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.Jun 326Jun 326
Patrick Doughertycentralized data science is a road to nowhereInspired by “strong opinions, loosely held”, here’s a strong opinion.Dec 2, 2022Dec 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…Jan 4, 20223Jan 4, 20223
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…May 16, 2019May 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…Dec 15, 20151Dec 15, 20151
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…Nov 9, 2015Nov 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…Oct 19, 2015Oct 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.Oct 6, 2015Oct 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…Sep 29, 20151Sep 29, 20151
