About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Nice Actimize Launches AI-driven Managed Analytics Service

Subscribe to our newsletter

Financial crime management specialist Nice Actimize has expanded ActimizeWatch, its secure cloud-based managed analytics service, to its Financial Markets Compliance solutions.

Leveraging its cloud-based financial crime risk management Platform-as-a-Service, X-Sight, ActimizeWatch provides scalable analytics automation and a two-prong approach that includes Model Optimization and Development Services and Anomaly Detection.

Both functions are offered as overlays to NICE Actimize’s Communications Surveillance, Markets Surveillance, and Sales Practices & Suitability solutions, and offer the ability to anonymously pool and leverage lessons learned across the collective intelligence of NICE Actimize customers, so firms can see larger threats at play in the marketplace and take steps to avoid them.

The Anomaly Detection function utilises unsupervised machine learning models to detect anomalies in monitored employee transactions and communications. These anomalies are then presented in dashboards to compliance analysts for further investigation. Confirmed risks are fed back into the detection models for further refinement, enhancement and retraining.

“In financial services, change can be unrelenting. When surveillance detection models don’t keep pace with change, firms risk falling out of compliance and unnecessarily driving up compliance costs,” says NICE EVP Chris Wooten. “ActimizeWatch’s analytics-as-a-service helps [them] get out in front of changing conditions and uncover hidden compliance risks without taxing resources.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: FRTB: The time to get your data in order is now

Fundamental Review of the Trading Book (FRTB) regulation requires firms within its scope to source significant amounts of data, some of which has not previously been required and is difficult to pin down. The data management challenges of the regulation’s Internal Model Approach (IMA) to market risk capital calculations include ongoing P&L attribution, back testing...

BLOG

ThetaRay Extends Agentic AI into AML Investigations with Ray

As regulatory expectations around anti-money-laundering (AML) effectiveness continue to rise, many financial institutions are finding that the greatest operational pressure now sits in investigations rather than detection. While transaction monitoring models have advanced, the downstream work of reviewing alerts, assembling evidence and documenting decisions remains labour-intensive and difficult to standardise. ThetaRay is addressing this challenge...

EVENT

Data Management Summit New York City

Now in its 15th year the Data Management Summit NYC brings together the North American data management community to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

Tackling the Data Management Challenges of FATCA

As the July 1, 2014 deadline for compliance with the Foreign Account Tax Compliance Act – or FATCA – approaches, financial institutions around the world are working to ensure their data management and operational systems will meet the requirements of the US legislation. This report discusses the requirements of FATCA and how the legislation is...