OpenWorld 2018 How to Create Chatbots with OMCe Quick Bite: TRN6509 J. David Mills Cloud Delivery Lead – PaaS Oracle University October 24, 2018

Safe Harbor Statement The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, timing, and pricing of any features or functionality described for Oracle’s products may change and remains at the sole discretion of Oracle Corporation.

Intelligent Chatbots: Key Components Unified cross-channel chat interface between bots & humans Channel Configurator Dialog Flow Execution Custom Components in Dialog Flow AI Engine Declarative bot builder UI for bot flow State machine that executes context driven workflows with scoped variables Custom SDK to consume backend API’s that satisfy human requests via the bot Active machine learning algorithms that identify relationships and extract insights from unstructured data Develop Intelligent Bots 1 - 3

Intent Classification Entity Extraction Dialog Execution Channel Integration Intent Classification Entity Extraction Dialog Execution Channel Agnostic Webhook Security Message Processing Intent Modeling Natural Language Linguistic Modeling Bot Model Training Entity Parsing Entity Resolution Entity Type Entity Value BotML Dialog Flow Dialog State Built Component Custom Component The balance in your savings account is $2334.56 Integration Component Ent data Required Entities: Account Type Entity Values Checking Savings Credit NL Understanding Intent Classification: Balances Intent Ranking Confidence  98% Alexa what’s my balance For which account? Savings Develop Intelligent Bots 1 - 4

An Introduction to Intents in Intelligent Chatbots Single meaning mapped from multiple possible inputs Give it meaningful name Add your own utterances Import & export utterances Train and test the intent Stage 1 processing only as good as your utterances Develop Intelligent Bots 1 - 5

Develop Intelligent Bots 1 - 6 See the requirements slide for a description of the steps These settings will be used by Facebook. Develop Intelligent Bots 1 - 6

Develop Intelligent Bots 1 - 7

Develop Intelligent Bots 1 - 8

Develop Intelligent Bots 1 - 9

An Introduction to Entities in Intelligent Chatbots Define an Entity list – value list (airport name) Entity list - Value-list (airport code) Entity list - Value-list (city) Create an entity called Travel Destination Create a derived destination (From) with the preceding word “From” which derives from Travel Destination Create a derived destination (To) with the preceding word “To” which derives from Travel Destination Develop Intelligent Bots 1 - 10

Entities Important variable in an intent Helps add relevance to an intent Built-in DATE, TIME, NUMBER, DURATION etc. Custom Domain/use case specific ToAccount, AccountType, PizzaSize Develop Intelligent Bots 1 - 11

Built-in Entities Implicitly exist You must add to the intent Only parsed for if added to entity Entity can resolve to many values Add multiple entities Develop Intelligent Bots 1 - 12

Custom Entities You create Domain-specific entities Value List Derived ToAccount, PizzaSize, SpendingCategory Value List Derived Entity List Develop Intelligent Bots 1 - 13

Dialog flow Manages conversation flow State and context A conversation with a chatbot usually goes through a particular flow- and you might think of the conversation having different states or context. In chatbots you would typically have a dialog flow which defines what should happen next based on an input State and context What to do based on an input Develop Intelligent Bots 1 - 14

Dialog Flow The model for the conversation flow Context Variables Grouping of variables related to a unit of conversation Variables Data held across a context State The various “units of work” in a dialog Currently defined in BotML Visual flow tool is “work in progress” A conversation with a chatbot usually goes through a particular flow- and you might think of the conversation having different states or context. In chatbots you would typically have a dialog flow which defines what should happen next based on an input Develop Intelligent Bots 1 - 15

Dialog Flow Develop Intelligent Bots 1 - 16 Here we an a state called “intent” which gets the first input from the used and passes it to the intent engine, depending on how the intent engine resolved that input, dictates where it goes next. For example, the intent engine worked out this was a Balance intent and so processing should now continue from startBalances Develop Intelligent Bots 1 - 16

System Components Interaction components Conditional components Security Utility components When you want to chatbot to actually do something - such as call a back end service, within Intelligent Bots at least, you use something called components. Intelligent Bots gives you a number of prebuilt components. So Text Output List Intent SetVariable ResetVariable Develop Intelligent Bots 1 - 17

Custom Components Custom Components Add custom logic or add features you don't find in a current version Add channel specific UI Backend integration through custom components REST APIs with particular “signature” Communicate with MCS APIs JavaScript However you would typically develop your own custom components for things like making back end calls to APIs (for example, to actually get a bank balance) And a custom component can also have a UI element to it – so if you want to present information to the user as some sort of card component, you could write that yourself Custom Logic Custom UI Backend Integration Develop Intelligent Bots 1 - 18

System Settings in Intelligent Chatbots General General settings for bot processing Training Model Translation Service Channel Connecting bot to channel such as Facebook Develop Intelligent Bots 1 - 19

Try Mobile Cloud Service Enterprise Today Get Started with Oracle Cloud Platform for Free  Up to 3,500 free hours Build production-ready workloads by using a variety of cloud services including Database, Compute, Blockchain, IoT, Big Data, API Management, Integration, Chatbots, and many more Create a Free Account USD300 Free Credits* available in select countries and valid for up to 30 days Mobile Cloud Service Enterprise Build and deploy mobile apps and intelligent chatbots that connect to any backend system with Mobile Cloud Enterprise. https://cloud.oracle.com/tryit

Cloud Learning Subscription

Q & A Call to Action (time permitting) Learn More @Oracle University http://education.oracle.com/cloud (time permitting) 22