Tutorials

Add Conversational capabilities to your Microsoft Bot

chen CodeProject, Tutorials August 9, 2018

Microsoft Bot Framework can help you to build, connect, deploy, and manage intelligent bots to naturally interact with your users on a website, app, Cortana, Microsoft Teams, Skype, Slack, Facebook Messenger, and more. In this tutorial, we will demonstrate how to connect the Microsoft Bot Framework to your conversation.one omni-channel conversational application, and reuse the code and data created for your Amazon Alexa skills, and Google Home actions to other channels supported by the Microsoft Bot Framework.

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Make your bot answer frequently asked questions

chen Tutorials July 10, 2018

The most important features of your bot, no matter if it deployed as an Amazon Alexa skill, a Google Home action or a chatbot, is to answer your users’ questions. This might be highly complex questions such as “what is my checking account balance”, or simple questions such as “what is your return policy”. Understanding that you already provide answers to your users most frequently asked questions on the web, Conversation.one offers an FAQ Generator that quickly converts FAQ pages from your website into a full conversational format.

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Connecting LivePerson with Amazon Alexa, Google Home, and a chatbot

chen Tutorials June 8, 2018

Being able to serve customers automatically using a chatbot or a voice assistant such as Amazon Alexa or the Google home is great, however, what will you do when our bot can’t handle the customer’s intent or message? To handle the cases where your bot does not understand, or can’t handle the user’s request, Conversation.one provides you the ability to handover the user to a human agent, using an integrated LivePerson – Alexa, Google Home, and a chatbot deployment.

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Create Skills for Echo Devices With a Screen

chen CodeProject, Tutorials April 24, 2018

Echo devices with a screen, such as Echo Show and Echo Spot, allow developers to create skills for Alexa that use both screen and voice interaction. The screen displays and interactions are created with the use of templates. In this tutorial, we will extend the voice response wit ha graphical rich text response, that will be displayed when the user accesses the application from an Alexa device with a screen.

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Sanity test for conversational applications

chen Articles, Tutorials March 28, 2018

A sanity test should quickly evaluate if our application answers a specific set of questions as expected. The point of a sanity test is to rule out certain classes of obviously false results, not to catch every possible error. A rule-of-thumb may be checked to perform the test. The advantage of a sanity test, over performing a complete or rigorous test, is speed.

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Build a Conversational Phone Assistant

chen Tutorials March 19, 2018


We all love talking to Amazon Alexa and Google Home, but what happens when we are away from home or our desk? With Conversation.one you can develop a Conversational Phone Assistant, which provides a comparable experience to Amazon Alexa and Google Home but on the phone. Your users would be able to call a dedicated phone number and ask for information using a flexible natural conversation.

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Build a Financial Phone Assistant For Your Bank in 3 Steps

chen Tutorials March 16, 2018

We all love talking to Amazon Alexa and Google Home, but what happens when we are away from home or our desk? Conversation.one developed a Financial Phone Assistant, which provides a comparable experience to Amazon Alexa and Google Home but on the phone. Your customers would be able to call a dedicated phone number and ask for information using a flexible natural conversation.

With Conversation.one you can build your bank’s financial Phone Assistant in 3 Steps. No programming, coding or complex integrations are required. Ready to start?

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A/B Testing

chen CodeProject, Tutorials January 24, 2018

A/B testing of conversational applications; Alex skills, Google Home actions or a chatbot, is a method of comparing two versions of the app against each other to determine which one performs better. AB testing is essentially an experiment where two or more variants of answers are returned to users at random, and statistical analysis is used to determine which variation performs better for a given conversion goal.

In this tutorial, we will learn how you can use Optimizely to test different versions of your conversational application, how we can fetch the experiment data from Optimizely and use it to test the different the response options.

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