From Taxonomy to Trust: Building AI on a Solid Data Foundation

On-Demand Webinar | Watch the recording of our session with leading data experts on building stronger AI through better data.

Missed the live event? No problem, you can watch the full recording on demand by filling out our form.

In this session, Andy Hannah (CEO & Co-Founder, Blue Street Data) and Jessica Talisman (Founder, Ontology Pipeline) explored how stronger data organization leads to more reliable AI outcomes.

They covered:

  • Why incomplete or misaligned classification quietly erodes AI performance

  • How ontologies and taxonomies define the logic that AI depends on

  • Practical methods to improve clarity, reduce risk, and build trust in your data

Your models are only as strong as your data and this session will show you how to make that foundation stronger.

Our Speakers:

Live Webinar

Is “Quality” Killing Your AI? Defining Data Fit for Strategic Success

February 18th, 2026 / 1:00 PM EST

Every data investment carries risk unless you know how to measure its “fit” for the mission. Many organizations assume that “high-quality” data is sufficient for AI and analytics, only to discover too late that data fit is the real determinant of success. In this live session from Blue Street Data’s Building with Better Data series, Andy Hannah and Malcolm Hawker unpack why data that works for BI can be dangerous for AI, leading to model failure, wasted spend, and lost trust. You’ll learn how to define, measure, and validate data fit so your models deliver reliable, business-aligned outcomes. Reserve your spot today!