A little background ...

I've provided a formal bio in the next section. For new visitors, here's the gist:

I'm Q McCallum. I'm a consultant, writer, and researcher. My work centers on applying emerging, disruptive technology to business use cases.

People mostly know me from my work in machine learning/artificial intelligence (ML/AI), including books, articles, and conference talks.

My technology work is shaped by my experience in the financial world, which has led me to study risk/complexity, N-sided marketplaces, and asset bubbles.

I periodically publish blog posts (on topics such as executive-level data literacy, building a data team, and AI risk management ). I've summarized some of those blog posts into one-pager guides like "Will AI Help Here?" and "How Do I Do AI?"

With all that I still manage to host a podcast where I interview people data scientists should know: their fellow practitioners, economists, data leaders, and the legal department.

If you've landed on this page you are likely looking for one of the following:


Q McCallum is a consultant, writer, and researcher. He's spent his career applying emerging and disruptive technology to business use cases. His consulting practice focuses on matters of strategy and risk management in 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 his website and publishes two newsletters: Complex Machinery on AI, risk, and related topics; and Block & Mortar 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 research interests include: