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Submission: On June 05 via api from US — Scanned from DE
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This site works best with JavaScript enabled. Homepage SAN FRANCISCO, JUNE 26-29 VIRTUAL, JUNE 28-29 * Sessions * Overview * Why Attend * Training Register Now Sessions Training Speakers Event Archive Why Attend Special Events Sponsors Agenda Virtual Experience Pricing GENERATION AI Join the premier event for the global data community to learn about LLMs, lakehouse and all the latest innovations in data and AI. Register Now San Francisco, Moscone Center June 26–29, 2023 Countdown to Summit 20 Days 12 Hours 38 Minutes 48 Seconds FEATURED SPEAKERS Top experts, researchers and open source contributors from Databricks and across the data and AI community will speak at Data + AI Summit. Whether you’re an engineering wizard, ML pro, SQL expert — or you want to learn how to build, train and deploy LLMs — you’ll be in good company. See all speakers Michael Carbin Co-founder, MosaicML; Professor of EECS, MIT Kasey Uhlenhuth Staff Product Manager, Databricks Wassym Bensaid Sr. Vice President, Software Development, Rivian Eric Schmidt Co-Founder, Schmidt Futures; Former CEO and Chairman, Google Patrick Wendell Co–founder and VP of Engineering, Databricks Larry Feinsmith Head of Global Tech Strategy, Innovation and Partnerships, JP Morgan Chase & Co. Adi Polak Data & AI Technologist, lakeFS Ali Ghodsi Co-founder and CEO, Databricks Manu Sharma CEO, Labelbox Matei Zaharia Original Creator of Apache Spark™ and MLflow; Chief Technologist, Databricks Lin Qiao Former Head of PyTorch, Co-founder and CEO, Fireworks Sai Ravuru Senior Manager of Data Science & Analytics, JetBlue Harrison Chase Creator of LangChain Satya Nadella Chairman and CEO, Microsoft, Live Virtual Guest Zaheera Valani Senior Director of Engineering, Databricks Hannes Mühleisen Creator of DuckDB Brooke Wenig Machine Learning Practice Lead, Databricks Jitendra Malik Computer Vision Pioneer, Former Head of Facebook AI Research Robin Sutara Field CTO, Databricks Lior Gavish CEO and Co-founder, Monte Carlo Data Dawn Song Professor of EECS, UC Berkeley Reynold Xin Co-founder and Chief Architect, Databricks Daniela Rus Director, MIT CSAIL; Professor of EECS, MIT Percy Liang Professor of Computer Science, Stanford Nat Friedman Creator of Copilot; Former CEO, GitHub Michael Carbin Co-founder, MosaicML; Professor of EECS, MIT Kasey Uhlenhuth Staff Product Manager, Databricks Wassym Bensaid Sr. Vice President, Software Development, Rivian Eric Schmidt Co-Founder, Schmidt Futures; Former CEO and Chairman, Google Patrick Wendell Co–founder and VP of Engineering, Databricks Larry Feinsmith Head of Global Tech Strategy, Innovation and Partnerships, JP Morgan Chase & Co. Adi Polak Data & AI Technologist, lakeFS Ali Ghodsi Co-founder and CEO, Databricks Manu Sharma CEO, Labelbox Matei Zaharia Original Creator of Apache Spark™ and MLflow; Chief Technologist, Databricks Lin Qiao Former Head of PyTorch, Co-founder and CEO, Fireworks Sai Ravuru Senior Manager of Data Science & Analytics, JetBlue Harrison Chase Creator of LangChain Satya Nadella Chairman and CEO, Microsoft, Live Virtual Guest Zaheera Valani Senior Director of Engineering, Databricks Hannes Mühleisen Creator of DuckDB Brooke Wenig Machine Learning Practice Lead, Databricks Jitendra Malik Computer Vision Pioneer, Former Head of Facebook AI Research Robin Sutara Field CTO, Databricks Lior Gavish CEO and Co-founder, Monte Carlo Data Dawn Song Professor of EECS, UC Berkeley Reynold Xin Co-founder and Chief Architect, Databricks Daniela Rus Director, MIT CSAIL; Professor of EECS, MIT Percy Liang Professor of Computer Science, Stanford Nat Friedman Creator of Copilot; Former CEO, GitHub Michael Carbin Co-founder, MosaicML; Professor of EECS, MIT Kasey Uhlenhuth Staff Product Manager, Databricks Wassym Bensaid Sr. Vice President, Software Development, Rivian Eric Schmidt Co-Founder, Schmidt Futures; Former CEO and Chairman, Google Patrick Wendell