Description
We expect dashboards to fetch data instantly, yet we’re comfortable waiting while AI “thinks.” That difference isn’t just experiential; it exposes a deeper architectural shift. AI requires meaning, not just metrics, but most enterprises haven’t built the semantic foundation needed to support it.
As enterprises race toward AI-driven decision automation, one truth is becoming impossible to ignore: bigger models aren’t enough. What organizations really need is a semantic foundation — an intelligence layer that gives AI a shared understanding of the business it’s meant to support.
Ryan Dolley and special guest Donald Farmer will examine why semantic models are rapidly becoming the most critical (and most overlooked) element of enterprise AI architecture.
Together, they’ll break down how semantic layers give AI the context, consistency, and governance it needs to reason rather than simply generate outputs.
You’ll learn:
- Why so many AI initiatives falter without a common business vocabulary.
- How semantic drift creates organizational chaos.
- And what it takes to build AI systems that deliver reliable, explainable intelligence across every team, workflow, and decision point.
This webinar is for leaders and practitioners who want to move beyond demos and prototypes and build AI that can think with your organization, not just talk to it.
Description
We expect dashboards to fetch data instantly, yet we’re comfortable waiting while AI “thinks.” That difference isn’t just experiential; it exposes a deeper architectural shift. AI requires meaning, not just metrics, but most enterprises haven’t built the semantic foundation needed to support it.
As enterprises race toward AI-driven decision automation, one truth is becoming impossible to ignore: bigger models aren’t enough. What organizations really need is a semantic foundation — an intelligence layer that gives AI a shared understanding of the business it’s meant to support.
Ryan Dolley and special guest Donald Farmer will examine why semantic models are rapidly becoming the most critical (and most overlooked) element of enterprise AI architecture.
Together, they’ll break down how semantic layers give AI the context, consistency, and governance it needs to reason rather than simply generate outputs.
You’ll learn:
- Why so many AI initiatives falter without a common business vocabulary.
- How semantic drift creates organizational chaos.
- And what it takes to build AI systems that deliver reliable, explainable intelligence across every team, workflow, and decision point.
This webinar is for leaders and practitioners who want to move beyond demos and prototypes and build AI that can think with your organization, not just talk to it.
Meet the speakers
Ryan Dolley is Vice President of Product Strategy at GoodData. He has 13 years experience in the analytics and business intelligence industry as an engineer, consultant and product executive. He's an avid dungeon master, chicken farmer, husband and father to 3 children.
Donald Farmer
Data Industry Expert, TreeHive Strategy
Donald Farmer is a seasoned data and analytics strategist, with over 30 years of experience designing data and analytics products. He has led teams at Microsoft and Qlik Technologies and is now the Principal of TreeHive Strategy, where he advises software vendors, enterprises, and investors on data and advanced analytics strategy. In addition to his work at TreeHive, Donald serves as VP of Innovation and Research at Nobody Studios, a crowd-infused venture studio.
