Q McCallum is a consultant, writer, and researcher. He’s spent his career applying emerging and disruptive technology to business use cases.

For more than a decade, his consulting practice has focused on strategic matters around machine learning and artificial intelligence (ML/AI).

Q’s 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 has also been featured on O’Reilly Radar.

He maintains a blog on AI and risk at https://qethanm.cc/news/, and publishes the weekly Block & Mortar newsletter on all things web3: blockchain, cryptocurrencies, NFTs, and metaverse.

His speaking engagements span industry conferences and private events. Q is also host of the Data Science Salon Podcast.

His current research interests include:

  • 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