In this second session of the Let’s Talk Knowledge Engineering series, Ben Taylor, Rainbird CTO and co-founder, is joined by Lewis Leeds from Rainbird’s Knowledge Engineering team to explore how subject matter expertise is captured and turned into practical, scalable AI solutions.
Together, they walk through the process of knowledge elicitation, from surfacing the reasoning experts often leave unsaid to structuring that knowledge into concepts, relationships, and rules inside Rainbird. The session also covers how knowledge engineers test and refine what they build, and how tools such as Generate from Docs and Co-Author help accelerate the process.
You can register for the remaining sessions in the series here.
What you’ll learn
- Why knowledge elicitation matters, and how asking the right questions helps uncover the reasoning experts often leave implicit.
- How to distinguish between declarative, procedural, and heuristic knowledge, and why each matters when building decision models.
- What practical elicitation methods look like in practice, including structured interviews, think-aloud walkthroughs, edge case probing, and document analysis.
- How expertise is encoded in Rainbird using concepts, relationships, and rules, and why separating knowledge from data matters for scale and reuse.
- How iterative testing, refinement, and tools like Generate from Docs and Co-Author help knowledge engineers move from raw expertise to working solutions.
Resources shared in the webinar
- Rainbird Studio Community Edition: Experiment, model, and bring decisions to life, visit app.rainbird.ai
- Rainbird Academy: Learn the foundations of explainable decision intelligence, visit academy.rainbird.ai
- Rainbird Forum: Ask, discuss, and shape the conversation, visit forum.rainbird.ai