Real-time Risk Detection

Identify potential risk in a high-frequency stream with machine learning

Detecting risk in today's vast data lakes takes more than human intuition and hard work. Modern methods need to be employed to tackle the problem head on and in real time. The combination of machine learning and streaming analytics can power a new generation of applications that can detect risk with a high degree of accuracy in a variety of different business situations. Add to this comprehensive case management and you have a full end-to-end risk management system to enhance and complement your existing procedures.

Benefits

Spot Risk, Its Drivers, and Stop It

Machine learning is a branch of artificial intelligence that allows computers to detect patterns in data and automatically adapt the generated models as those patterns change. When leveraging machine learning in risk scenarios, businesses can not only spot where the riskiest data is, but also understand the likely drivers of risk, allowing them to create policies to combat it effectively.

Really Understand Your Success Drivers

Depending on your industry, risk could be customer churn, criminal transactions, or machine failure—It does not matter. Now a transparent, end-to-end solution applied to your data frees you from consultant dependency, empowering any business to own its own success drivers.

Really Understand Your Success Drivers

Depending on your industry, risk could be customer churn, criminal transactions, or machine failure—It does not matter. Now a transparent, end-to-end solution applied to your data frees you from consultant dependency, empowering any business to own its own success drivers.

Boost Efficiency and Productivity

Maximize customer satisfaction and retention and boost business efficiency and productivity. By maximizing the number of identified cases and minimizing false positives, you can create an optimal system for both operations and financial applications.