INDUSTRY EXPERIENCE

Financial Services

Dive into the data and AI–driven innovations that are shaping the future of the Financial Services industry.

SAN FRANCISCO
June 11–13

EXPERIENCEIN PERSON
TYPEINDUSTRY EXPERIENCE
TRACKGENERATIVE AI, DATA SECURITY AND GOVERNANCE, RISK MANAGEMENT
DURATIONTHREE DAYS

Industry data leaders and innovators will share insights on:
 

+ Discovering the Data Intelligence Platform

Take a look at the larger landscape that the lakehouse lives in and learn how to leverage your generative AI
 

+ Data and AI Landscape

Discover what’s driving so much focus on data security and governance — and why data professionals are zeroing in on new ways to tackle their database challenges
 

+ Learn the How

From strategic insights to demos to lessons learned — we’ll share a blueprint on how to scale

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Featured Speakers

Join leading experts, researchers and open source contributors — from Databricks, across the data and AI community, and the Financial Services industry — who will speak at Data + AI Summit.

Andy Kofoid

Andy
Kofoid

/

President, Global Field Operations,

Databricks

Ali Ghodsi

Ali
Ghodsi

/

Co-founder and CEO,

Databricks

Arsalan Tavakoli

Arsalan
Tavakoli

/

Co-founder and SVP, Field Engineering,

Databricks

Matei Zaharia

Matei
Zaharia

/

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

Databricks

Zaheera Valani

Zaheera
Valani

/

Senior Director of Engineering,

Databricks

Naveen Rao

Naveen
Rao

/

Vice President, Generative AI, Databricks; Former CEO and Founder,

MosaicML

Reynold Xin

Reynold
Xin

/

Co-founder and Chief Architect,

Databricks

Junta Nakai

Junta
Nakai

/

Global Industry GTM Leader, Financial Services,

Databricks

Brian Stack

Brian
Stack

/

Vice President, Engineering and Dark Web Intelligence,

Experian

James Lin

James
Lin

/

Head of AI/ML Innovation,

Experian

Jonathan Frankle

Jonathan
Frankle

/

Chief Scientist — Neural Networks,

Databricks

Topics

Join thousands of data leaders, engineers, scientists and architects to explore the convergence of data and AI in the Financial Services industry. We’ll unpack the latest trends, covering everything from data warehousing and governance to the latest in generative AI.

Frontiers of data and AI

GENERATIVE AI

Generative AI has taken every industry by storm. In a recent survey with MIT Technology Review, we discovered that 88% of executives are investing in generative AI. Learn how you can get started on GenAI use cases from fellow industry leaders and Databricks data and AI experts.

Foundations of trust

DATA SECURITY AND GOVERNANCE

How organizations secure and leverage data impacts AI implementation outcomes. You can’t have AI without high-quality data, and you can’t have high-quality data without data governance. Learn how to unify governance for all your data and AI initiatives.

FASTER TIME TO INSIGHT

DATA WAREHOUSING

The Databricks Platform simplifies data architecture and centralizes data with complete end-to-end data warehouse capabilities. Learn how you can achieve cost savings and speed up the time to turn raw data into actionable insights at scale.

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MAXIMIZE YOUR SUMMIT

Data + AI Summit is the global event for the data community, where practitioners, leaders and visionaries across the Financial Services industry come together to shape the future of data, analytics and AI. Get ready for keynotes by industry visionaries, technical sessions, hands-on training and networking opportunities.

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Forums

Learn from the most innovative data leaders in Financial Services with keynotes and panel discussions.

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    Network with other data and AI leaders and practitioners

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    Gain insights on the latest innovations in the Financial Services industry

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    Takeaway best practices from thought leaders who have already successfully achieved business outcomes with data, analytics and AI

Forums

Sessions

Explore the catalog of breakouts, deep dives, lightning talks and paid training now.

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Data Strategy and Lakehouse Implementation40 min

A Lean Data Factory: The Power of a Data Intelligence Platform

Matt Ryan/

Kythera Labs

Josue Bogran Micher/

Kythera Labs

Data Science and Machine Learning40 min

A PyTorch Approach to ML Infrastructure

Rohin Bhasin/

Runhouse

Caroline Chen/

Runhouse

Data Science and Machine Learning40 min

Accelerating LLM Inference with vLLM

Antoni Baum/

Anyscale

Zhuohan Li/

UC Berkely

Peter Landis/

Northwestern Mutual

Gen Li/

Northwestern Mutual

Data Engineering and Streaming20 min

All About Python Dependency Management in PySpark

Haejoon Lee/

Databricks

Takuya Ueshin/

Databricks

Data Science and Machine Learning40 min

Applying ML and AI to Enhance Dealer Business Systems Data

MAYUR DILIPRAO JAGTAP/

Deere & Company

Meghraj Ramchandra Lodhe/

John Deere India Pvt.Ltd

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