Roger & DJ — The Rise of Big Data and CA's COVID-19 Response

Roger & DJ — The Rise of Big Data and CA's COVID-19 Response

Author: Lukas Biewald July 8, 2021 Duration: 1:04:53
Roger and DJ share some of the history behind data science as we know it today, and reflect on their experiences working on California's COVID-19 response. --- Roger Magoulas is Senior Director of Data Strategy at Astronomer, where he works on data infrastructure, analytics, and community development. Previously, he was VP of Research at O'Reilly and co-chair of O'Reilly's Strata Data and AI Conference. DJ Patil is a board member and former CTO of Devoted Health, a healthcare company for seniors. He was also Chief Data Scientist under the Obama administration and the Head of Data Science at LinkedIn. Roger and DJ recently volunteered for the California COVID-19 response, and worked with data to understand case counts, bed capacities and the impact of intervention. Connect with Roger and DJ: 📍 Roger's Twitter: https://twitter.com/rogerm 📍 DJ's Twitter: https://twitter.com/dpatil --- 🌟 Transcript: http://wandb.me/gd-roger-and-dj 🌟 ⏳ Timestamps: 0:00 Sneak peek, intro 1:03 Coining the terms "big data" and "data scientist" 7:12 The rise of data science teams 15:28 Big Data, Hadoop, and Spark 23:10 The importance of using the right tools 29:20 BLUF: Bottom Line Up Front 34:44 California's COVID response 41:21 The human aspects of responding to COVID 48:33 Reflecting on the impact of COVID interventions 57:06 Advice on doing meaningful data science work 1:04:18 Outro 🍀 Links: 1. "MapReduce: Simplified Data Processing on Large Clusters" (Dean and Ghemawat, 2004): https://research.google/pubs/pub62/ 2. "Big Data: Technologies and Techniques for Large-Scale Data" (Magoulas and Lorica, 2009): https://academics.uccs.edu/~ooluwada/courses/datamining/ExtraReading/BigData 3. The O'RLY book covers: https://www.businessinsider.com/these-hilarious-memes-perfectly-capture-what-its-like-to-work-in-tech-2016-4 4. "The Premonition" (Lewis, 2021): https://www.npr.org/2021/05/03/991570372/michael-lewis-the-premonition-is-a-sweeping-indictment-of-the-cdc 5. Why California's beaches are glowing with bioluminescence: https://www.youtube.com/watch?v=AVYSr19ReOs 6. 7. Sturgis Motorcyle Rally: https://en.wikipedia.org/wiki/Sturgis_Motorcycle_Rally --- Get our podcast on these platforms: 👉 Apple Podcasts: http://wandb.me/apple-podcasts​​ 👉 Spotify: http://wandb.me/spotify​ 👉 Google Podcasts: http://wandb.me/google-podcasts​​ 👉 YouTube: http://wandb.me/youtube​​ 👉 Soundcloud: http://wandb.me/soundcloud​ Join our community of ML practitioners where we host AMAs, share interesting projects and meet other people working in Deep Learning: http://wandb.me/slack​​ Check out Fully Connected, which features curated machine learning reports by researchers exploring deep learning techniques, Kagglers showcasing winning models, industry leaders sharing best practices, and more: https://wandb.ai/fully-connected

Lukas Biewald hosts Gradient Dissent: Conversations on AI, a series that moves beyond theoretical discussions to examine how artificial intelligence is actually built and deployed. Each episode features a direct, unscripted talk with a leading practitioner-you’ll hear from engineers and researchers at places like NVIDIA, Meta, Google, Lyft, and OpenAI. The focus is on the tangible challenges and breakthroughs they encounter, from initial research to the complex reality of putting models into production. This isn't about abstract futures; it's a grounded look at the decisions shaping the field right now. Biewald, bringing his perspective from Weights & Biases, steers conversations toward the practical trade-offs and collaborative efforts that define modern AI work. For anyone in technology or business who wants to understand the mechanics behind the headlines, this podcast offers a rare, candid window into the process. You’ll come away with a clearer sense of how ideas become functional systems and what it really takes to operate at the cutting edge.
Author: Language: English Episodes: 100

Gradient Dissent: Conversations on AI
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