Learn how you can integrate Watson Conversation into additional channels outside of your app like Twilio and Botkit to save development time and effort for building a chatbot.

In this video:

  • Chris Desmaris, Product Manager, IBM Watson Conversation
  • Shantenu Agarwal, Product Manager, IBM Watson Conversation

Chris Desmaris says:

“As developers, we’re all about saving time and using Botkit and Twilio really cut down on the time to get a bot out there.”

Twilio is a cloud platform service that allows software developers to programmatically make and receive phone calls and send and receive text messages using its web service APIs. Botkit is an open-source framework for building your own bot based on Slack, the cloud-based set of team collaboration tools and services.

IBM Watson Conversation Product Managers Chris Desmaris and Shantenu Agarwal show you how you can integrate Watson Conversation into additional channels outside of your app like Twilio and Botkit. In this presentation, Chris will be using the Twilio SMS API and will connect Conversation to the Twilio API using Botkit endpoints. The demo is full of tips and tricks for developers, including how to use node package management (npm) which makes it easy to use other code in your application.

A good use case example is when an agency wants to stay connected to clients who don’t have a smartphone, they can do it through SMS texting.

Integrations add more power and potential reach to the range of your chatbot and they reduce the time it takes to roll out a bot.

The following video will show you how to work with advanced integrations in a little more detail.

The Conversation service is most powerful when integrated with messaging and chat platforms and this video will discuss best practices for connecting your Conversation setup with third-party interfaces, accompanied by a deep-dive into a building a Slack bot.

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