Can Better Data Be Your AI Advantage?

On-Demand Webinar | Watch the recording of our session with Blue Street Data Experts

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

In this session, our experts, Andy Hannah and Wyatt Schroth, broke down the frameworks, tools, and strategies you need to source better data for trustworthy, high-impact AI. 

We discussed:

  • Why high-quality outcomes demand high-quality inputs and where most teams can improve
  • The hidden costs of bad data, from inaccurate models to wasted spend
  • What a modern data quality evaluation process looks like in practice
  • Tools and frameworks your team can adopt today to raise the bar and mitigate risk

Whether you’re building internal AI tools, sourcing third-party data, or evaluating vendors, this recording will help you put data quality at the center of your strategy, where it belongs.

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!