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SAN FRANCISCO, JUNE 26-29
VIRTUAL, JUNE 28-29
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GENERATION AI

LAST CHANCE! Space is filling up fast - 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

4
Days
13
Hours
40
Minutes
19
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

Patrick Wendell

Co–founder and VP of Engineering, Databricks

Larry Feinsmith

Head of Global Tech Strategy, Innovation and Partnerships, JP Morgan Chase & Co.

Arsalan Tavakoli-Shiraji

Co-founder & SVP of Field Engineering, Databricks

Adi Polak

Data & AI Technologist, lakeFS

Eric Schmidt

Co-Founder, Schmidt Futures; Former CEO and Chairman, Google

Satya Nadella

Chairman and CEO, Microsoft, Live Virtual Guest

Lin Qiao

Former Head of PyTorch, Co-founder and CEO, Fireworks

Marc Andreessen

Co-founder and General Partner, Andreessen Horowitz

Matei Zaharia

Original Creator of Apache Spark™ and MLflow; Chief Technologist, Databricks

Harrison Chase

Creator of LangChain

Zaheera Valani

Senior Director of Engineering, Databricks

Ali Ghodsi

Co-founder and CEO, Databricks

Manu Sharma

CEO, Labelbox

Sai Ravuru

Senior Manager of Data Science & Analytics, JetBlue

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

Michael Carbin

Co-founder, MosaicML; Professor of EECS, MIT

Kasey Uhlenhuth

Staff Product Manager, Databricks

Wassym Bensaid

Sr. Vice President, Software Development, Rivian

Patrick Wendell

Co–founder and VP of Engineering, Databricks

Larry Feinsmith

Head of Global Tech Strategy, Innovation and Partnerships, JP Morgan Chase & Co.

Arsalan Tavakoli-Shiraji

Co-founder & SVP of Field Engineering, Databricks

Adi Polak

Data & AI Technologist, lakeFS

Eric Schmidt

Co-Founder, Schmidt Futures; Former CEO and Chairman, Google

Satya Nadella

Chairman and CEO, Microsoft, Live Virtual Guest

Lin Qiao

Former Head of PyTorch, Co-founder and CEO, Fireworks

Marc Andreessen

Co-founder and General Partner, Andreessen Horowitz

Matei Zaharia

Original Creator of Apache Spark™ and MLflow; Chief Technologist, Databricks

Harrison Chase

Creator of LangChain

Zaheera Valani

Senior Director of Engineering, Databricks

Ali Ghodsi

Co-founder and CEO, Databricks

Manu Sharma

CEO, Labelbox

Sai Ravuru

Senior Manager of Data Science & Analytics, JetBlue

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

Michael Carbin

Co-founder, MosaicML; Professor of EECS, MIT

Kasey Uhlenhuth

Staff Product Manager, Databricks

Wassym Bensaid

Sr. Vice President, Software Development, Rivian

Patrick Wendell

Co–founder and VP of Engineering, Databricks

Larry Feinsmith

Head of Global Tech Strategy, Innovation and Partnerships, JP Morgan Chase & Co.

Arsalan Tavakoli-Shiraji

Co-founder & SVP of Field Engineering, Databricks




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
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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.






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