You’re building your first chat bot and the pressure’s on. Never fear – the Watson team is here!
We know getting started can be tough, so we’ve compiled this list of resources that will help you easily jumpstart your first conversational application built with the Watson Conversation chat bot API.
Know your goal
First thing’s first: Do you have a use case or user story established? (A use case is the sequence of action steps between a user and a system to achieve a goal. A user story is an outcome-focused description of what your user will be able to do with your application.)
According to Brian Loveys, Program Director for Watson Emerging Technologies, “In many cases, it makes sense to start small on well-defined questions you know users will ask and expand from there. Experience has told us that it’s not until you release into production do you really find out what customers are going to ask.” To this effect, it is important to ensure that your use case or user story is clearly defined to provide a framework for development, but not so broad that your app’s purpose becomes muddled.
We would advise taking the time before you begin coding to document your use case or user story, so you can refer back to it later and use it as a tool to guide your efforts.
What customer challenge are you trying to solve with a chat bot? Your answer should be clear.
Create your roadmap
Next, you’ll want to have a general understanding of how to create a chat bot. We liken building a bot to taking a road trip: While you may spend some extra time at a particular stop, or skip one altogether, you still want to have a plan for where you’re going and (in general) how you’re going to get there.
“With the launch of Watson Conversation, we’ve designed a service that can allow almost anyone, even users without deep technical skills, to build a bot from scratch. Our intuitive user interface means you don’t have to write lines of code or have any machine learning background.”
Featured asset #2: This guide provides a deeper dive: Build a chat bot in 10 minutes. (You can even keep it in a browser next to your coding space and follow the process step by step.)
“What I am going to share with you is a super simple chat bot designed for customer service. When I say super simple, I mean exactly that — it doesn’t do much, but it provides an opportunity to learn the core functionality of the Conversation service with a few best practices thrown in.”
Take a deeper dive
As you’re building your Watson bot, there will almost certainly be times when a more detailed demonstration will prove helpful. Check out these tutorial videos to find out more about the foundational elements of a Watson chat bot and see how they are built.
Congratulations! You’ve used the tutorials and guides above to build your first working chat bot. But don’t stop there. Are there ways you can enhance your chat bot?
One benefit of working with Watson APIs is that they all work together seamlessly. Extend your bot’s capabilities to spoken conversation using the Speech to Text and Text to Speech APIs. Make your bot empathetic with Tone Analyzer, which analyzes emotions in a user’s text and can be used to tailor chat bot responses accordingly. Or create a bot that can be a subject matter expert by using Retrieve and Rank, which enhances information retrieval with machine learning.
At Dreamforce 2018, we launched Watson Discovery for Salesforce, an AI-powered insight engine for the Salesforce Service Cloud built for your enterprise. It’s designed to give customer support agents the information they need at their fingertips, so they can resolve customer cases quickly and efficiently, right from within Salesforce Service Cloud.
AI OpenScale allows businesses to operate and automate AI at scale – irrespective of how the AI was built and where it runs. Bridging the gap between the teams that operate AI and those that manage business applications, AI OpenScale provides businesses with confidence in AI decisions.
IBM now extends our leadership in data stewardship and privacy by announcing Watson Assistant and Watson Speech to Text services as available on IBM Cloud Private. This announcement extends Watson’s commitment to extending our capabilities across the public and private clouds.