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: Maximising success when migrating big data and analytics to cloud

Migrating big data and analytics workflows to the cloud promises significant cost savings through efficient use of infrastructure resources and software that scales dynamically based on data volume, query load, or both. These are valuable gains for investment banks, but they can only be fully realised by taking a new approach to architecture and software...

BLOG

FCA and Turing Institute Collaborate on Synthetic Data to Advance AML Detection

The Financial Conduct Authority has published a research note from its synthetic data anti-money laundering project, an initiative that began in autumn 2024 and was developed with the Alan Turing Institute, Plenitude Consulting, and Napier AI to create a synthetic dataset for AML detection testing. The paper marks the culmination of that work to date...

EVENT

RegTech Summit New York

Now in its 9th year, the RegTech Summit in New York will bring together the RegTech ecosystem to explore how the North American capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

GUIDE

Regulatory Data Handbook 2024 – Twelfth Edition

Welcome to the twelfth edition of A-Team Group’s Regulatory Data Handbook, a unique and useful guide to capital markets regulation, regulatory change and the data and data management requirements of compliance. The handbook covers regulation in Europe, the UK, US and Asia-Pacific. This edition of the handbook includes a detailed review of acts, plans and...