Artificial intelligence is reshaping banking, enabling new levels of automation, insight and customer interaction. Yet as institutions scale their AI capabilities, a persistent challenge remains: ensuring consistency, accuracy and trust in how data is interpreted across systems.
This is not just a technical issue. It is a question of meaning.
Without a shared understanding of core financial concepts such as accounts, transactions, or exposures, even the most advanced AI models can produce inconsistent or misleading outcomes. This becomes particularly critical in areas like conversational banking, where real-time interpretation leaves no room for ambiguity.
This page brings together Capco’s latest perspectives on how ontologies and semantic layers address this challenge. Drawing on insights from the Financial Industry Business Ontology (FIBO), we explore how banks can move beyond data and models toward a more structured, machine-readable understanding of financial concepts.
Educating AI in banking with ontologies: lessons from FIBO and conversational banking
At the Data & AI Warsaw Tech Summit, our Capco experts explore why AI in banking needs more than data and models. Discover how ontologies like FIBO create a shared understanding of financial concepts, enabling reliable conversational banking at scale.
Missed our session at the Data & AI Warsaw Tech Summit 2026?
Watch the full recording of “From Data to Meaning: Educating AI in Banking with Ontologies” and discover why the next step in AI is not just about more data or better models, but about building a shared understanding of business meaning.
