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
Genware Fraud Detection Webinar
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Success with TIBCO:
3 vs. 10-12
Months to develop a real-time system with TIBCO Streaming vs. open source
1
centralized source of information, down from 10
$300K SAVINGS/MONTH
In electricity consumption via analytic-driven asset utilization
22 PERCENT INCREASE
In revenues via price optimization, cross-sell, and fraud detection