Carl Ottman

Title: Carl Ottman: Innovator in Machine Learning and Risk Networks

Introduction

Carl Ottman is a notable inventor based in Katonah, NY (US). He has made significant contributions to the field of machine learning, particularly in the context of risk networks and fraud detection. With a total of 2 patents, his work exemplifies the intersection of technology and practical applications in risk management.

Latest Patents

Carl Ottman's latest patents include innovative systems and methods that leverage machine learning to enhance the detection of fraud. One of his patents focuses on applying machine learning to learn relationship weightage in risk networks. This computer-implemented system receives data representing transacting parties and defines relationships between them. It incorporates this data into a relationship network graph, which captures information about the parties involved in transactions. A risk model is then utilized to determine risk weights for the relationships based on the captured data. The system dynamically updates the risk weight based on the association score of the parties involved.

Another significant patent by Ottman involves incorporating feedback in network graph hotspot identification. This method generates a hotspot confidence score for a hotspot in a network graph by receiving input data that includes multiple messages. The method identifies hotspots within the network graph and compiles characteristics for these hotspots. User feedback is then integrated to generate a confidence score, enhancing the accuracy of hotspot identification.

Career Highlights

Carl Ottman is currently employed at International Business Machines Corporation (IBM), where he continues to innovate and develop advanced technologies. His work at IBM has positioned him as a key player in the field of machine learning and risk analysis.

Collaborations

Throughout his career, Carl has collaborated with esteemed colleagues such as Srinivasan S Muthuswamy and Subhendu Das. These collaborations have further enriched his research and development efforts in the technology sector.

Conclusion

Carl Ottman's contributions to machine learning and risk networks demonstrate his commitment to advancing technology for practical applications. His innovative patents reflect a deep understanding of the complexities involved in fraud detection and risk management. His work continues to influence the field and inspire future innovations.