WEBVTT

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- And thank you for joining
me through the corner of the--

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for a discussion about understanding

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the operational environment
and that from our perspective

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that requires employing
data-centric type approaches.

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I'll save the take-away
slide for the last one

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but there will be some
key bullets on what--

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that I understand, go to slide 2.

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I'm gonna start with a brief
description or an understanding

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of what it is that we
do in the TRADOC G-2.

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So the Training Doctrine
Command for intelligence G-2

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is responsible for understanding,
describing, visualizing

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delivering and assessing
the operational environment

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for leader development,
training and education--

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capabilities and concepts
development, experimentation.

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We do that with three lines
of effort, our first one being

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continuity of the narrative,
I'm gonna tie this back in

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because this is kind of a soft transition

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from the cross-functional team briefings

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that we had this morning but
this operational environment

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is defined by the TRADOC
G-2 in partnership

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with Futures Command,
Futures and Concepts Center,

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their OE futures cell
provides an underpinning

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for every one of the
cross-functional teams.

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All the capability developments
that we're talking about

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they're all underpinned by
the operational environment

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the pamphlets that are
defined by this team.

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So with that, we do
that, not in isolation,

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we do it vertically with our
intelligence community partners

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in that it's vetted widely
and horizontally across

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Training and Doctrine
Command, plus the Army,

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and our sister services with
our joint and allied partners.

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As we publish these documents
out, that lay down this

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determination of the future
operational environment

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and the current two future
operational environment

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it must be able to
withstand rigorous scrutiny

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from our partners, so we need

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a highly collaborative environment.

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Kinda leads into the second line of effort

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that we have, which is a
critical thinking exercise

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we have a team of folks that
take team-type techniques.

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Groupthink mitigation so
we're not only listening

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to ourselves but we're
also critiquing ourselves

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and think critically and apply
critical thinking techniques

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to the assumptions and the
outcomes of the expressions

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within the operational
environment for the future.

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We both train that and we
action that with ourselves.

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Again through Army University outreach

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and a robust e-intern program,
we bring in thought leaders

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from across industry, academic
and the military space

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to help us with that
critical thinking enterprise

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so we get the continuity
that we're looking for

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in the OE narrative.

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So that's generally an innate
capability to our primary line

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which is that delivery of the OE.

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The third line of effort
is, it's digitizing tools

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and content, that's really
where the data-centric approach

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piece comes into play, another
enabling line of effort

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to both the critical thinking enterprise

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and more importantly the
continuity of the OE narrative.

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It takes data for us to
understand from a broad area

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of collection, what variables need

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to be accounted for and addressed
and in what we publish out

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as the OE narrative, the narrative

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about the operational environment,
both current and future.

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We do that, with a number
of different tools,

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digitizing content and now
we're getting into the space

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where we're applying some machine learning

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to unstructured content to
be able to help our analysts

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do the analysis and synthesis
of the data and content

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to be able to provide the
results we're looking for.

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What I'm gonna do for you
today is demonstrate for you

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with the help of Dwayne in
the back, I appreciate that.

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One of the tools that we
have in place that allows us

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to do this, specifically
for the leader development

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training and education
and home station training

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and national training center type venues.

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One of the core products
you see at the top

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of our continuity narrative is DATE

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or the Decisive Action
Training Environment.

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TRADOC G-2 is the authoritative source

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for the Decisive Action
Training Environment.

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It sets the conditions now
and for regionalized areas

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of the world, that underpin
all of our scenarios

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that we develop for leader
development training

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and education, together
with concept development.

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So I'm gonna show you a
platform demonstration

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and show you kind of how
we've taken this data-centric

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approach and actually
implemented it for our analysts.

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So Dwayne, if you'll go to
the demonstration piece.

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As he starts to bring this
up, there is, as we understand

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in the information technology
world, there's no magic here.

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We take a number of proven
off the shelf capabilities

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mostly in the free and open
source realm, integrate them

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in kind of new ways to deliver
the operational environment

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in a different way.

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The whole intent here is
to deliver the right data

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to the right person at the right time

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and in the right format and
for some of those similar terms

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with other people talking up
here, is the same mantra for us

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So what you see here, is a web interface,

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and this is a publicly available site,

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you can go to on your phones it works well

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on a mobile device. Odin.TRADOC.army.mil

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I also have pamphlets and flyers

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in the back that you're
welcome to pick up at the end.

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Again, the intent of this platform

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is to share this
information then release it.

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It's been approved for
public release to be able

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to reach the widest audience
with the information

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to include our international partners.

