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Chatbots have become an important platform for interacting with our users using a well-known tool: chat. • We are not only talking about making this type of platform available in channels like Facebook; what we really want is the automatization of tasks so users can use it with confidence. We want chatbots to become a transactional tool, not just an informative tool. • This article provides a quick view of the Intelligent Bots platform included with Oracle Mobile Cloud Enterprise. The article will review some details about chatbots, and will serve as an introduction to more extensive articles to come. • First of all, we need to understand that chatbots are a cloud-based platform. Oracle—and the rest of the industry—has become cloud-based. Chatbots work perfectly in the Cloud, having interactions with APIs, Facebook, Web Portals, etc. • Having said that, let's start with an overall review. The case we are going to review is based on a lab that I had access to and training Oracle provided to me and the rest of my team.
The screen displays all of the bots that have been created so far on this platform. To create a new bot, click the New Bot button
Next, we need to introduce some basic information, such as the name of the chat and a brief description. In this particular case, we will create a very simple bot for a financial institution, The bot will provide customers the ability to check bank account statements. Click Create (Figure 3).
The first option is called Intent. Here, we will record some questions about a certain topic so the chatbot can acquire the information it needs to fulfil the requirement. We will configure more of these later. 2. The second part is to configure Entities that will be used by the Intents. Let’s configure the scenario in which the customer wants to check his/her bank account balance. The Intent could be: I want to know the balance of my checking account. The Entity will be Account. We will configure the Entities in the following section (Figure 5):
4. The fourth option is called Components. This section will allow you to configure the components that will be used in the Flow for specific actions. 5. The fifth option is Settings, which allows us to: a. Connect our newly-created bot to Facebook or another channel. b. Connect our bot to personalized components like APIs. The following steps are required to create a bot: Create an Intent. We will call it Balances. 2. Create an Entity named Account Type. 3. Create a Flow. 4. Train the bot. 5. Test the bot.
Conclusion The Oracle Intelligent Bots platform has great capability to connect with other backend services and APIs. As mentioned, bots feed predominantly from APIs. This article presents only a quick view of the platform. Upcoming articles will demonstrate how to: Create a new chatbot Write your own YAML Perform an API-chatbot integration through the components
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