Helping clients design, create, and maintain pattern detection systems
As an extension of a thriving machine learning department, pattern and anomaly detection models have much to offer the modern organization.
Artificial intelligence and specifically, machine learning detects fraud faster, more efficiently, and far more accurately than any contrived manual system. Patterns not seen by the naked eye can be captured easily using algorithmic models of ML.
From the rhythms of keystrokes to the culmination of data across platforms and internet properties, data irregularities are caught and reported by automated detection monitors. We work with clients to tackle these tough data recognition challenges and kick-off initiatives that lead to real-world monetary recapture.
The cost and time savings at scale of pattern detection systems and applications can be dramatic, when well-framed within the enterprise. Efficiency gains are often the catalyst toward meaningful reinvestments, paying for themselves in almost every instance.
Helping our clients create algorithms, software, and machine learning models to detect and prevent abuse at every stage of the customer experience.
“AI will help with data standardization, pattern detection, safe data sharing, prediction and anticipation.”
Head of AI Research,
JP Morgan Chase
Senior consultants with previous experience with these types of projects can set the stage for a well-framed engagement.
A focused session on your specific software applications, platforms, or projects. Typically this includes technical resources from both sides.