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Patrick Wendell

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Co-founder and VP of Engineering Databricks

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Patrick Wendell, Co-founder and VP of Engineering on Building Production-Quality AI Systems

Speakers: Patrick Wendell, Co-founder and VP of Engineering, Databricks Kasey Uhlenhuth, Staff Product Manager, Databricks

At the Data and AI Summit, we announced several new capabilities that make Databricks Mosaic AI the best platform for building production-quality AI systems. These features are based on our experience working with thousands of companies to put AI-powered applications into production. Announcements include support for fine-tuning foundation models, an enterprise catalog for AI tools, a new SDK for building, deploying, and evaluating AI Agents, and a unified AI gateway for governing deployed AI services.

Sessions from Data + AI Summit are available on-demand at https://www.databricks.com/dataaisummit

Data + AI Summit Keynote Wednesday
video
with Larry Feinsmith (JP Morgan Chase) , Kasey Uhlenhuth (Databricks) , Zaheera Valani (Databricks) , Wassym Bensaid (Rivian) , Satya Nadella (Microsoft) , Weston Hutchins (Databricks) , Ali Ghodsi (Databricks) , Reynold Xin (Databricks) , Sai Pradhan Ravuru (Jetblue) , Matei Zaharia (Databricks) , Caryl Yuhas (Databricks) , Patrick Wendell (Databricks) , Naveen Rao (Databricks)

0:00 Opener 01:18- Ali Ghodsi, Databricks 06:53 - Satya Nadella, Microsoft 15:50 Ali Ghodsi, Databricks 20:40 Larry Feinsmith, JP Morgan Chase 41:09 Ali Ghodsi, Databricks 45:07 Matei Zaharia, Databricks 52:31 Weston Hutchins, Databricks 58:36 Ali Ghodsi, Databricks 1:02:05 Naveen Rao, MosaicML 1:12:15 Patrick Wendell, Databricks 1:27:57 Kasey Uhlenhuth, Databricks 1:39:18 Sai Pradhan Ravuru, Jetblue 01:47 Ali Ghodsi, Databricks 1:49:20 Reynold Xin, Databricks 2:05:07 Ali Ghodsi, Databricks 2:09:26 Matei Zaharia, Databricks 2:17:24 Caryl Yuhas, Databricks 2:24:12 Zaheera Valani, Databricks 2:39:55 Wassym Bensaid, Rivian

OpeningProduction Machine Learning | Patrick WendellMLflow 2.0 | Kasey Uhlenhuth

Opening Production Machine Learning | Patrick Wendell MLflow 2.0 | Kasey Uhlenhuth | Keynotes Data + AI Summit 2022

Connect with us: Website: https://databricks.com Facebook: https://www.facebook.com/databricksinc Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/data... Instagram: https://www.instagram.com/databricksinc/

Day 2 Morning Keynote |  Data + AI Summit 2022

Day 2 Morning Keynote | Data + AI Summit 2022 Production Machine Learning | Patrick Wendell MLflow 2.0 | Kasey Uhlenhuth Revolutionizing agriculture with AI: Delivering smart industrial solutions built upon a Lakehouse architecture | Ganesh Jayaram Intuit’s Data Journey to the Lakehouse: Developing Smart, Personalized Financial Products for 100M+ Consumers & Small Businesses | Alon Amit and Manish Amde Workflows | Stacy Kerkela Delta Live Tables | Michael Armbrust AI and creativity, and building data products where there's no quantitative metric for success, such as in games, or web-scale search, or content discovery | Hilary Mason What to Know about Data Science and Machine Learning in 2022 | Peter Norvig Data-centric AI development: From Big Data to Good Data | Andrew Ng

Connect with us: Website: https://databricks.com Facebook: https://www.facebook.com/databricksinc Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/data... Instagram: https://www.instagram.com/databricksinc/

Learning Spark

Data in all domains is getting bigger. How can you work with it efficiently? Recently updated for Spark 1.3, this book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. With Spark, you can tackle big datasets quickly through simple APIs in Python, Java, and Scala. This edition includes new information on Spark SQL, Spark Streaming, setup, and Maven coordinates.