Spark + AI Summit | Artificial Intelligence & Apache Spark Conference

Welcome to the largest data & machine learning conference in the world. It's a unique experience for developers, data engineers, data scientists, and decision-makers to collaborate at the intersection of data and ML. Attendees will learn about the latest advances in Apache Spark and ML technologies like TensorFlow, MLflow, PyTorch as well as real-world enterprise AI best practices.

SPARK + AI SUMMIT 2019 KEYNOTE SPEAKERS


David Patterson

Turing Award Winner
Pardee Professor of Computer Science Emeritus at the University of California at Berkeley


Matei Zaharia

Co-founder & Chief Technologist, Databricks
Original Creator of Apache Spark & MLflow



Caitlin Smallwood

VP of Data Science and Analytics,
Netflix



Timnit Gebru

Research Scientist,
Google Brain



Reynold Xin

Co-founder & Chief Architect, Databricks
Top Contributor & Original Creator of Apache Spark


Jitendra Malik

Pioneer in Vision and ML
Arthur J. Chick Professor of EECS
University of California at Berkeley
Director at Facebook AI Research



Jan Neumann

Senior Director,
Applied AI Research,
Comcast



Jim Forsythe

Senior Director, Product Analytics & Behavior Science,
Comcast



Ali Ghodsi

Co-founder & CEO,
Databricks
Original Creator of Apache Spark


Rohan Kumar

Corporate Vice President,
Azure Data,
Microsoft


Michael I. Jordan

Professor,
UC Berkeley


Anitha Vijayakumar

Technical Project Manager,
TensorFlow


Michael Armbrust

Principal Software Engineer,
Databricks


Brooke Wenig

Machine Learning Practice Lead,
Databricks


Aaron Davidson

Software Engineer, Databricks


Greg Buehrer

Distinguished Engineer, Chief Architect of Azure Machine Learning, Microsoft

THE WORLD'S LARGEST EVENT FOR THE APACHE SPARK COMMUNITY

SPARK + AI SUMMIT 2019

Data and AI need to be unified: the best AI applications require massive amounts of constantly updated training data to build state-of-the-art models. So far. Apache Spark is the only unified analytics engine that combines large-scale data processing with state-of-the-art machine learning and AI algorithms

The sessions and training at this conference will cover data engineering and data science content, along with best practices for productionizing AI: keeping training data fresh with stream processing, quality monitoring, testing, and serving models at massive scale. The conference will also include deep-dive sessions on popular software frameworks—e.g., TensorFlow, SciKit-Learn, Keras, PyTorch, DeepLearning4J, BigDL, and deep learning pipelines.

Combining Spark + AI topics, this conference is a unique “one-stop shop” for developers, data scientists, and tech executives seeking to apply the best tools in data and AI to build innovative products. Join more than 5,000 engineers, data scientists, AI experts, researchers, and business professionals for three days of in-depth learning and networking.

 

LEARN ABOUT:

  • What’s coming next in Apache Spark
  • Best Practices for Productionizing Machine Learning
  • Managing your Machine Learning Lifecycle with MLflow
  • Latest Deep Learning and Machine Learning Frameworks
  • Unified Analytics Platforms to combine Data and AI
  • Practical, real-world Artificial Intelligence Use Cases
  • Using Apache Spark at scale in a variety of applications
  • Structured Streaming and Continuous Applications

TRACKS – PERSONALIZE YOUR EXPERIENCE:

  • AI
  • Data Science
  • Deep Learning Techniques
  • Productionizing ML
  • Developer
  • Enterprise
  • Python & Advanced Analytics
  • Research
  • Technical Deep Dives
  • Apache Spark Use Cases & Ecosystem

Apache Spark is a powerful open-source processing engine built around speed, ease of use, and sophisticated analytics. Spark began at UC, Berkeley in 2009, and it is now developed at the vendor-independent Apache Software Foundation. Since its initial release, Spark has seen rapid adoption by enterprises across wide-ranging industries. Internet powerhouses such as Facebook, Hotels.com, Cisco, Microsoft, and Netflix have deployed Spark at massive scale, processing multiple petabytes of data on clusters of more than 8,000 nodes. Apache Spark has also become the largest open-source community in big data, with more than 1,000 contributors from over 250 organizations. Learn more

TRAINING & CERTIFICATION

ABOUT:

Spark + AI Summit 2019 begins on April 23, with several one-day training workshops, which will include both instruction and hands-on exercises. Apache Spark 2.X certification is also offered as an exam, with an optional half-day prep course. Training and certification are available as add-ons to the conference pass.

