Docxonomy
Thomas Kivlehan is an accomplished Chief Data Officer at Docxonomy, where since May 2017, Kivlehan has led efforts to enhance understanding of regulated industry content through an intelligent insight solution leveraging artificial intelligence and machine learning. Prior experience includes roles at EMC as Lead Architect in the Mobile Consulting Practice and Senior Manager of Consulting Services, where Kivlehan focused on mobile solutions and life sciences industry implementations with Documentum. Kivlehan also held senior positions at Sitrof Technologies, Logical Software Solutions, Deloitte & Touche (Ireland), Altro Solutions, and Glemser Technologies, contributing to the development of Documentum-based content management systems. Thomas Kivlehan earned a Bachelor of Science in Computer Engineering from Lehigh University.
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Docxonomy
Docxonomy is an intuitive AI-powered platform designed for businesses. It effortlessly processes both unstructured and structured data within your organization’s network. With its advanced capabilities in natural language processing (NLP), language generation (NLG), AI, and machine learning, Docxonomy can analyze diverse data types – from Office documents to multimedia and databases. It excels in extracting relevant context and industry-specific insights, classifying files, pinpointing key entities, and offering precise answers. Choose between on-premise or cloud deployment, with quick setup times and no need for extensive consulting. Docxonomy is tailored for immediate industry-specific use, ensuring a swift ROI.