Welcome to the largest data and machine learning conference in Europe! Join over 1,700 data scientists, engineers and analysts to collaborate at the intersection of data and ML. You will learn about the latest advances in open-source technologies such as Apache Spark™ TensorFlow, MLflow, and PyTorch as well as best practices for deploying AI in the real world. You will also learn the latest on bleeding edge OSS technologies including Delta Lake, MLflow, and Koalas.

SPARK + AI SUMMIT 2019 KEYNOTE SPEAKERS

Matei Zaharia
Matei Zaharia

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

Daniel Jeavons

General Manager, Advanced Analytics CoE

Caroline Bellamy

Chief Data Officer

Ali Ghodsi
Ali Ghodsi

Co-founder & CEO Original Creator of Apache Spark

Soumith Chintala

Researcher

Kat Hawkins

Presenter

Rohan Kumar

Corporate Vice President, Azure Data

Michael Armbrust

Distinguished Engineer

Reynold Xin
Reynold Xin

Co-founder & Chief Architect

Mainak Mazumdar

Chief Research Officer

Rob McKendrick

Head of Data

Ion Stoica

Executive Chairman & Co-Founder

Kshitij Kumar

Vice President for Data, Machine Learning and AI

THE WORLD'S LARGEST EVENT FOR THE APACHE SPARK COMMUNITY

SPARK + AI SUMMIT EUROPE 2018

EXPANDED TO FOCUS ON PRACTICAL AI USE CASES AND MACHINE LEARNING

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. Apache Spark has been the only unified analytics engine that combines large-scale data processing with the execution of state-of-the-art machine learning and AI algorithms.

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

With Spark + AI topics together, this conference is the unique “one-stop shop” for developers, data scientists, and tech-executives to learn how to practically apply the best tools in data and AI to build innovative products. So join more than 1,500 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
  • 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
  • Use Cases

TRAINING & CERTIFICATION

ABOUT:

Spark + AI Summit Europe begins on October 2 with several 1-day training workshops, which include a mix of instruction and hands-on exercises. Databricks Certification for Apache Spark 2.x is also offered as an exam with optional 1/2-day prep course. Training or certification is purchased as an add-on to the Conference Pass.

CERTIFICATION:

  • 1/2 Prep-course + Databricks Developer Certification: Apache Spark 2.x
  • Databricks Developer Certification exam on Apache Spark.

TRAINING:

Training courses at Spark+AI Summit utilize Databricks as courseware.

  • Data Science with Apache Spark
  • Hands on Deep Learning with Keras, Tensorflow, and Apache Spark
  • Apache Spark Tuning and Best Practices
  • Apache Spark Programming
  • Delta
  • Azure Databricks ETL and Data Warehousing

Ticket Pricing

CONFERENCE PASS - October 16 and 17
LAUNCH PRICINGAvailable until July 12
EARLY BIRDAvailable until August 16
STANDARDAvailable until October 14th
ON-SITEDuring Event
Conference Access to keynotes, breakouts, lunch and events organized by Spark + AI Summit
£995
£1,295
£1,395
Training Pass
Training is sold in conjunction with access to the conference, training only passes are not available this year.
  • Data Science with Apache Spark
  • Understand and Apply Deep Learning with Keras, TensorFlow & Apache Spark
  • Apache Spark Tuning and Best Practices
  • Apache Spark Programming
£795
£895
£995
  • Databricks Certification for Apache Spark 2.x
£450
£450
  • Databricks Developer Certification exam on Apache Spark
£250
£250
CONFERENCE PASS - October 16 and 17
Conference Access to keynotes, breakouts, lunch and events organized by Spark + AI Summit
LAUNCH PRICINGUntil July 12
EARLY BIRDUntil August 16
£995
STANDARDUntil October 14
£1,295
ON-SITEDuring Event
£1,395
LAUNCH PRICINGUntil July 12
EARLY BIRDUntil August 16
STANDARDUntil October 14
ON-SITEDuring Event
Training Pass
Training is sold in conjunction with access to the conference, training only passes are not available this year.
  • Data Science with Apache Spark
  • Understand and Apply Deep Learning with Keras, TensorFlow & Apache Spark
  • Apache Spark Tuning and Best Practices
  • Apache Spark Programming
LAUNCH PRICINGUntil June 14
EARLY BIRDUntil July 31
£795
STANDARDUntil October 14
£895
ON-SITEUntil October 17
£995
  • Databricks Certification for Apache Spark 2.x
LAUNCH PRICINGUntil June 14
EARLY BIRDUntil July 31
£450
STANDARDUntil October 14
£450
ON-SITEUntil October 17
  • Databricks Developer Certification exam on Apache Spark
LAUNCH PRICINGUntil June 14
EARLY BIRDUntil July 31
£250
STANDARDUntil October 14
£250
ON-SITEUntil October 17

VENUE

ABOUT

ExCeL (Exhibition Centre London) is an exhibitions and international convention centre in Custom House, East London.[3] It is located on a 100-acre (0.40 km2) site on the northern quay of the Royal Victoria Dock in London Docklands, between Canary Wharf and London City Airport, and is located within the London Borough of Newham.

 

ADDRESS

ExCeL

Custom House, Docklands, London E16
Hotel Information Coming Soon!

WHY SPARK + AI SUMMIT?

REASONS TO ATTEND FOR:

Apache Spark Developers
Data Scientists
AI and Deep Learning Developers
Infrastructure / Site Reliability Engs
Researchers

  • Discover real-world Artificial Intelligence use cases
  • Learn about the latest Deep Learning Frameworks and Apache Spark Integration
  • Stay abreast with best practices for Productionizing Machine Learning Models
  • Find out what lies ahead for the open source Spark project
  • Hear 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 to process big data more quickly and efficiently from leading data scientists and researchers

REASONS TO ATTEND FOR:

Data Practitioners
Key Decision Makers
Business Executives

  • See how leading companies successfully deploy Apache Spark at scale
  • Find out how real-world AI use cases are innovating business products
  • Get proven best practices to improve your Spark usage
  • Learn how Spark is employed in a variety of enterprise applications
  • Hear how other enterprise Spark users solve business problems

PROGRAM COMMITTEE:

First Name Last Name Organization
Michael Armbrust Databricks
Joseph Bradley Databricks
Evan Chan tuplejump
Avery Ching Facebook
Jason Dai Intel
Tathagata Das Databricks
Pablo Delgado OpenTable
Erik Erlandson Red Hat
Mike Franklin U Chicago
Joey Gonzalez UC Berkeley
Tom Graves Oath
Stephen Haberman LinkedIn
Holden Karau Google
Koert Kuipers Tresata
Jacky Li Huawei
Yanbo Liang Hortonworks
Ben Lorica O’Reilly Media
Matt Massie UC Berkeley
Wes McKinney 2 Sigma
Sean McNamara Webtrends
Xiangrui Meng Databricks
Christopher Nguyen Arimo, Inc.
Kay Ousterhout UC Berkeley
Sean Owen Cloudera
Nick Pentreath IBM
Anirudh Ramanathan
Sandy Ryza Clover Health
Kousuke Saruta NTT Data
Sim Simeonov Swoop
DB Tsai Apple
Eva Tse Netflix
Marcelo Vanzin Cloudera
Shivaram Venkataraman UC Berkeley
Dean Wampler Lightbend
Xuan Wang Databricks