Most enterprises already have more of an AI foundation than they realize. Taxonomies, metadata standards, business rules, data catalogs, ontologies, and knowledge graphs may already exist across the organization. Yet AI outputs still cannot always be trusted enough for critical business decisions.
The problem may not be a lack of technology. It may be that these assets were created at different times, for different purposes, without the governance, connections, or context AI needs to use them effectively.
In this Activator Conversation, Factor’s Bram Wessel speaks with Ashleigh Faith, Ontologist and host of IsA DataThing, about how organizations can move beyond the terminology and determine what their AI actually needs.
You’ll learn:
- Why a specific business use case should come before any investment in a context graph
- How to identify and evaluate the semantic assets your organization already owns
- Why governance, constraints, and time-sensitive information are essential to trusted AI
- How a small, precise context graph can address a critical problem without requiring a large enterprise build
- How golden datasets and short experimentation cycles help teams test, learn, and improve
- Why internal ownership and knowledge transfer are necessary to create a durable capability
The conversation offers a practical path for organizations that want to improve AI performance without rebuilding everything from the ground up.
About Ashleigh Faith:
Ashleigh Faith has almost 20 years of experience working on AI and knowledge graph solutions across the academic, STEM, government, retail, entertainment, and finance industries. With a PhD in Advanced Semantics, she also works as an academic researcher in these fields. She hosts the nonprofit YouTube channel IsA DataThing, where she demystifies AI, knowledge graphs, and information retrieval.