regulatory reporting, despite consistent data volumes. According to Pradhan:“ Cost reduction with Snowpark was so impactful that I had to adjust my budget for this year.”
The pattern that emerges from these implementations is that successful AI projects tend to focus on specific operational challenges rather than broad technology deployments. Banks deploying AI for anti-money laundering, for example, need systems that can identify suspicious transactions whilst minimising false positives that overwhelm compliance staff. Insurance companies face similar requirements when using AI for claims processing,
NYSE: BY THE NUMBERS
The New York Stock Exchange operates multiple markets including NYSE American, NYSE Arca and NYSE Chicago, processing transactions worth approximately US $ 250bn in notional value daily. Parent company Intercontinental Exchange runs exchanges, clearing houses and data services across the US, Europe, Singapore and Abu Dhabi. The exchange maintains detailed audit trails for every transaction with seven-year data retention periods, whilst the Consolidated Audit Trail captures granular transaction data across all US markets. fintechmagazine. com 63