Peter Swartz is co-founder and Chief Science Officer at Altana AI, where he leads the application of modern AI to supply chain and border management. Altana's mission is to power a new era of globalization defined by Trusted Networks, which span and connect governments, businesses, and civil society to shape a more resilient, secure, efficient, and fair world. Altana serves the UK, US, and Australian governments in national security, customs, and law enforcement applications, and has worked with a number of additional governments on revenue assurance and risk management.
Peter has spoken on global trade, supply chains, and machine learning at the World Trade Organization, the World Customs Organization, the US Court of International Trade, the National Academies of Medicine, the Intelligence and National Security Alliance, and the Wolfram and O’Reilly 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). Peter completed his undergraduate and graduate education at Yale, MIT, and EPFL, with a focus on engineering, statistical methods, and global trade. He holds a number of patents in machine learning and global trade and has high-level proficiency in both French and Chinese.
13-Sep-2023Strategic Command & Keynote ForumMitigating supply chain risk: a case study in leveraging trusted networks and machine learning to unmask Russian front companies