
Beyond Ontologies and Semantics in Banking: Why AI Needs Real-World Context
Discover why incorporating Real-World Context is crucial for bank's AI systems to effectively use data to enhance decision-making.
Dan is a technology leader with 27 years of experience helping organisations deliver business, data, and AI transformation. He combines deep technical expertise with a pragmatic understanding of organisational change, enabling enterprises to modernise technology platforms, build trusted data foundations, and adopt AI at scale to deliver measurable business outcomes.
At Quantexa, he has shaped the company's platform business, driving its strategy and product direction to accelerate enterprise data modernisation and AI adoption. His experience spans financial services, government, insurance, and logistics. Prior to joining Quantexa, Dan was the founder and CEO of a technology startup.

Discover why incorporating Real-World Context is crucial for bank's AI systems to effectively use data to enhance decision-making.
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