Peter Swartz

Background

About Peter Swartz

Co-Founder and Chief Science Officer of AltanaPeter Swartz is co-founder and chief science officer at Altana, the world’s first Value Chain Management System. Through a unified, comprehensive approach to managing all production processes from extraction of raw materials through distribution of the final goods, Altana provides unprecedented visibility, contextualized AI decision support across business areas, and a collaborative network with end-to-end workflows to get jobs done. For the private sector, Peter's work touches upon compliance, sourcing/procurement, and insurance. For the public sector, his work focuses upon economic growth, security and resiliency, trade compliance, revenue recovery, and trade facilitation.Peter has spoken on value chains, global trade, and machine learning at the World Trade Organization, the World Economic Forum, the World Customs Organization, the US Court of International Trade, the National Academies of Medicine, and the O’Reilly and Wolfram conferences. Previously, Peter was Head of Data Science at Panjiva (listed as one of Fast Company’s most innovative data science companies in 2018 and sold to S&P Global). He holds a number of patents in machine learning and global trade. Peter completed his undergraduate and graduate education at Yale, MIT, and the Federal Polytechnic of Lausanne (EPFL), with a focus on engineering, statistical methods, and global trade. He has high-level proficiency in both French and Chinese.Peter is motivated by the automated generation of explainable and reliable insight and decision support across global scale datasets to facilitate public and private sector operation in a turbulent world. He has deep expertise in data processing and artificial-intelligence/machine-learning (AI/ML) systems. The focus of his work is large scale hybrid AI/ML systems that generate insight across billions of records using both classic machine learning, deep learning, and modern generative AI. He also has experience in knowledge graphs, network analysis, natural language processing (NLP), and explainable AI.