Patrick DoughertyBuilding AI Agents: Lessons Learned over the past YearBuilding AI Agents over the past year has been a roller coaster… Here’s a little overview of what I’ve learned so far.12 min read·Jun 3, 2024--12--12
Patrick Doughertycentralized data science is a road to nowhereInspired by “strong opinions, loosely held”, here’s a strong opinion.3 min read·Dec 2, 2022----
Patrick Dougherty4 Predictions about Data for 20222021 was a banner year for venture capital investments in the world of data, especially around key areas of ML Ops and the Modern Data…3 min read·Jan 4, 2022--3--3
Patrick DoughertyinSlalom InsightsHow and Why to Use Agile for Machine LearningOur clients frequently ask how to apply structure to their data science and machine learning initiatives to avoid taking up permanent…5 min read·May 16, 2019----
Patrick Doughertylet’s define some data buzzwordsMarketing departments thrive on ambiguity, and there has been no shortage of it in the new world of data science. The buzzwords keep…2 min read·Dec 15, 2015--1--1
Patrick Doughertywhy data scientist is an endangered job titleThe best way to plan for the future is to closely monitor the companies that are helping create it. That’s what I was thinking when I…2 min read·Nov 9, 2015----
Patrick Doughertyhow predictable is twitter?I love Twitter. To me, a well curated Twitter timeline is the best way to navigate and consume the crazy amount of digital content produced…3 min read·Oct 19, 2015----
Patrick Doughertyhow to ask data questions / is it good to be wrong?I’m wrong all the time. I’m constantly guessing when I shouldn’t be and then finding out (sometimes immediately) that I’m wrong.3 min read·Oct 6, 2015----
Patrick Doughertylogistic regression in digital marketingA/B testing is riding a wave of popularity that probably won’t break for quite a while. Job listings are plentiful, and interest has never…2 min read·Sep 29, 2015--1--1