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- [Instructor] In this and
the next several videos,

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I want to take a little bit of time

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to overview some of Watson's services.

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Now, this may seem a little bit

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like a marketing presentation.

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But the main reason that I want to do this

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is to tie together these kind
of pre-bundled capabilities

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that you can incorporate
in your own applications

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with some of the concepts
that we presented

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not only in the last two lessons

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on natural language processing
and data mining Twitter,

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but also on the subsequent
lessons where we're going

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to get into machine learning techniques,

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deep learning techniques,

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and big data and IoT techniques as well.

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So not only do you have
pre-bundled capabilities

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from Watson and other
similar cloud vendors,

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like Amazon, and Google and Microsoft,

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but you also have the ability to

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take it back a level and
build your own models

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for a lot of capabilities as well.

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And that's what we'll start showing you

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in the next couple of lessons.

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So to start out, I want to talk briefly

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about the Watson assistant,

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which helps you build virtual
assistants or chatbots.

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Many of you have probably used these

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in various websites nowadays.

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In fact, the first line of
customer service nowadays

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is often a chatbot to get you through

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to the correct person or department.

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And one of the things that's
nice about Watson assistant

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is they have built in what they call

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intense for many common scenarios already.

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And this link is going
to show you how to take

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advantage of their
built-in assistant catalog.

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But separately, you have the ability

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to train Watson assistant
for your own scenarios

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for whatever application you're building.

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So if you were building a weather chatbot,

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you could enable it to respond
to natural language questions

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like "what is the weather
forecast for New York City?"

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Or if you're building a
customer service chatbot,

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it could answer questions
specific to your company

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or product. But it also
might have the ability

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if it can't answer something
to direct the person

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through to somebody who
can help them perhaps

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a live person in that case.

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And most interestingly, perhaps is this

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second to last link on the slide,

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which is the IBM code bot exchange.

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On this website, you can see lots of

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pre-existing bots and virtual assistants

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that other people have built.

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And if you build your own, you can also

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share yours there as well.

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So the demo for this
service is at the page

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that you see at the bottom of the screen.

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Let me go ahead and pull that up here.

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There's actually three
demos that they have

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of different chatbots scenarios here.

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If you go ahead down to the
bottom left corner here,

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you'll see this is the
make a payment demo.

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And the arrows will allow you to navigate

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through the other demos as well.

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So the assumption here is that you need

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to make a credit card payment

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and that you've logged
into your bank's server

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for your account.

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It then recognizes what your
cards are with that bank.

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And you have the ability
not only to click buttons

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representing your accounts,

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but you can also type down here as well.

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So let's say I want to pay for this card,

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it's telling me when the payment is due,

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I can either choose to pay
today or on a given date.

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So let's say I want to pay today.

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It tells me what my minimum balance is

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and what my total balance is.

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So let's say I decided
I wanted to pay $25.

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It is going to know that
that's not the minimum

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and it's going to tell me that I have to

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enter another value here.

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So let's say I want to
do the minimum value.

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And now it's going to go
ahead and issue that payment

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once I confirm it.

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So as you see here, I'm
interacting with natural language,

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and now it shows me my updated balance.

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So just a simple chatbot experience

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but something that you can
build very easily with Watson.