Co–founder and VP of Engineering, Databricks Larry Feinsmith Head of Global Tech Strategy, Innovation and Partnerships, JP Morgan Chase & Co. WHY ATTEND? Join thousands of data engineers, scientists, analysts and leaders to explore all things data, analytics and AI — and their unification on the lakehouse. Hear from the data teams who are transforming their industries. Learn how to build and apply LLMs to your business. Uplevel your skills with hands-on training and role-based certifications. Connect with data professionals from around the world and learn more about all Data + AI Summit has to offer. TECHNOLOGY Hear about the latest open source technologies, real-world case studies and best practices that deliver mission-critical data, analytics and AI inside transformative organizations. Explore the latest advancements in: LLMs — from immersive in-person trainings to focused sessions on LLM tooling and responsible use that cover best practices and how-tos using LLMs on Databricks Databricks Lakehouse Platform — explore the latest advancements and get a sneak peek at upcoming products and features that will simplify and accelerate the way you work with data Open source projects and industry-leading technologies that are shaping the future of data and AI. From Apache Spark™ and Delta Lake to MLflow, PyTorch, dbt, Presto/Trino, DuckDB and beyond, immerse yourself in a vast ecosystem of cutting-edge tools and frameworks Explore sessions SESSIONS With more than 250 sessions, Data + AI Summit has something for everyone. Choose from technical deep dives, hands-on training, lightning talks and more. Dive into topics like: AI/ML — learn how to accelerate your path to production with fully governed AI while reducing risk and platform complexity, increasing productivity and maximizing ROI of ML workloads Data warehousing on the lakehouse — how to optimize performance and more effectively support stakeholders in making informed and timely decisions Data engineering and streaming — Get the latest on Delta Lake — unlock the power of data engineering and streaming on the lakehouse as you discover innovations, best practices and how-tos, immersing yourself in a world of simplicity, unification and limitless possibilities Explore sessions CONNECTION Experience why over 50,000 data professionals have joined the Data + AI Summit experience. Learn from like-minded data pros Grow your professional network — meet with thousands of data + AI community peers Join a meetup to learn more about open source technologies alongside your peers or connect on the Expo floor Remember the fun — celebrate with your peers at the Data + AI Summit party at Chase Center Learn more DATA + AI SUMMIT EXPERIENCE RECOMMENDED Activities In-Person Event Virtual Event Keynotes Breakout Sessions 300+ 10 Hands-on Training Courses for Data Engineering, Machine Learning, LLMs, and many onsite certifications Connect with other data pros at “birds of a feather” meals, happy hours and special events Lightning talks, AMAs and meetups on topics such as Apache Spark™, Delta Lake, MLflow and Dolly Access to 100+ leading data and AI companies in Dev Hub + Expo Industry Forums for Financial Services, Retail and Consumer Goods, Healthcare and Life Sciences, Communications, Media and Entertainment, Public Sector, and Manufacturing and Energy See pricing COMPANIES IN ATTENDANCE LAST YEAR Join your peers from industry-leading data companies. See agenda Don’t miss this year’s event! Register now Organized By * Sessions * Speakers * Event Archive * Agenda * Pricing * Virtual Experience * Sponsors * FAQ * Why Attend * Special Events * Training * Event Policy * Code of Conduct * Privacy Notice * Your Privacy Choices * Your California Privacy Rights * Apache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event. WE CARE ABOUT YOUR PRIVACY By clicking “Accept All Cookies”, you agree to the storing of cookies on your device to enhance site navigation, analyze site usage, and assist in our marketing efforts. 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