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.
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Trends, insights, and practical guidance on how trusted data and AI shape decision-making.
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How to Prevent AI From Scaling the Bias Already in Your Data
Your data is almost certainly biased. What matters is how your AI acts on it. Learn how knowledge graphs help make AI decisions defensible.
Why AI Agents Need a Context Layer and What Belongs Inside It
Gartner® identifies the absence of a dedicated context layer as a major contributor to the value gap between AI investments and outcomes. Find out what they are and why real-world context is necessary to drive reliable and trusted decisions from AI agents.
North America Just Rewrote the Rules on Fraud
Eighteen months of new rules across banking, insurance, government, and trade all point the same way. Liability for authorized fraud is shifting to institutions, and prevention is now the standard they will be measured against.
Four Decades of Passion, Collaboration and Mentorship in the Fight Against Financial Crime
From the first red flags for human trafficking to the safe harbor that changed how banks report suspicious activity, John Byrne built much of the infrastructure AML professionals now take for granted. Four decades on, he's just as candid about what still isn't working.
Why You Need a Trusted, Contextual Data Foundation for Confident, Explainable AI-Driven Decisions
AI ambition fails without trusted, unified, and governed data. Find out how to build a contextual data foundation that powers confident and explainable AI-driven decisions.
Using Empathy and Education to Help Drive AFC Excellence
Anti-money laundering compliance can be relentless enough to turn people into robots just clearing the queue. Jamie Thomas of Fulton Bank says empathy and a shared sense of why the work matters build a stronger, more resilient team.
Every Technology Revolution Has A Hidden Foundation. This One Is Built On Context.
Long before 'context' had a name, we were building the entity resolution and knowledge graph technology that makes AI trustworthy, at the scale the world's most regulated institutions demand.
The Case for Decision Intelligence in Financial Crime
Financial institutions can see the money and law enforcement can see the digital infrastructure behind the crime, but almost never both at once. Closing that gap is now the biggest opportunity in financial crime prevention.