With a high frequency of transactions per day and a lack of effective real-time analytics, companies across the financial services industry are often unable to predict, monitor, detect, or prevent anomalies.
Presented by Solutions Architect from Genware Computer Systems, Arsen Sahakian, this demo will explore the architecture of a streaming application that uses data science algorithms and machine learning models to identify failed transactions in real time.
Join us for this live webinar where we will:
- Tackle and overcome common challenges in the financial services industry such as fraud detection, money laundering prevention, and predictive maintenance
- Apply TIBCO Spotfire® and TIBCO® Streaming software to detect various anomalies in your business
- Manage risk through an immersive, smart, and predictive decision-making model