In this fourth session of the Let’s Talk Knowledge Engineering series, Ben Taylor, Rainbird CTO and co-founder, is joined by members of the Rainbird Knowledge Engineering team, including Lewis Leeds, Lucie Hunt, and Ellie Young, for a live panel discussion focused on the realities of the role in practice.
Together, they share first-hand perspectives on how knowledge engineering projects run day to day, how teams work with subject matter experts to capture and structure expertise, and what surprised them when they first entered the field. The session offers an open and practical view of the discipline, covering everything from elicitation and modelling to testing, maintenance, and the evolving role of Knowledge Engineers alongside modern AI approaches.
You can register for the remaining session in the series here or watch past episodes here.
What you’ll learn
- How knowledge engineering work is carried out in practice, from initial discovery through to building and maintaining models.
- How teams collaborate with subject matter experts to surface reasoning and turn it into structured, usable knowledge.
- What skills and mindsets are most valuable when entering the field, and how different backgrounds translate into the role.
- Common challenges Knowledge Engineers face, including handling edge cases, testing complex logic, and managing change over time.
- How knowledge engineering fits into the broader AI landscape, and why structured knowledge remains critical alongside LLMs.
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