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Find out how machine learning can deliver actionable intelligence to anti-money laundering teams.
Uncover how you can apply a risk-based approach using latest data science tools for criminal pattern discovery. A look at next generation AML compliance driven by machine learning and graph analytics.
Blockchain can help increase the level of data traceability and integrity, improving the quality of your banks’ transaction monitoring capabilities. How does it really work?
Understand how you can overcome common AML/CTF challenges for smaller institutions with cost-effective and efficient behavior detection and investigation systems.
At least $1.8 trillion in criminal proceeds are laundered every year. How much of it goes through your bank?
Leverage Oracle’s core capabilities in data for effective monitoring and detection. Harness more than 25 years of industry expertise in anti-financial crime solutions, augmented by capabilities like machine learning and advanced analytics to resolve data fragmentation and make your transaction monitoring/detection more effective and efficient.
There are no winners or losers in financial crime—it is about who has the smarter technique to launder money through the system.
AI-powered case decisioning and entity resolution lend decision support, so that more time is spent investigating truly suspicious activities instead of weeding out false positives.
It takes a network to tackle a network. Oracle’s collective graph intelligence and adaptive machine models are the next breakthrough in uncovering criminal activity across institutions and reliably analyzing vast quantities of data.
Our collaborative partner ecosystem means that you access the latest incremental innovations in advanced analytics technologies like natural language processing, artificial intelligence, and robotics process automation. Enhance your operational efficiency while gaining deeper insights into customer relationships and transactional activity.
Anti-money laundering compliance demands have grown in complexity and volume. At the same time, banks need to strike a balance between robust governance and processing speed.
Manage compliance faster and smarter with streamlined regulatory analytics, sound data integrity, and sophisticated data visualization.
Arin Ray, senior analyst at Celent, writes about the growing pains in anti-money laundering (AML) operations, potential opportunities gained by leveraging advanced analytics, and its adoption trends and impact.