news

The posts here mostly cover the intersection of ML/AI and risk. I also share certain updates and links to articles I've published elsewhere.

Note: you'll find additional reading material in my web3 newsletter Block & Mortar and my O'Reilly Radar author page.

Please note the disclaimer before reading any materials here.


2023

When good metrics are bad (2023/02/16) - Some metrics are good, some are bad. But even the good ones can be bad if you're not careful.


2022

Risk Bingo Cards (2022/03/21) - Adopt a popular expression to improve your risk awareness and assessment.

No Silver Bullets (2022/03/14) - Sometimes, you have to tackle a challenge head-on.


2021

When "Constants" ... Aren't (2021/09/20) - Want to improve your risk assessment? Identify, then question, the constants in your world.

The Lemonade Lesson (2021/05/31) - Lemonade's recent media spotlight is a cautionary tale for any company using ML/AI.


2020

The ML/AI Reality Check (2020/04/14) - COVID-19 may be what gets companies to take their ML/AI efforts seriously.


2019


2018


2016


2015

Roles on Your Analytics Team (2015/02/10) - Data science is all the rage, but some companies focus on hiring just data scientists. Be careful.


2014


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2012


2011


2010


2009


2008


2007


2006


2005