CERTIFICATION:

  • Half-day Prep course + Apache Spark 2.X Certification Exam
  • Apache Spark 2.X Certification Exam from Databricks

TRAINING:

  • Data Science with Apache Spark
  • Understand and Apply Deep Learning with Keras, TensorFlow & Apache Spark
  • Apache Spark Tuning and Best Practices
  • Apache Spark Programming + Delta
  • Machine Learning in Production: MLflow and Model Deployment
Learn More

Tickets

CONFERENCE PASS
YEAR END SPECIALAvailable until
Dec 31, 2018
EARLY BIRDAvailable until
Feb 9, 2019
STANDARDAvailable until
April 22, 2019
ON-SITEAvailable until
April 25, 2019
VIP AccessAccess to the VIP Lounge, keynotes, breakouts, lunch and events organized by Spark + AI Summit
$1,295
$1,495
$1,695
$1,795
ConferenceAccess to keynotes, breakouts, lunch and events organized by Spark + AI Summit
$795
$1,045
$1,395
$1,495
Alumni*Access to keynotes, breakouts, lunch and events organized by Spark + AI Summit *Code must be used for pricing after year end special pricing.
$795
$895
$1,245
$1,345
ADD ON: TRAINING OR CERTIFICATION

Training courses are sold separately. Training-only passes are not available, and no discounts can be applied.

Certification Exams

  • Half-day Prep course + Apache Spark Certification Exam
$450
$450
$450
$450
  • Apache Spark Certification Exam – Wednesday
  • Apache Spark Certification Exam – Thursday
$250
$250
$250
$250
CONFERENCE PASS
VIP AccessAccess to the VIP Lounge, keynotes, breakouts, lunch and events organized by Spark + AI Summit
YEAR ENDUntil Dec 31
$1,295
EARLY BIRDUntil Feb 9
$1,495
STANDARDUntil April 22
$1,695
ON-SITEDuring event
$1,795
ConferenceAccess to keynotes, breakouts, lunch and events organized by Spark + AI Summit
YEAR ENDUntil Dec 31
$795
EARLY BIRDUntil Feb 9
$1,045
STANDARDUntil April 22
$1,395
ON-SITEDuring event
$1,495
Alumni*Access to keynotes, breakouts, lunch and events organized by Spark + AI Summit *Code must be used for pricing after year end special pricing.
YEAR ENDUntil Dec 31
$795
EARLY BIRDUntil Feb 9
$895
STANDARDUntil April 22
$1,245
ON-SITEDuring event
$1,345
ADD ON: TRAINING OR CERTIFICATION

Training courses are sold separately. Training-only passes are not available, and no discounts can be applied.

Certification Exams

  • Half-day Prep course + Apache Spark Certification Exam
YEAR END SPECIALUntil Dec 31
$450
EARLY BIRDUntil Feb 9
$450
STANDARDUntil April 22
$450
ON-SITEDuring event
$450
  • Apache Spark Certification Exam – Wednesday
  • Apache Spark Certification Exam – Thursday
YEAR END SPECIALUntil Dec 31
$250
EARLY BIRDUntil Feb 9
$250
STANDARDUntil April 22
$250
ON-SITEDuring event
$250

VENUE

MOSCONE WEST CONVENTION CENTER

Conveniently located in the South of Market area, Moscone West provides easy access to downtown San Francisco’s many hotels and restaurants — providing opportunity to enjoy the city after the sessions close. Take advantage of easy transportation via BART, MUNI and CalTrain.

LEARN MORE + SEE HOTEL AND AIRFARE, CAR RENTAL DEALS

WHY SPARK + AI SUMMIT?

REASONS TO ATTEND FOR:

Apache Spark Developers
Data Scientists
AI and Deep Learning Developers
Infrastructure / Site Reliability Engineers
Key Decision Makers
Business Executives
Researchers

  • Learn about the latest deep-learning frameworks and Apache Spark integration
  • Stay abreast with best practices for productionizing and managing machine learning models’ lifecycles
  • Find out what lies ahead for the open-source Apache Spark project
  • Learn how to improve performance and memory optimization from Spark committers
  • Learn how to leverage Structured Streaming in your ETL and real-time analytics
  • Get tips and tools for processing big data more quickly and efficiently, from leading data scientists and researchers

REASONS TO ATTEND FOR:

Data Practitioners
Key Decision Makers
Business Executives

  • Learn how leading companies deploy Apache Spark successfully at scale
  • Find out how real-world AI use cases are advancing business product innovation
  • Get insight into how data and AI are being unified to innovate
  • Get proven best practices for improving your Spark usage
  • Learn how Spark is employed in a variety of enterprise applications
  • Hear how other enterprise Spark users are solving business problems

SPARK + AI SUMMIT 2018 SPONSORS

DIAMOND

PLATINUM

GOLD

SILVER

BRONZE

EXHIBITING

RECRUITING