Oracle Intelligent bot platform - Introduction

I am going through an online course from oracle on their Intelligent bot platform of. I will be jotting down the key concepts of this course and platform so that it will act as a quick reference guide for anyone who is starting to work on this technology and for people (like me) who want a quick reference. Let’s get started,

What are Intelligent bots??

A computer program that you can interact with in a conversational manner. The user experience of intelligent bot is to simulate a human being as a conversational partner. There are majorly two types of bots, the simpler ones scans for the keywords in the user input and more sophisticated ones which uses natural language processing (NLP) systems (to understand natural human conversations) .

Building blocks and terminology of Oracle intelligent bots

•        Intents  
•        Utterances
•        Entity
•        Intelligence
•        Flow

Let us understand each one of them,

Intent:  Intent is like an use case a bot supports, any unit of work a bot supposed to handle. The key feature of any intelligent bot is “ A bot should be able to resolve the input to the same intention of the user”. Example: Check balance, transfer money etc.

Utterance: The way to connect user input to intents. You need to train the bot by giving utterances. Example for check balance can be what is my balance, tell my balance, how much money in my savings account etc

Entity: A variable element of an intent that you want to parameterize to allow input of different values. Bot resolves intent and then entity. Entity example for check balance intent will be savings, current and credit card.

Oracle intelligent bot has built in entities for common entities like date, currency, address etc.

Intelligence: Heart of any chat bot platform. The ability to understand users natural language conversations using natural language processing (NLP) capability.

Flow: Any Conversion will always have a flow to handle the user interactions.