . OK ? We'll be creating a hub

35:35.260 --> 35:37.260
of label data and the collection of

35:37.260 --> 35:39.371
test and evaluation tools . Oh By the

35:39.371 --> 35:41.371
way , our TV tools are just kicking

35:41.371 --> 35:43.427
butt . Uh That , that team is really

35:43.427 --> 35:45.593
remarkable . If you haven't seen those

35:45.593 --> 35:47.427
tool kits look them up . I think

35:47.427 --> 35:47.379
they're about available available in a

35:47.389 --> 35:49.611
i.mil . Oh By the way , at some point ,

35:49.611 --> 35:51.833
we'll switch A I dot mail to CD A O dot

35:51.833 --> 35:54.056
ne . Uh things move slowly . I've tried

35:54.056 --> 35:57.850
that for a year now . Uh uh

35:57.860 --> 36:00.090
And so develop so developers to learn

36:00.100 --> 36:02.679
what does it mean to be a responsible

36:03.060 --> 36:05.227
uh to build a responsible A IR because

36:05.227 --> 36:07.729
we have clear views about that . Uh And

36:07.739 --> 36:09.739
we have a replicator up there as an

36:09.739 --> 36:11.683
example because there's an example

36:11.683 --> 36:14.179
where we are providing a hub of label

36:14.189 --> 36:17.020
data for the replicator participants to

36:17.030 --> 36:19.389
com and fill models together on that

36:19.399 --> 36:22.639
label data . So be on the lookout and

36:22.649 --> 36:26.449
more things like that uh the

36:26.459 --> 36:28.510
guide series of experimentation has

36:28.520 --> 36:30.798
driven so much of what we learned here .

36:30.798 --> 36:32.798
So much of what we just said that I

36:32.798 --> 36:34.853
just said in the last 40 minutes has

36:34.853 --> 36:36.798
been driven by the guide series of

36:36.798 --> 36:39.879
experimentation . Um There we have

36:39.909 --> 36:41.631
builders sitting right next to

36:41.631 --> 36:44.050
operators figuring out what's the right ,

36:44.060 --> 36:46.282
it's very agile figuring out what's the

36:46.282 --> 36:48.282
right flow . So you can get out the

36:48.282 --> 36:50.489
powerpoint email . So you can figure

36:50.500 --> 36:52.556
out how J two talks to J three in an

36:52.556 --> 36:54.979
efficient automated way as opposed to

36:54.989 --> 36:58.020
powerpoint indoor ski chair . Like it's

36:58.030 --> 37:00.252
remarkable to me the degree which these

37:00.252 --> 37:02.030
things still have really strong

37:02.030 --> 37:04.086
boundaries in it . Um So we're gonna

37:04.086 --> 37:06.308
continue that kind of experimentation .

37:06.308 --> 37:08.419
We're gonna drive more , be sponsored

37:08.419 --> 37:10.474
some hackathons . Uh And we have one

37:10.474 --> 37:12.641
more coming up um With the Air Force ,

37:12.641 --> 37:14.752
those hackathons were good , but they

37:14.752 --> 37:16.974
weren't good enough . We have to figure

37:16.974 --> 37:19.086
out the other piece , which is how do

37:19.086 --> 37:21.719
you go from a hack together solution to

37:21.729 --> 37:23.840
a sustainable solution that has clear

37:23.840 --> 37:26.007
evaluation and TNE criteria . So hacks

37:26.280 --> 37:28.224
are great for getting , have fun .

37:28.224 --> 37:30.391
Hackathons are great to come up with a

37:30.391 --> 37:32.502
quick idea . But one that quick ideas

37:32.502 --> 37:34.836
and we saw some that might think , gosh ,

37:34.836 --> 37:36.891
I wish that were deployed a deployed

37:36.891 --> 37:40.580
solution . But ok , so E

37:40.729 --> 37:43.000
five creates a solution in the

37:43.010 --> 37:45.580
hackathon . You deploy the war happens

37:46.000 --> 37:48.040
that E five goes somewhere else who

37:48.050 --> 37:50.050
fixes it in the middle of the night

37:50.050 --> 37:51.939
when it's broken , that is not an

37:51.939 --> 37:54.161
acceptable answer , right ? Half of the

37:54.161 --> 37:54.040
other solutions is not , are not

37:54.050 --> 37:55.994
acceptable answers . So we have to

37:55.994 --> 37:58.106
learn to be a like that and have them

37:58.106 --> 37:59.994
be deployed correctly . You'll be

37:59.994 --> 38:02.050
seeing more of that , those kinds of

38:02.050 --> 38:04.106
experimentation coming up . Uh We're

38:04.106 --> 38:03.790
gonna be expanding the trade mens

38:03.800 --> 38:05.744
ecosystem . Get on trades , get on

38:05.744 --> 38:07.800
trade points , get on trade points ,

38:07.800 --> 38:11.040
get on trade 13 day contract . Yeah ,

38:11.050 --> 38:13.580
that's it . Uh And as I already

38:13.590 --> 38:15.646
mentioned , we're gonna be coding uh

38:15.646 --> 38:18.060
positions for uh for the talent that

38:18.070 --> 38:21.600
they are uh using these new um these

38:21.610 --> 38:25.429
new dod positions and that alone is

38:25.439 --> 38:28.689
going to uh change the way commanders

38:28.699 --> 38:30.810
think about their workforces . II I ,

38:30.810 --> 38:32.921
this is one thing I've learned in the

38:32.921 --> 38:32.780
government . There are some

38:32.790 --> 38:34.901
bureaucratic things that are way more

38:34.901 --> 38:36.734
powerful than technical things .

38:36.734 --> 38:38.790
Telling a man you have 10 people who

38:38.790 --> 38:40.790
are data scientists even though you

38:40.790 --> 38:42.846
didn't know it . Three years later ,

38:42.846 --> 38:44.790
there'll be 10 people who are data

38:44.790 --> 38:46.957
scientists . That's why like that is a

38:46.957 --> 38:48.846
remarkable change . We're pushing

38:48.846 --> 38:50.846
really hard on that . And uh you'll

38:50.846 --> 38:52.957
hear there's gonna be a lot of talent

38:52.957 --> 38:55.179
talks and you're gonna hear a lot about

38:55.179 --> 38:54.550
how we're trying to get up to this .

38:55.580 --> 38:57.636
All right , I'm gonna stop there . I

38:57.636 --> 38:59.802
have 18 minutes left for questions and

38:59.802 --> 38:59.639
answers . Thank you for your time .

