Fighting financial crime with AI: How cognitive solutions are changing the way institutions manage AML compliance, fraud and conduct surveillance
In this relevant and timely whitepaper, learn why and how the financial industry is entering a critical time for the adoption of artificial intelligence, advanced analytics and robotic process automation, loudly buzzing buzzwords echoing through the halls of banks across the country and around the world.
These nascent technologies hold the tantalizing promise to both alleviate the burden of regulatory compliance requirements as well as enhance the detection of fraud, money laundering and employee conduct violations -- providing richer and more tactical intelligence for law enforcement.
Fraud and compliance challenges are reaching a critical point, exposing banks to additional regulatory and investigative scrutiny
Regulators and financial institutions are changing their views of artificial intelligence (AI) as authorities issue a clarion call for convergence and innovation
Top financial crime AI use cases, giving a practical look at how soaring false positive rates can plummet, increasing both efficiency and effectiveness
IBM point of view: Financial institutions are gaining value from cognitive solutions that make the most of data, systems and the subjective, but vital, decision-making expertise of humans
A no-nonsense Checklist for the AI journey to ensure your institution avoids potential pitfalls