Author: Hovav Schreiber, Data Scientist
Hovav Schreiber is a Data Scientist and Machine Learning Engineer specializing in Large Language Models (LLMs) and Generative AI solutions. In his current role, he focuses on researching and implementing cutting-edge AI technologies to develop new product features. Hovav has several years of experience in data science and Natural Language Processing, with particular expertise in LLMs. Prior to his current position, he worked at Cognyte, where he led the development of LLM-based copilot features and network analysis capabilities for investigative analytics software. His work sits at the intersection of research and practical implementation, bringing innovative AI solutions to real-world applications.
Mosaic AI Insights: Transforming Fraud Analysis with GenAI
Fraud is evolving. Sophisticated tactics and advanced technologies make fraud investigations increasingly complex, leaving analysts buried under mountains of data. The cost? Critical patterns are missed, investigations drag on and organizations remain vulnerable. But what if there was a way to turn the tide — automating investigations, cutting detection time and delivering consistently high-quality analysis? […]