WEBINAR SERIES: 25 March – 20 May 2026
Join our team of Knowledge Engineers in a live series that explores the ins and outs of knowledge engineering, a growing field that bridges business expertise and AI systems.
Webinar Registration
Click the link below to register for our upcoming webinars.
If you are interested but not available on the day, just sign up and you will receive the recording after the event.
- Webinar 1: Introduction to Knowledge Engineering
- Webinar 2: Converting Subject Matter Expertise into Solutions
- Webinar 3: Best Practices in Knowledge Engineering
- Webinar 4: Panel with Rainbird Knowledge Engineers
- Webinar 5: Knowledge Engineering in Practice
Introduction
AI is moving fast and many organisations are running into the same questions:
- How can we make sure our AI systems give answers our experts would agree with?
- How can we trust the answers they produce?
- And how do we understand why a system reached a particular conclusion?
That’s where knowledge engineering comes in. It’s the discipline that helps turn policies, documentation and expert understanding into systems that can reason clearly and consistently.
This webinar series is an opportunity to explore how that works in practice. Over eight weeks we’ll look at how organisations capture expertise, structure knowledge, and build AI systems that produce answers people can understand and trust.
Webinar Series Overview
Rainbird co-founder and CTO Ben Taylor will host this five-part live webinar series alongside members of Rainbird’s Knowledge Engineering team.
Each 45-minute session explores a different aspect of knowledge engineering, from the fundamentals of the field through to practical examples of how expert knowledge becomes something an AI system can work with.
If you’ve ever helped turn complex rules or expertise into something structured, whether that’s building decision trees, creating logic in spreadsheets, writing prompts, or documenting processes, you’ve already encountered the kinds of thinking Knowledge Engineers use every day.
These sessions are designed to make the field easier to understand, share practical experiences, and open up a conversation about how expertise becomes usable inside AI systems.
You don’t need to be a programmer or have a technical background to follow the discussion. Curiosity and clear thinking are far more important.
Upcoming Live Webinars
Webinar 2: Converting Subject Matter Expertise into Solutions
8 April 2026, 14:30 GMT / 19:00 IST
Experts often know far more than what’s written down. In this session we’ll talk about how Knowledge Engineers work with subject matter experts to turn their knowledge into knowledge graphs that can power AI systems. We’ll look at practical techniques and some of the challenges teams face when doing this work.
- What is knowledge elicitation and why it matters
- Types of knowledge
- Techniques for eliciting knowledge
- Transforming elicited knowledge into knowledge graphs that can power AI systems
- Challenges teams face when eliciting knowledge
- Tools engineers can use for elicitation
Webinar 3: Best Practices in Knowledge Engineering
22 April 2026, 14:30 GMT / 19:00 IST
As knowledge engineering projects grow, keeping things clear and manageable becomes important. This session looks at practical ways to build knowledge graphs that are reliable, easy to test, and easier to maintain over time. We’ll also share lessons learned from real projects.
- How to identify the best architecture for your solution
- How to build your solution with data in mind
- Building scalable and reusable knowledge graphs
- Methods for testing knowledge graphs
- How to collaboratively build your knowledge graph
- Managing change
Webinar 4: Panel with Rainbird Knowledge Engineers
6 May 2026, 14:30 GMT / 19:00 IST
In this panel session, members of the Rainbird Knowledge Engineering team will share what the work is actually like. We’ll talk about:
- How projects run
- How teams work with experts
- What surprised our Knowledge Engineers when they first entered the field
- Expect an honest and practical discussion.
Webinar 5: Knowledge Engineering in Practice
20 May 2026, 14:30 GMT / 19:00 IST
In the final session we’ll look at knowledge engineering in action. We’ll walk through how a real problem can be structured and tested inside an AI system. The session will include a live demonstration along with time for questions.
We’ll use a tax example to:
- Demonstrate eliciting from source documentation
- Building a knowledge graph from the elicited information
- Running tests on the newly built model
- Bonus: Build challenge overview
Watch Past Webinars
Webinar 1: Introduction to Knowledge Engineering
In this first session of the Let’s Talk Knowledge Engineering series, Ben Taylor, Rainbird CTO and co-founder, is joined by Eliza Filby, Senior Knowledge Engineer, to introduce the discipline of knowledge engineering and explain why it matters now.
Together, they outline how organisations can capture expert reasoning, structure it into transparent models, and use those models to power AI systems that are consistent, auditable, and explainable. The session also includes a live Rainbird Studio demonstration using a UK tax split-year example, showing how symbolic AI works in practice and how expert knowledge can be turned into a working reasoning model.
Explore Further
If you’d like to go a bit further after the webinars, there are a few free resources you can explore.
Rainbird Academy
Free self-led training and certification that introduces the foundations of knowledge engineering. Visit the Rainbird Academy
A place to connect with others interested in knowledge engineering, share ideas, and ask questions. Visit the Community Forum
A hands-on environment where you can explore how knowledge engineering works and experiment with ideas yourself. Visit the Rainbird Studio
Join the Conversation
Knowledge engineering is still a growing field, and a lot of progress comes from people sharing ideas and learning from each other.
This webinar series is simply a place to start those conversations.
If it sounds interesting, we’d love you to join us for one or more of the sessions.
Let’s talk knowledge engineering and see where the conversation leads.