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So what you see on the
site is the user interface,

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what's behind the user interface
is highly structured data

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provided through a highly
tuned user experience for users

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to be able to consume this,
that does a second job for us

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in that it provides the
data on the backend through

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application program interfaces
so that data can have

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a life-cycle beyond
delivery in this platform.

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We can get to the instructions
for the technical interface

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for those application program interfaces

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and it can move into any other machine

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or system that needs to consume it.

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So think, I'll give you
some examples of this

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but our models and simulation platforms.

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The data can move from this platform

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directly in to help build those scenarios

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for models and simulations
as well as formats

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that can be consumed through
our mission command systems.

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And I'll explain a little bit
later on how we're doing that

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in a real way with the
Army Models and Sims Office

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on something called the
Unified Data Initiative.

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So we'll start here, it's
the welcome to Odin platform.

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You'll be able to tell
what changes have been made

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to the platform with the modal
boxes on the right hand side.

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Those will be announcements
and whatever changes come

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gives you a description of
what the platform is used for.

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We'll click on the
Worldwide Equipment Guide.

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A lot of this platform takes the place

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of about 17 different volumes,
three to 400 page volumes

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of written product, we
no longer produce those

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in a written book format,
the only place you can find

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this authoritative data is
now in this web interface.

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So we produce something
in the TRADOC G-2 called

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The Worldwide Equipment Guide.

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These are selected equipment
from around the world

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that has specific military
application to the US

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in threat fight, again the
content that you see in this site

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is approved for public release,
but we've dumbed it down

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to the data-element level.

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So if you'll go ahead
and search in the block,

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it's fully searchable
from across the site,

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and search for T-64.

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So at the top level site,
you're gonna get both articles

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about T-64 and elements in
the Worldwide Equipment Guide.

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So let's select on the far left panel,

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the T-64 main battle tank.

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You'll see the data cards
come up, both the imagery

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and the description of the item,

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plus tabs across every field that you see,

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is the set of highly structured data.

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So it can be pulled out
in terms of attributes

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for those systems for
use in helpful arenas.

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You can click through the
tabs, I appreciate that.

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And it's standardized data sets across

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the WorldWide Equipment Guide piece.

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Again, this replaces about
three volumes of books

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that were updated on an annual basis.

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This is now a dynamic site,
it is updated on a daily basis

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or depending upon
feedback from governments

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that the field gives us, on
what needs to be represented.

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So we can back out and close out

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of the Worldwide Equipment Guide.

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You'll see another interaction,
this is interactive across

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the platform, the next
top level tab will go

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to the DATE knowledge base, left one.

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DATE knowledge base, I'm
sorry, DATE knowledge base?

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So here, we'll go through
the navigation on the top

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and go to Caucasus for me, so,

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at the top, you saw four
notional regions of the world.

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The Caucasus regions,
Pacific, Africa, and Europe.

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We just recently published the
Pacific, Africa, and Europe

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Decisive Action Training
Environments and again they were

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not produced in a Word
document and then PDF

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to put on a shelf, they were
authored in this platform.

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For the analysts, and
again what you don't see is

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this moves the creation of
the content in data form

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closer to the analyst, so
now they have a set of tools

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enabled by this platform
to author in data form.

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They're no longer having
to use Word type things.

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They go and do something called a

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What You See Is What You
Get-editor and put it into

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a wiki-type style database
for both representation

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visually here and also extractable through

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that application program
interface as well.

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So our analysts determine
what the best factors

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are to represent or
what the key factors are

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to represent the operational
environment for this area

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and then they come in here and edit it up.

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Let's go to Donovia.

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And I'll show you some
of the other features

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of the data sets that
are in here, the next...

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Atropia is fine, you can stay right there.

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So on the left-hand modal,
you see not only the index

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it's cutting off the
screen just a little bit

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of what's on the page and it goes through

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the PMESII-PT variables for
that operational environment.

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If you click the eye
icon, right next to it

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this gives you a modal for
the geospatial references

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for the region we're talking about

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plus the demographic
information as you scroll down

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in a side-panel modal...

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And if you click the next
kind of spider icon next to it

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we'll get into more detail on this as well

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but this gives you the force structure,

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the enemy force structure
that we've developed

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as an opposing force or a neutral force

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that's gonna play in that
operational environment.

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This can be tailored
off the platform to fit

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whatever scenario you're driving

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in leader development
training and education,

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again, capabilities and
concept development.

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So it gives it to you all in one space,

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cross-linked within the platform.

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So let's click on that force
structure tab on the top right.

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The other section and
this section has developed

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a lot of power for us in that,

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we no longer have spreadsheets of data

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about the force structure and designing it

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for a specific scenario
that we want to support.

