Pat Woowong's guest appearances

Pat Woowong

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Data Science Salon Podcast

Meredith Broussard

Ilias Diakonikolas

Scott Clark

Celeste Kidd

Dennis Mortensen

Rob Walker

Sanmi Koyejo

Chelsea Finn

Dario Amodei

Jianxiong Xiao

Kate Darling

Jason Holmberg

Lotte Bransen

Christopher Berner

David Spiegelhalter

OwlTail

LEAD

When people think about The Home Depot, they probably think more about lumberand tile than they do ML models.  Sure, there is plenty of lumber.  But machine learning also plays a key role in the business, in places that customers can see as well as the behind-the-scenes operations.Senior Content Advisor Q McCallum met up with Pat Woowong, Director of Data Science at The Home Depot, to explore how the company mixes their very rich dataset with domain knowledge to employ machine learning deep inside the business.  To frame this, he walked me through the Falloff model and Lead scoring, two projects that his team deployed to address the unique challenges of a company that handles both retail and services.During our conversation, we discussed: understanding where models fit into the bigger business picture; using expert domain knowledge to drive feature selection and feature engineering; the value of process; and, to top it off, what it's like to work at The Home Depot.Other places to find Pat:LinkedIn: https://www.linkedin.com/in/patwoowong/"How THD keeps shelves stocked using ML" (the talk he mentioned during our interview): https://twimlai.com/podcast/twimlai/how-ml-keeps-shelves-stocked-home-depot-pat-woowong/"The Value Proposition for Using ML in Brick-and-Mortar Retail Stores: Home Depot" https://www.youtube.com/watch?v=rF8jtdX-hGoBe part of the conversation and connect with the data science community at DSS Miami Hybrid on September 21, 2022.Book your ticket now.

When people think about The Home Depot, they probably think more about lumber and tile than they do ML models.  Sure, there is plenty of lumber.  But machine learning also plays a key role in the business, in places that customers can see as well as the behind-the-scenes operations.Senior Content Advisor <a href="https://www.qethanm.cc/" rel="nofollow" target="_blank">Q McCallum</a> met up with <a href="https://www.linkedin.com/in/patwoowong/" rel="nofollow" target="_blank">Pat Woowong</a>, Director of Data Science at The Home Depot, to explore how the company mixes their very rich dataset with domain knowledge to employ machine learning deep inside the business.  To frame this, he walked me through the Falloff model and Lead scoring, two projects that his team deployed to address the unique challenges of a company that handles both retail and services.During our conversation, we discussed: understanding where models fit into the bigger business picture; using expert domain knowledge to drive feature selection and feature engineering; the value of process; and, to top it off, what it's like to work at The Home Depot.Other places to find Pat:<ul><li>LinkedIn: <a href="https://www.linkedin.com/in/patwoowong/" rel="nofollow" target="_blank">https://www.linkedin.com/in/patwoowong/</a></li><li>"How THD keeps shelves stocked using ML" (the talk he mentioned during our interview): <a href="https://twimlai.com/podcast/twimlai/how-ml-keeps-shelves-stocked-home-depot-pat-woowong/" rel="nofollow" target="_blank">https://twimlai.com/podcast/twimlai/how-ml-keeps-shelves-stocked-home-depot-pat-woowong/</a></li><li>"The Value Proposition for Using ML in Brick-and-Mortar Retail Stores: Home Depot" <a href="https://www.youtube.com/watch?v=rF8jtdX-hGo" rel="nofollow" target="_blank">https://www.youtube.com/watch?v=rF8jtdX-hGo</a></li></ul>Be part of the conversation and connect with the data science community at<a href="https://www.datascience.salon/miami/" rel="nofollow" target="_blank"> DSS Miami Hybrid </a>on September 21, 2022.<a href="https://www.datascience.salon/miami/register/" rel="nofollow" target="_blank">Book your ticket now.</a>

ML at The Home Depot with Pat Woowong: The Falloff Model and Lead Scoring

Today we’re joined by Pat Woowong, principal engineer in the applied machine intelligence group at The Home Depot. We discuss a project that Pat recently presented at the Google Cloud Next conference which used machine learning to predict shelf-out scenarios within stores. We dig into the motivation for this system and how the team went about building it, their use of kubernetes to support future growth in the platform, and much more. For complete show notes, visit https://twimlai.com/talk/175.

Today we’re joined by Pat Woowong, principal engineer in the applied machine intelligence group at The Home Depot. We discuss a project that Pat recently presented at the Google Cloud Next conference which used machine learning to predict shelf-out scenarios within stores. We dig into the motivation for this system and how the team went about building it, their use of kubernetes to support future growth in the platform, and much more. For complete show notes, visit <a href="https://twimlai.com/talk/175" rel="nofollow" target="_blank">https://twimlai.com/talk/175</a>.

How ML Keeps Shelves Stocked at Home Depot with Pat Woowong - TWiML Talk #175