His published work includes Understanding Patterns of Disruption: Lessons Learned from the Cloud, Machine Learning, and More; Business Models for the Data Economy; Parallel R: Data Analysis in the Distributed World; and Bad Data Handbook: Mapping the World of Data Problems. He occasionally shares articles on O’Reilly Radar.
His research interests fall into two main categories:
- The intersection of ML/AI and business models (data monetization, human/AI interaction, AI-based automation)
- The application of financial concepts (such as risk, N-sided marketplaces, and asset bubbles) to other domains