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Watson Studio is an integrated
platform of tools services and data that

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helps companies accelerate their shift
to become data-driven organizations you

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can start with a free account to explore
its capabilities data science is a team

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sport we have different types of people
interested in the insights that data

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science can provide this includes
business analysts data engineers data

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stewards data scientist and developers
data needs to be located in cleanse

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models have to be created tested
monitored and updated all this requires

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teamwork
for this reason watson city was built as

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a collaborative platform a community of
like-minded people there is a lot to

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cover in this introduction and will only
scratch the surface you can find more

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information on the digital technical
engagement site at ibm.com slash demos

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once you are logged in you may see the
get started welcome screen you can

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minimize the screen by clicking on the
get started button in the upper right

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one important item that is easy to miss
is the hamburger button in the upper

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left it gives you direct access to
projects catalogs and services among

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other things the gallery is particularly
interesting it is a collection of assets

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including tutorials notebooks datasets
articles and papers from multiple

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sources new assets are constantly added
assets can be searched using filters for

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Thai language technology topics and so
on the results can be sorted by features

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or by date manage gives you quick access
to specific areas to manage finally we

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have integrated support and
documentation in the Watson environment

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as mentioned earlier the project is the
center of the collaboration it is very

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simple to create a project you click
create a project in the welcome screen

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or new project
and either create an empty project or

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one from an existing one then you give
it a name possibly add a description and

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you're ready to go at the project level
we also have a menu of options it starts

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with the overview where you can see
basic information on the project this

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tab also includes a readme section where
you can get more details on what the

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project is about the next one is assets
where you can see the data assets models

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notebooks and other assets that are part
of the project you can go to add

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specific assets using the add to project
drop down menu at the top of the screen

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we won't go into all of those menu items
but one important want to know is

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connection this allows you to access
data that comes from outside Watson

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studio as you can see it includes a lot
of data services from IBM but also quite

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a few from third parties such as Amazon
and Microsoft going back to our project

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I'd like to point out the environment
section one important tool for that

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exploration data manipulation and model
creation is the notebook depending on

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the amount of work that needs to be done
we have a choice of resource allocation

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we can also tailor the environment to
include additional libraries so we have

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a complete environment from the start I
want to point out two more selections

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from the top menu access control and
settings the access control allows you

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to control collaborators and their
permissions and more in the settings

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section you can among other things add
services for example you click on the

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add service drop-down menu select Watson
and add a machine-learning service you

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have the choice to add an existing
service you may have created earlier in

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another project or create a new one note
that most services include a light free

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version this means that you can
experiment with all sorts of

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capabilities for free

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you