The document discusses the evolution and capabilities of chatbots and digital assistants, presenting insights into their functionalities including machine learning, natural language processing, and integration with speech and face recognition technologies. It highlights the significance of intent mapping, utterances, and entities in chatbot interactions and provides details on creating custom assistant solutions using platforms like Oracle Digital Assistant and Alexa. The speaker emphasizes the future of chatbots transitioning into more autonomous digital assistants capable of complex tasks beyond simple communication.

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“Talk to Me Goose”
Going Beyond Your Regular
Chatbot
Luc Bors
Oracle Code One
Session DEV5557
22 October 2018 at 10:30 AM
Moscone West – Room 2011
Email: Luc.bors@eproseed.com
Twitter: @lucb_

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Luc Bors
• Technical Director
• ADF, JET, MAF, MCS, BOTS, DA, IOT
• ACE Director / Groundbreaker Ambassador
• Using Oracle Tech since 1999
3
WHO AM I?
About eProseed
• Local offices in several parts of world
• HQ in Luxemburg
• Award winning Oracle partner
One more on
the way
Work in
progress

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PROGRAM AGENDA
Introducing Chatbots
Towards Digital Assistants
Speech and Face Recognition
Putting things together
Summary
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3
4
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1
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(CHAT)BOTS
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• Generally speaking a bot is any software that performs an automated task
• A Chatbot is a computer program designed to simulate conversation with
human users, especially over the Internet.
• The biggest misconception that arises is that a chatbot is a bot that
converses with a human in the way that another human would converse
with a human.

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• Intents
• Utterances
• Entities
• Machine Learning/NLP
• Dialog Flow
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TALKING SOME CHATBOT SLANG

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Derived from customer input
What does the user want?
Is this mapped to an action?
Order Pizza
Order Pasta
Cancel Order
“I want to order a cheese pizza”
WHAT ARE INTENTS?
Intent

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Statements that map to intent
“Sample data” for an intent
Not exact string matching
Machine learning
Need many good utterances
WHAT ARE UTTERANCES?
Order Pizza
Order Pasta
Cancel Order
Utterances

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Variable/parameter for intent
Important word in an input
Adds relevance to intent
Order Pizza
“Hi, I want to order a cheese pizza”
Cheese
Pepperoni
Ham
Possibly maps to domain object
WHAT ARE ENTITIES?
Entities

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Language independent ML
NLP for added accuracy
Natural language processing
Prediction based on utterances
WHAT IS MACHINE LEARNING?
Machine Learning

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Manages conversation flow
State and context
What to do based on an input
DIALOG FLOW
Source: https://bit.ly/2mBSIqI
Dialog Flow

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PROGRAM AGENDA
Introducing Chatbots
Towards Digital Assistants
Speech and Face Recognition
Putting things together
Summary
2
3
4
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1
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WHAT IS A DIGITAL ASSISTANT?
• A virtual assistant, also called AI assistant or digital assistant, is an application
program that understands natural language voice commands and completes tasks for
the user.
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• Amazon Echo (Alexa)
• Google Home
• Apple Siri
• IBM Watson Assistant
• Microsoft Cortana
• Samsung Bixby
• Oracle Digital Assistant
MANY VENDORS HAVE DIGITAL ASSISTANTS….…
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ORACLE DIGITAL ASSISTANT
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CHATBOT CODE INVOLVED

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THE DEMO OF A ‘REGULAR’ CHATBOT
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DEM
O

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PROGRAM AGENDA
Introducing Chatbots
Towards Digital Assistants
Speech and Face Recognition
Putting things together
Summary
2
3
4
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1
5

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RALPH BREAKS THE INTERNET: WRECK-IT RALPH 2 OFFICIAL
TRAILER
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• https://www.youtube.com/watch?v=_BcYBFC6zfY&start=53&end=79

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• Amazon’s Alexa Voice Service
• face_recognition and Tensorflow
– The world's simplest face recognition
library
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M(AN)Y CHOICE(S) FOR SPEECH AND FACE RECOGNITION
Nice comparisons found here for face
https://bit.ly/2AkXVby and here https://bit.ly/2Ozfptg
Nice comparisons found here for speech / voice assistants
found here: https://bit.ly/2q5lf7c

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HOW DOES ALEXA WORK?
• Alexa Device à Alexa Service à Invoke Custom Skill Code
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https://bit.ly/2P8yOAT

