FIs must prioritize strong governance and robust data when implementing AI systems to improve anti-money laundering processes. FIs should “start ...

An effective AI model starts with quality data, forcing financial institutions and fintechs to hone their data strategies for specific use cases.   ...

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 is rolling out AI tools for customer-facing applications and internal processes such as underwriting, sales and fraud detection.   The $64 billion ...

Asset-based lenders are unlocking efficiencies by using AI for structuring data and asset lifecycle management.   CHG-Meridian, a global leasing specialist that ...

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 ...

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 ...

Banks and large non-bank financial institutions are being asked to do two things at once: accelerate data-driven decisioning and AI, ...

Data breaches made headlines in 2025 in health care, manufacturing, technology, retail and financial services but AI can play a role in preventing them.  In 2025, data ...

Rocket Mortgage has even more data to lean on for its own AI-driven tools after its acquisitions of Redfin and Mr. Cooper this year.  ...