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Users can now come to the
platform and select their regions.

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So let's go Donovia, Caucasus/Donovia.

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Go ahead and click on that.

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Is it working today?

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And it'll pull up the highest
level force structure design

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for what we have architected
for the threat representations

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or neutral representations for this.

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Takes just a minute to load,
but a couple of highlights

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on this again, takes it
out of spreadsheet form,

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puts it in data form and it can move.

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So if we click on the center
of the icon on ground forces

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you'll see another modal on
the right hand side come up.

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That's an MTO type listing
of all the equipment

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within the ground forces of
the National Command Authority

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for Donovia, and this works at any echelon

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and it can tier out as far as down

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to the individual platform
or life form with equipment

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within that force structure.

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So as that gets ready to
load, you'll see it pop up.

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It'll have the total force and
all of the equipment numbers

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just like you would normally
see in a force structure

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or an MTO type layout for an organization.

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If you'll just hover for me over

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this download button right
here, we have that capability

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within the platform and you
can go ahead and click on that

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to export at any echelon
of this force structure

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a CSV file of what you've
just selected in two formats.

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One is a simulation-ready
format, that goes into something

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called the Joint Training
Data Service format.

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That supports JCATS simulations

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and some other simulation
models and we've also created

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an agnostic data format called
Dragon, that's our term.

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That we're using to export
into other databases

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for holding, for sharing,
so not only can you access

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this part from an
application program interface

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but as you're navigating
and selecting through

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the force structure you're
looking for, you can select

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the icon to export just
that portion and get it

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in a comma separated values spreadsheet,

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that you can then import into your system.

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We're working a project right now

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with the Army Models and
Simulation Office that allows

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for this machine to
machine exchange of data

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into what's called the
Army Organizational Server.

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Traditionally, that has
served up all of the

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blue force structures for the Army,

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but there was no representation

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of opposing force data in there.

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There will be now, we've run a
couple of pilots with success

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and now we're doing the
machine to machine interface

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so as our authors, our
analysts who have the authority

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over this data to make
changes to the platform

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it will feed up into the
central repository that's used

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across the army for
modeling and simulation

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and for mission command systems,

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those representations
of the opposing force.

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Good, we can go back to the slides?

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So the data-centric
approach, to kind of walk you

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through this is, no longer
publishing in a book format.

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We're putting tools in
the hands of our analysts

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to publish in data, and
we're allowing that data

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to have a life-cycle, in
that once it's published

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in the platform it's
human-consumable through

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a web interface, additionally,
it can be consumed

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machine to machine and live on.

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We don't have perfect
knowledge on everything

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our data can be used for and that's okay.

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We just want to make sure that it's open

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and it's shareable for
people to leverage it

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in whatever use-case they may have.

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Go to the next slide?

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And the next?

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So the take-aways, we're
taking on this approach

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and we're advocating it across
the training doctrine command

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and the other commands, but
really consider your data

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as an asset, harvest it, curate it.

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From the demonstration I
showed you, that was putting

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the data tools in the
hands of the analysts.

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They are now the ones
who are curating the data

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for re-use and recognizing it as an asset.

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Focus on the data, not the applications.

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The goal of this project,
that I showed you on Odin

17:13.730 --> 17:17.640
was not to deliver a platform or a tool,

17:17.640 --> 17:21.230
it was to deliver data
and to enable the data

17:21.230 --> 17:24.000
to have a life-cycle,
that's focusing on the data

17:24.000 --> 17:26.040
because now we can connect a number

17:26.040 --> 17:29.050
of different applications
and uses up to that data

17:29.050 --> 17:30.453
with the open interfaces.

17:31.810 --> 17:34.190
Remove stovepiped data systems,

17:34.190 --> 17:36.460
move to a data-centric architecture.

17:36.460 --> 17:41.460
We are still delivering systems
out there that can only work

17:42.450 --> 17:45.290
with their specific database sets

17:45.290 --> 17:48.260
and the data is not shareable
out to other platforms

17:48.260 --> 17:50.320
that can consume and use that data.

17:50.320 --> 17:53.520
We have to change that trend and go

17:53.520 --> 17:56.860
to an open data type of
architecture and standards,

17:56.860 --> 17:58.700
and there's ways to do that.

17:58.700 --> 18:02.035
Utilize data science teams
to get at user requirements.