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FACE RECOGNITION
• OpenCV or face_recognition
– For Face Recognition
– Aimed at real-time computer vision
• TensorFlow
– An open source machine learning framework
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1. look at a picture and find all the
faces in it
2. focus on each face and be able to
understand that even if a face is
turned in a weird direction or in
bad lighting, it is still the same
person.
3. be able to pick out unique
features of the face that you can
use to tell it apart from other
people— like how big the eyes
are, how long the face is, etc.
4. compare the unique features of
that face to all the people you
already know to determine the
person’s name.
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HOW DOES FACE RECOGNITION WORK?
from: https://bit.ly/2ab1mmR

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• Hi Alexa.
• Get me the latest playoff scores
please.
• No, Thanks
• Hi Luc, what can I do for you?
• Boston plays LA in the finals Luc.
• Anything else I can do for you?
• Oke Luc, have a nice day.
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MAKE THINGS PERSONAL
Combining speech- and face- recognition will enable your ‘thing / device / bot / digital assistant’ to see and recognize people

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PROGRAM AGENDA
Introducing Chatbots
Towards Digital Assistants
Speech and Face Recognition
Putting things together
Summary
2
3
4
26
1
5

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GOING BEYOND YOUR REGULAR CHATBOT
• Open Up Your Regular Chatbot (Oracle Digital Assistant)
– Webhooks
• Turn Your RaspberryPi into a Personal Assistant (The Robots’ Brain)
– AlexaPi
• Add (on command) Face Recognition
– PiCam
– IFTTT (with Alexa in and Webhooks out)
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OPENING UP ORACLE DIGITAL ASSISTANT
• Webhook Channel
• REST Endpoints
– A POST call that enables the server to
receive messages from your bot.
– A POST call that enables the server to
send messages to your bot.
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WEBHOOK CODE (FROM ALEXA TO BOT)
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WEBHOOK CODE (FROM BOT TO ALEXA)
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NODE CODE INVOLVED (FROM BOT TO ALEXA)
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CREATING ALEXA CUSTOM SKILL
• Needs invocation sentence
• Needs intent:
– What is it that you want…
– A sentence
• Needs a slot:
– To define how data in the slot
is recognized and handled
– AMAZON.LITERAL
• Needs endpoint to call out to
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• Enter (or say) invocation name
• Walk through a flow
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TEST CUSTOM SKILL: TALK TO ORACLE ADA

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TURN YOUR RASPBERRYPI INTO A PERSONAL ASSISTANT
• AlexaPi is the way to go.
• Install it on a fresh Raspbian image
• Follow installation manual here : https://github.com/alexa-pi/AlexaPi/wiki/Installation
• Important note:
– Installation guide needs some updates.
• sudo pip install CherryPy==10.2.1
• sudo pip install six==1.11.0
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DEFINE AN ALEXA DEVICE ON AMAZON
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RUNNING THE SETUP
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ORDERING PIZZA (HANDSFREE)
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Alexa, order me
a Pizza
Alexa Voice
Service Custom
Skill
Oracle
Compute Cloud
(node
webhook)
Oracle Digital
Assistant Cloud
What kind of
pizza would you
like?

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SETUP IFTTT FOR FACE RECOGNITION WITH ALEXA
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RECOGNIZE PEOPLE
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Alexa, Verify
User
Oracle Application
Container Cloud
(node webhook)
User Identified:
Username is:
xyz

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LIVE
DEM
O

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PROGRAM AGENDA
Introducing Chatbots
Towards Digital Assistants
Speech and Face Recognition
Putting things together
Summary
2
3
4
41
1
5

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• RaspberryPi 2
– Camera
– Speaker + Microphone
– Wifi
– Servos
• On the RaspberryPi
– AlexaPi to listen and speak
– AlexaPi to control motion and lights
– RaspberryPi Cam to look at faces
– Face_recognition to recognize
• Coding
– Python
– Node
– OBotML
• Oracle ADA Cloud
• Alexa Skill to invoke PizzaBot or
whatever other thing you want
(such as IFTTT)
• IFTTT Configuration
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TECH SUMMARY

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• What I learned
– Raspberry Pi Rocks
– Experimenting with new Tech is fun
– Think Different
– Many many Solutions Available
• My view of the near future:
– Chatbots
• Will no no longer simply Chat
• Will Be Digital Assistants
• Will Be Autonomous
– We will ALL have our own Autonomous
Digital Assistant very soon.
– It can do a lot more than just chat
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SUMMARY

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Experts in Modern Development
• Cloud
• Microservices and Containers
• Java, JavaScript/Node.js, PHP, Python
• DevOps
developer.oracle.com/ambassador @groundbreakers
• Continuous Delivery
• Open Source Technologies
• SQL/NoSQL Databases
• Machine Learning, AI, Chatbots

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