Rainbird: The basics

In this video series, we introduce you to the basics of using Rainbird. You don’t have to be a software engineer to navigate Rainbird – with our authoring platform, it’s easy to create dynamic knowledge maps and put specialist expertise to best use in your business.  

Using the same basic knowledge map as a foundation, the following videos highlight how numerous features are added to make the most of the flexibility and power of the Rainbird platform.

Watch the videos below, then try Rainbird for yourself with our interactive demos.

Cognitive Reasoning Demo 1 – Rainbird Basics

In this quick introduction to the Rainbird authoring environment, we explain how to build a simple knowledge map that can drive inferences, based on a single piece of logic.

It is easy to make factual statements, but the key to cognitive reasoning lies in creating rules that can use separate pieces of knowledge and drive inferences. If a person is born in a country and that country has a national language, then the inference is that the person probably speaks that language. Rainbird can do exactly that – take a look…

In the clip below, we show you how to:

  • Build your model by defining concepts and the relationships between them.
  • Add new data to your model.
  • Define a single rule.
  • Create a query to test Rainbird’s knowledge.

 

 

Play with this agent…

Try out the chatbot version of our basic reasoning agent. This simple chat tool doesn’t require any further integrations, demonstrating how Rainbird can be used in its simplest form to answer a pre-defined query.

Cognitive Reasoning Demo 2 – Weighting with Rainbird

Watch how Rainbird dynamically changes its behaviour to respond to your levels of certainty.

In this video, we demonstrate how adding another relationship (in this case, between a person and the country they live in) to an existing rule allows Rainbird to enhance the subtlety and certainty of its decision making. The Rainbird ‘weighting and behaviour’ feature allows the author to define the importance of a specific condition within their rule set – influencing Rainbird’s behaviour, the questions it asks to obtain missing data, and its eventual decision.

Together, these tools enable anyone to create expert knowledge models that are skilled at handling ambiguity – consistently and accurately.

See for yourself how weighting influences Rainbird’s processes…

Follow our chat agent’s guided interaction, and watch how Rainbird asks you for the information its needs, as well as how certain you are that it’s accurate.

Cognitive Reasoning Demo 3 – Scoping with Rainbird

Find out more about Rainbird’s capabilities with ‘scoping’, a technique for uniquely identifying a user and retaining data from their interaction, so that, in future interactions, Rainbird doesn’t need to ask for the same facts again and again.

‘Scoping’ might be one small feature of the Rainbird platform, but it can create great solutions for efficient and satisfying customer service interactions.

Put Rainbird’s ‘scoping’ skills to the test…

Choose a unique context ID for your interaction and enter it in the top field. Run through the interaction once, then try it again using the same ID and find out what Rainbird can do…