HELLO, I'M
Doug Bryan
I’m a data science executive, evangelist, and business transformation consultant focused on ROI. I have experience as a SVP of data science products at a global ad agency, personalization product manager and tech lead at Amazon.com, ecommerce R&D manager at Accenture Labs, startup co-founder, and lecturer in computer science at Stanford University. My 25 years of data science experience covers hundreds of projects across many industries.
This lake photo is from one of my favorite places: Sylvania Wilderness in the Upper Peninsula of Michigan. I've been going there for more than 40 years to enjoy its 30 square miles with no road and 24 pristine lakes.
A few career highlights
Business value creation
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Led the Amazon.com product recommendations team that generated $2B in incremental revenue per year.
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Developed a 100% automatic, self-service machine learning modeling factory that used 8,000 input variables, reduced costs 88%, and reduced time-to-market 95%.
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Doubled digital marketing response rate increases for many brands using autoML.
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Designed and tested a real-time behavioral prediction system for a contact center that increased sales 400%.
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Used customer segmentation to increase search marketing conversion rates 46% and help move Merkle into a Forrester Wave leader category.
Innovation
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Recently wrote articles and white papers on data mesh, AI upskilling, and AI trust.
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Co-founded a startup that produced tens of thousands of machine learning models a day and a startup that provided data scientists with a two-sided marketplace for third-party data.
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Used autoML to reduce the time for root cause analysis of cell phone network problems by more than 90%.
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Developed an elaborate prototype to show executives the potential of hyper-personalization and infinite shelf space in ecommerce. Demonstrated it to clients worldwide.
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Collaborated with Discover Financial Services to develop a machine learning modeling factory that used 10,000 input variables, 10x more than their previous method.
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Developed and taught the first object-oriented design class at Stanford University.
Some blog articles
2024
How to generate a resilient data mesh ↗
To Increase AI ROI, Integrate and Collapse Processes ↗
Generative AI Is a Democratization Maker ↗
Operating model lifecycle loop ↗
More at my LinkedIn page
2023
An LLM maturity model ↗
The Economics of AI Use Cases ↗
Pick your AI bias + key points from US Presidential Order on AI ↗
Fail Fast Without All the Annoying Technical Debt ↗
Reduce Your Data Culture Debt With People Treble: Data Literacy, Citizen Data Science, and Data Mesh ↗
Data as a Product: How to Increase the Efficiency of Using Data and Become Data Driven ↗
Talks with books and decentralizing education ↗
In praise of tweenage books ↗
What shape is your data mesh? ↗
TikTok is a 1901 wind tunnel ↗
Want to accelerate AI use? Bring it to the people. ↗
Are Pre-Trained Models AI’s Object-Oriented Programming? ↗
Bot Experience Engineer Is the Sexiest Job of the Next 10 Years ↗
Who are long tail data scientists? ↗
Align Your Operating Model With Your AI Maturity ↗
Large Scale AI Upskilling: A Key Facet of the Future of Work ↗
2022
Reduce time to expertise with data ↗
Data’s invisible hand: How a few changes can create big value ↗
Is data mesh a tipping point? ↗
AI's productivity vs. adoption tradeoff (platform overfitting) ↗
AI for time travel? Well, almost ↗
AI readiness in National Security, written with Mark Elszy ↗
Crossing the chasm is scale free ↗
Crossing the talent chasm and the talent management macro trend ↗
A digital twin for product development, Bunge Loders Croklaan customer success story ↗
Platform build vs buy position paper ↗
How to make an AI talent factory ↗
AI in data wrangling ↗
How to Build More Efficient AI Practices ↗
Digital Twins and Their AI Use Cases ↗. A later version at CDO Magazine.
Thinking of Analytics as a Product ↗
Data Quality in the Age of AI: A User Story ↗
AI Cultural Change From First Principles ↗. Also on LinkedIn.
2021
Data is code, about data as a product and data meshes ↗
Scale AI by balancing speed, agility and governance ↗
See my CV for more.