This post examines the Moltbook moment: what it is, why it matters, and the security lessons it offers for anyone thinking about deploying AI agents.
All in Leadership
This post examines the Moltbook moment: what it is, why it matters, and the security lessons it offers for anyone thinking about deploying AI agents.
I share my five predictions for how AI in the SOC will evolve in 2026, focusing on the shift from shiny new tool to accountable teammate that requires real governance.
A look at how practical, purpose-driven AI is quietly changing lives around the world.
A review of the AI research article that has everyone talking
A tutorial tailored for kids. teens and beginners to explore the basics of prompt engineering in an engaging, hands-on way
Sharing a new study I contributed to on the outlook for women in data, analytics, and AI, along with my thoughts on why expanding the talent pipeline is crucial for building a more inclusive future in these fields.
Discussing why AI governance is more than just an extension of data governance and how we can use lessons learned from past data management challenges to navigate the future of AI more reasonably.
Data Mishaps Night is a night where we embrace the messiness of data work. Whether you're a seasoned data practitioner or just starting out, there's something for everyone.
Exploring the new AI term LAMs (Large Action Models). What it means and how it relates to LLMs and AI agents.
A brief review of the book “Chart Spark” by Alli Torban
A brief review of the book “Prediction Machines” by Ajay Agrawal, Joshua Gans and Avi Goldfarb
Sharing my love letter to data which I penned as part of the Pythian “Love Letters to Data” series.
Read through your most complicated SQL files to learn the humans story of how your organization functions.
An overview of my Chief Data Officer certificate experience at Carnegie Mellon.
Discussing the book “Big Data Girl” by Fred Wordie and Santiago Taberna and how to use it to raise Big Data awareness in a classroom setting.
A list of 10 kid-friendly datasets to explore with for your next stem data project!