This keynote panel, featuring Bryan Bischof, Head of AI at Hex, and Chris White, CTO at Prefect, will explore what it takes to launch AI-based products in the context of running a successful, non-AI startup. Hear in-the-trenches insights and hot takes from these two product leaders as they discuss how to create an AI strategy, how to (actually) move into production, and how to measure success. Conversation will be moderated by Brittany Walker, Principal at CRV.

Recorded live in San Francisco at the AI Engineer Summit 2023. See the full schedule of talks at https://ai.engineer/summit/schedule & join us at the AI Engineer World's Fair in 2024! Get your tickets today at https://ai.engineer/worlds-fair

Brittany Walker Brittany Walker is a principal at CRV, an early-stage venture capital firm known for leading investments in companies such as Airtable, Vercel, Cribl, and Postman, among others. She specializes in data infrastructure and AI/ML infrastructure, and works with the founders of promising early-stage startups including Doppler, Meilisearch, Impart Security, and Lokalise.

Chris White Chris White is a cofounder of Prefect, a data workflow orchestration and observability platform, for which he currently serves as the Chief Technology Officer. Chris began his journey into software while getting his PhD in Mathematics at the University of Texas at Austin, where he researched optimization guarantees for non-convex data-driven problems. In addition to his work at Prefect, Chris is an active angel investor in AI and developer tooling. Outside of tech Chris is also passionate about the ocean, literature, and is an avid runner.

Bryan Bischof Dr. Bryan Bischof leads AI at Hex, and is an adjunct professor in the Rutgers Masters of Business and Analytics program where he teaches Data Science. Previously, he was the Head of Data Science at Weights and Biases, and built the DS, ML, and Data Engineering teams. Before that he built ML products at Stitch Fix, Blue Bottle Coffee, and IBM. He recently co-authored the O’Reilly book Building Production Recommendation Systems. His data visualization work appeared in the popular book The Day it Finally Happens by Mike Pearl. His Ph.D. is in pure mathematics.

In this podcast Mike Tamir (@MikeTamir, Head of #DataScience) talked about building a data science AI team. He shared his AI project (FakerFact.org). He shared the lifecycle of an AI project and some things that leaders could keep in mind to help create a successful data science AI team. This podcast is great for leaders learning to build a strong AI workforce.

TIMELINE: 0:28 Micheal's journey. 2:36 Micheal's current role. 3:18 AI and businesses. 5:28 Parameters to consider for AI adoption. 9:30 When do businesses invest in ML resources. 13:20 Tips for candidates in vetting data companies. 16:05 What's the faker fact? 20:45 Getting started on an AI product design. 24:58 Achieving accuracy in data. 27:40 AI the newsmaker and AI the fact-checker. 33:56 Tips for hiring the right data leader for a business. 35:32 Creating a great data science team. 37:19 Challenges in forming a data science team. 39:00 In job training to achieve technological competence. 44:00 Ingredients of a good hire. 47:35 Micheal's secret to success. 50:55 Micheal's favorite reads. 54:20 Key takeaways.

Mike's Recommended Read: What Technology Wants by Kevin Kelly https://amzn.to/2MaNiuN Deep Learning by Ian Goodfellow and Yoshua Bengio and Aaron Courville http://www.deeplearningbook.org/

Podcast Link: https://futureofdata.org/building-data-science-ai-teams-by-miketamir-uberatg-futureofdata-podcast/

Mike's BIO: Mike serves as Head of Data Science at Uber ATG, UC Berkeley Data Science faculty, and head of Phronesis ML Labs. He has led teams of Data Scientists in the bay area as Chief Data Scientist for InterTrust and Takt, Director of Data Sciences for MetaScale/Sears, and CSO for Galvanize, where he founded the galvanizeU-UNH accredited Masters of Science in Data Science degree and oversaw the company's transformation from co-working space to Data Science organization. Mike's most recent passion in research has involved applying Machine Learning techniques to help combat fake news through the FakerFact.org project

About #Podcast:

FutureOfData podcast is a conversation starter to bring leaders, influencers and lead practitioners to discuss their journey to create the data-driven future.

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Keywords:

FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy