Watson Studio is an integrated platform of tools services and data that
helps companies accelerate their shift to become data-driven organizations you
can start with a free account to explore its capabilities data science is a team
sport we have different types of people interested in the insights that data
science can provide this includes business analysts data engineers data
stewards data scientist and developers data needs to be located in cleanse
models have to be created tested monitored and updated all this requires
teamwork for this reason watson city was built as
a collaborative platform a community of like-minded people there is a lot to
cover in this introduction and will only scratch the surface you can find more
information on the digital technical engagement site at ibm.com slash demos
once you are logged in you may see the get started welcome screen you can
minimize the screen by clicking on the get started button in the upper right
one important item that is easy to miss is the hamburger button in the upper
left it gives you direct access to projects catalogs and services among
other things the gallery is particularly interesting it is a collection of assets
including tutorials notebooks datasets articles and papers from multiple
sources new assets are constantly added assets can be searched using filters for
Thai language technology topics and so on the results can be sorted by features
or by date manage gives you quick access to specific areas to manage finally we
have integrated support and documentation in the Watson environment
as mentioned earlier the project is the center of the collaboration it is very
simple to create a project you click create a project in the welcome screen
or new project and either create an empty project or
one from an existing one then you give it a name possibly add a description and
you're ready to go at the project level we also have a menu of options it starts
with the overview where you can see basic information on the project this
tab also includes a readme section where you can get more details on what the
project is about the next one is assets where you can see the data assets models
notebooks and other assets that are part of the project you can go to add
specific assets using the add to project drop down menu at the top of the screen
we won't go into all of those menu items but one important want to know is
connection this allows you to access data that comes from outside Watson
studio as you can see it includes a lot of data services from IBM but also quite
a few from third parties such as Amazon and Microsoft going back to our project
I'd like to point out the environment section one important tool for that
exploration data manipulation and model creation is the notebook depending on
the amount of work that needs to be done we have a choice of resource allocation
we can also tailor the environment to include additional libraries so we have
a complete environment from the start I want to point out two more selections
from the top menu access control and settings the access control allows you
to control collaborators and their permissions and more in the settings
section you can among other things add services for example you click on the
add service drop-down menu select Watson and add a machine-learning service you
have the choice to add an existing service you may have created earlier in
another project or create a new one note that most services include a light free
version this means that you can experiment with all sorts of
capabilities for free
you