Apollo is incorporated with 350 types of machine learning algorithms, offering end-to-end control, right from data ingestion to reporting and case management. It is also built for data handling and reports and case management. Its architecture revolves around data sourcing, business models, and outcomes for investigations. Wipro Holmes is an AI platform consisting of cognitive computing services, predictive systems, cognitive process automation, visual computing applications, and knowledge virtualization. The solution is framed using machine learning, natural language processing, genetic and deep learning algorithms, and pattern recognition to provide solutions for accelerating processes for detecting network-based anomalies. The solution recently helped a professional company to establish regulatory compliance with headcount assertion. They faced the challenge of managing a mobile workforce of over 100,000 employees across various global locations. This had implications for billing, taxation, and regulatory filings. Traditional tools are limited to basic correlation checks and could not carry out pattern matching. Based on the machine learning predictive score, Holmes prioritized the outliers. The presence of each employee was asserted based on past access patterns and employee location tracking was based on access privileges.
USP : In the anomaly detection market, Wipro offers the Apollo and Holmes solution. Apollo is an anomaly detection platform built to address challenges in fraud, risk, and compliance. The Wipro Holmes fraud and anomaly detection solution helps in proactive fraud, risk, compliance, and unintentional error detection.