18:02.035 --> 18:05.740
We're taking some small
data science teams within

18:05.740 --> 18:08.470
the TRADOC G-2 interfacing them directly

18:08.470 --> 18:10.940
with functional
representatives, in this case

18:10.940 --> 18:14.420
for the creation of the OE
data integration platform

18:14.420 --> 18:17.390
that I showed you, the user's
voice was the biggest one

18:17.390 --> 18:20.460
at the table, those analysts
and the community that was

18:20.460 --> 18:23.602
gonna consume, in the various
types to help us drive

18:23.602 --> 18:27.080
to the solution for that
data-driven platform.

18:27.080 --> 18:30.279
The same type approach
we're trying to incorporate

18:30.279 --> 18:32.730
any of the other products
that we're responsible

18:32.730 --> 18:35.990
for delivering out, already talked to you

18:35.990 --> 18:37.810
about our data-centric vision

18:37.810 --> 18:40.820
and the overall intent of
what we're trying to do

18:40.820 --> 18:44.030
and this is transferable,
completely to a number

18:44.030 --> 18:46.340
of different projects
and efforts out there,

18:46.340 --> 18:48.240
and we're integrating again as I said,

18:48.240 --> 18:50.290
across the models and sims community

18:50.290 --> 18:53.383
and in the mission command
systems for data re-use.

18:55.350 --> 18:58.128
Any questions for me, and I
highly encourage questions

18:58.128 --> 19:00.083
from any folks.

19:04.630 --> 19:05.923
Bring him a microphone.

19:16.021 --> 19:20.674
- Does it just have the
databank, or does it have

19:20.674 --> 19:23.174
the capability to analyze data

19:24.482 --> 19:28.315
to read something to
reach a position or that?

19:29.480 --> 19:31.270
- Yeah so the question
if you didn't hear it is

19:31.270 --> 19:34.400
is it just a set of data
structures or are there

19:34.400 --> 19:37.130
analytic tools that are
also part of the platform?

19:37.130 --> 19:40.670
Today there are not any
integrated analytic tools

19:40.670 --> 19:43.140
to the platform, but we
have other analytic tools

19:43.140 --> 19:47.480
that we use to come up with
the results and the data

19:47.480 --> 19:50.190
that get published in here
that are worked in workflow

19:50.190 --> 19:52.980
prior to the analyst
publishing, plus you can see

19:52.980 --> 19:56.860
the opportunity to work this
downstream and we've exported

19:56.860 --> 19:59.460
a lot of the data that's in
here into some other platforms

19:59.460 --> 20:02.520
that we're using to get
at some big data solutions

20:02.520 --> 20:04.770
to then apply some other
analytics downstream.

20:04.770 --> 20:07.609
So there's not any native
to the Odin platform

20:07.609 --> 20:11.343
but the data is highly reusable
within other analytics.

20:19.772 --> 20:21.013
- I apologize, I came a little late,

20:21.013 --> 20:22.264
so you might've already answered this.

20:22.264 --> 20:25.110
So you know, in an ever-changing
world, everything changes.

20:25.110 --> 20:28.160
So how often is this data updated?

20:28.160 --> 20:32.270
- Yeah it's a really good
question so, we have heard talk

20:32.270 --> 20:34.480
about things like living doctrine,

20:34.480 --> 20:37.570
and things that can be
updated on a routine basis.

20:37.570 --> 20:39.790
This Decisive Action Training Environment

20:39.790 --> 20:42.100
lays the foundation for
which all these scenarios

20:42.100 --> 20:45.790
are built upon, so in and of
itself, it's not the scenario,

20:45.790 --> 20:48.080
but it's where they
draw the variables from,

20:48.080 --> 20:50.780
to be able to do that
so we want to make sure

20:50.780 --> 20:54.410
that the most current information
is available at the time.

20:54.410 --> 20:57.616
So how often is it updated,
really on a daily basis

20:57.616 --> 21:02.434
or as there's a desire or a
change requirement out there.

21:02.434 --> 21:06.529
So as we identify other
or changing variables

21:06.529 --> 21:10.060
that are going to impact a
specific operational environment,

21:10.060 --> 21:13.550
our analysts will dig in,
understand that fully.

21:13.550 --> 21:16.057
That's the assess part of
what we're trying to do

21:16.057 --> 21:18.500
and understand part,
then we go to deliver.

21:18.500 --> 21:20.270
They'll deliver it through this platform.

21:20.270 --> 21:23.810
So it's updated continuously,
it's a dynamic site.

21:23.810 --> 21:26.363
There's no versioning, if you will.

21:29.490 --> 21:32.210
Other questions, I think I'm
getting that's time for today.

21:32.210 --> 21:34.803
Thank you very much for your
attention, I appreciate it.

21:35.640 --> 21:37.890
(applause)

