- [Instructor] Now there are far more
additional tools and capabilities in IBM Watson
and in the IBM Cloud than what I have talked about
here so far and beyond what I'll demonstrate
in our case study that's coming up
a couple of videos from now, but I did want to take a moment
to point out a few additional tools and services
that you may find handy if you decide
to work with IBM Watson for developing apps
for your organization.
So, a relatively new tool that they've added
is the Watson Studio, which is a convenient way
to both create and manage the projects
that you're working on using the Watson capabilities
and the IBM Cloud capabilities.
There's a whole bunch of different things you can do
with Watson Studio such as
getting your data ready for analysis in the first place,
which is one of the key aspects
of performing a data science study.
You can create Jupyter Notebooks,
which are a really convenient way to manage both code
and text and images and audio and data,
all that get wrapped together
to perform a complete data science study.
You also have the ability to create and train models
and use them with the various machine
and deep-learning capabilities that Watson provides,
and in the next couple of lessons,
we're going to be talking about machine learning
and deep learning and we're actually going to be
creating and training models using various
key Python AI libraries as well.
So, one of the things that Watson Studio provides
is a bunch of preconfigured projects
for typical Watson workflows.
So if you're interested in checking that out,
take a look at this URL.
Separately, they have the Knowledge Studio tool,
and most of the web services that I've shown you so far,
in fact all of the web services that I've shown you so far
through the demos and the ones that we'll use
later in this lesson, have predefined models
that allow us to perform incredibly powerful tasks
with minimal numbers of lines of code.
So as you are going to see in our case study in this lesson,
we're going to be able to take advantage
of predefined models that IBM has already trained
to do things like take speech and turn it into text
and we're going to do that both in English and Spanish.
We're going to demonstrate translating between languages,
going from English to Spanish and from Spanish to English,
and they have pretrained models for doing that.
And we're going to take text in both Spanish and English
and convert it back into speech as well.
And again, they have predefined models for doing that.
So if you had to go and create
those models from scratch yourself,
that could take enormous amounts of time and data
to get it right, but IBM already has that for you.
Now separately, they don't know in advance every single
industry and application, so they also provide this
Knowledge Studio where you can train Watson
and create models that are specific to the applications
you want to create.
They also have a more powerful tool
called the Knowledge Catalog which is for enterprises.
And this gives you the ability to manage all of the data
across your application,
provides various security capabilities,
but most importantly they claim
to support over 100 different data cleaning
and data wrangling operations,
which are two of the key steps
in preparing data for analysis.
So, if you have a massive amount of organizational data
and information that you would like to analyze,
you might take a look at the Knowledge Catalog.
And finally, and this one is kind of interesting to me
because of what it provides,
Cognos Analytics is a relatively new tool as well.
It came out right as we were completing our book,
so we didn't get a chance to study it
and put it into our books.
We intend to do that for the next editions.
But it provides both artificial intelligence
and machine-learning capabilities
that enable you to look at your data
and discover information and visualize information
without you doing any programming at all.
And as we've followed up on the writing of our books
and started to record these videos,
almost on a daily basis now we're seeing articles
about capabilities in artificial intelligence
and machine learning that are fully automated
and taking advantage of the power of the computing systems
that are out there and the massive amounts of data
that are out there to help you perform
incredible tasks with no code at all,
or very, very minimal code in some cases as well.
So one of the things that I thought was interesting
about the Cognos Analytics is
that they have a natural-language interface
where you can talk to it, and it will answer your questions
based on what it has learned from your organization's data.