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WHITE PAPER
From noise to knowledge: Why financial AI needs trusted news 
Financial institutions are navigating an unprecedented surge in information – where volume, veracity and velocity of news is accelerating, but trust is diminishing.

As AI becomes embedded across trading, risk, compliance and investment workflows, the quality of the underlying news is no longer optional – it is foundational.  

Turn information overload into your decision-making advantage 

AI can process more information than any human, but it can only deliver value when grounded in trusted, accurate and point-in-time correct data. In a landscape shaped by millions of daily news items, weak inputs create noise, deliver model error and pose real financial risk at scale.  

This white paper, developed in partnership with the A-Team Group, explores how high-quality, trusted news, enriched with metadata and structured for use by machines, enables firms to filter the signal from the noise and build more reliable, explainable AI workflows.
Download the white paper



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What you’ll learn:
Trends and pre-requisites to ensure news delivers on the objectives of AI usage. 
Why data quality, not data volume, is the defining factor for financial AI success.  
How trusted, point-in-time news reduces model error and improves decision-making. 
The role of metadata and enrichment in making unstructured news AI-ready. 
How RAG and governance frameworks support explainability and compliance. 
Real-world use cases transforming trading, risk and investment workflows.