Oracle has arrived with their strategic capability in the Chatbot arena. This has just arrived with an upgrade of the Oracle Mobile Cloud. In this blog we will look at the product features, its strengths, how far on the chatbot maturity model the product can take us, and what can we expect. The Oracle Intelligent Bot, as it is named, is a feature of the Oracle PaaS family and embedded in the Oracle Mobile Cloud Service, Enterprise. Oracle announced chatbots last October at Oracle Open World and as a result of questions provided a NodeJS based Chatbot (created by the A-Team) that shows the potential of Chatbots, but this initial solution does not contains intelligence such as Natural Language Processing. The Intelligent Bot that now is generally available is based upon a framework that supports intelligence and conversation capabilities that leverage Oracle’s investment in AI that promises a continuous growth in the future. This blog maps the chatbot capabilities as described in previous blogs towards the Oracle Intelligence Bot and provides an outlook in what is yet to come.
– How can Chatbots meet expectations? Introducing the Bot Maturity Model
– Chatting with the chatbots? – How intelligence makes the conversation
– Integrating the Chatbot
Looking at the architecture, the Oracle Intelligent Bot supports a clear separation between Interacting with the channels (Facebook, etc.), the actual Intelligence, dealing with providing an answers, and the Integration with backend systems.
The Intelligent Bot delivers the capabilities to do chatbot conversation but does not provide its own dedicated chatbot channel to do so. It just allows already existing (and in the future new to arrive) chatbot channels, such as Facebook messenger, Slack,Amazon Echo and your own custom channel via an API to tap into the bot engine and perform a conversation.
The three high level areas previously mentioned can be described as: Read the complete article here
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