The proven field of AI and machine learning for anti-money laundering (AML) is the only technology that can effectively improve financial crime investigations, scale to the volume and velocity of the modern financial system, and counter criminals’ evolving approaches to money laundering. QuantaVerse published a new paper that examines how financial institutions can apply AI […]
Applying AI Technology to Reduce AML Risk for Global Financial Institutions
October 23, 2017 by Leave a Comment
How Data Science Can Save the Traditional Banking Industry
December 15, 2016 by Leave a Comment
In today’s technologically advancing world, traditional banking groups are being seriously challenged. As Google, Amazon, Facebook, Apple offer more and more banking services and financial technology startups gain traction, the banking industry must take a look at how it can stay competitive. To do this, banking needs to rely on data science.
Mitigating IT Risk for Financial Risk Analytics
August 29, 2016 by Leave a Comment
Financial Risk Analytics has evolved beyond a secondary regulatory and cost-focused perspective, to become a core part of businesses. Today, Risk Analytics provides a competitive edge by enabling businesses to efficiently use capital and manage risk exposures with higher confidence to make better informed and timelier business decisions. Hence CEOs increasingly rely on their CFOs and their Chief Risk Officers (CROs) for strategic advice and active risk management.
