Role:

Risk Leadership and Risk Professionals

SEE RISK IN A NEW LIGHT / PREDICT RISK AS NEVER BEFORE

The change that drives risk events is often buried in massive amounts of unstructured data. At the same time, the speed of change and the depth of connections between companies, concepts, and events has accelerated to the point where risk professionals must operate at a data scale that requires machine intelligence. Whether your focus is credit risk, operational risk, market risk, or other forms of risk management, ANVIL enables risk professionals to seamlessly incorporate the risk signals contained in unstructured data at an unparalleled scale.

Benefits:

Attr-box

Change Captured:

To see risk, let alone calculate and predict it, risk engineers and risk professionals need to see change both at the atomic level and systemically across time and across thousands of companies. However, the millions of daily events that create change, and change of state, are usually first expressed somewhere in the world as unstructured data. ANVIL captures and reflects that change in real time and at machine scale, so you can focus on what those changes mean for your business.
Attr-box

Prediction:

Past is prologue. Predictive modeling requires you to understand not only today’s change, but also see how similar change events and patterns have happened and evolved over time. ANVIL’s structured representation of millions of events captured from the world of unstructured information powers a volume and fidelity in risk modeling and hypothesis testing that before now, was simply not possible.
Attr-box

Scale:

Risk engineering requires understanding not just a few things, but tens of thousands of events, relationships, and more. With ANVIL the issue of scale disappears. Now, you can easily think about and model your problem at world scale.
Attr-box

Machine Ready:

Speed and costs matter. You need your risk engineers, analysts, and data scientists who support them to not just model and analyze change differently, but also to do significantly more of it. Today, data scientists spend 80-90 percent of their time trying to collect data and prepare it for analysis. ANVIL breaks this cycle of inefficiency by radically reducing the preparation work that consumes a significant percentage of critical time cycles.