![]() In this use case, the user would like to know the name of an airline based on a known shortcut (for example, AA for American Airlines). The following step-by-step approach shows how to create the chatbot, but does not explain the context of the task in detail. Or, you can use the following steps to create the chatbot. ![]() After creating your account, you can call Watson Assistant to create the chatbot in your IBM Cloud account.It should take you approximately 45-60 minutes to complete the tutorial. This eliminates the need to create them from scratch in Watson Assistant, saving you time. Therefore, a semi-automated converter can be created to load intents, entities, webhooks, and, to some extent, dialogs for the routine. Details that cannot be directly converted are:.Entity names (There are many gold pack entities by default.).Details available from SAP CAI JSON files that can be mapped to Watson Assistant are:.For other variables and functions, I found that: I was able to use the same IBM Cloud Function for both the Watson Assistant and the SAP CAI chatbots. In comparison, SAP CAI generates seven downloaded directories, each having a JSON file with project information. With Watson Assistant, the data export generates a single JSON file as a project file. The chatbot that is described in this tutorial was built as an entry-level demo using SAP’s Conversational AI (CAI) to see what could be reused from the exported CAI data. A short experiment: SAP Conversational AI to IBM Watson Assistant migration The tutorial is for anyone new to these processes, and explains how to get an IBM Cloud account, set up your first chatbot, and connect the chatbot through an IBM Cloud Function with a publicly available odata service. This tutorial is the first in a series of tutorials that will show how to use IBM Watson Assistant along with SAP Systems (S/4HANA, Ariba, and so on). You can read more about this in SAP to Embed IBM Watson Artificial Intelligence into SAP Solutions. SAP recently announced that they are embedding IBM Watson AI into their solutions. With Watson Assistant, you can build conversational interfaces into any application, device, or channel.Īs shown in the SAP Discover Center, SAP Conversational AI is scheduled to be removed from the list of Eligible Cloud Services on 31 July 2023. ![]() Using AI and natural language processing, Watson Assistant learns from customer conversations, improving its ability to resolve issues the first time while removing the frustration of long wait times, tedious searches, and unhelpful chatbots. IBM Watson Assistant is an AI-powered virtual agent that provides fast, consistent, and accurate answers across any messaging platform, application, device, or channel.
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