From raw to riches: A lender’s path to data readiness in AI era
Trying to operate an AI model with bad data is like asking a Michelin-star chef to cook with rotting table ...
Tag: data
Data centralization, AI can help combat chargeback fraud
AI can be a valuable tool in identifying and preventing chargeback fraud — a growing problem — but only if ...
Implementing AI for AML requires resolute leadership, comprehensive data
FIs must prioritize strong governance and robust data when implementing AI systems to improve anti-money laundering processes. FIs should “start ...
Feeding the beast: 3 keys to data quality in the AI era
An effective AI model starts with quality data, forcing financial institutions and fintechs to hone their data strategies for specific use cases. ...
Clear Capital bets on AI property analysis
The mortgage industry is adopting AI for underwriting, sales, origination and now property analysis. A labor productivity analysis by the McKinsey Global Institute estimates that AI ...
Valley Bank using AI for collections, sales, fraud detection, underwriting
Valley Bank is rolling out AI tools for customer-facing applications and internal processes such as underwriting, sales and fraud detection. The $64 billion ...
AI boosts lending efficiencies by structuring data, managing assets
Asset-based lenders are unlocking efficiencies by using AI for structuring data and asset lifecycle management. CHG-Meridian, a global leasing specialist that ...
Data infrastructure key for Bankwell’s AI deployment
Bankwell is investing in its data infrastructure in order to achieve the best returns from its AI deployment. “We are investing in building a robust data infrastructure,” Ryan Hildebrand, executive ...
Banks overlook critical AI infrastructure for scaling
Many financial institutions are overlooking core infrastructure requirements for deploying AI at scale. Despite increased technology spending, 41% of banks lack a centralized or optimized data foundation to support AI ...
Data capital and the new governance table
Banks and large non-bank financial institutions are being asked to do two things at once: accelerate data-driven decisioning and AI, ...
