Deep Learning Techniques

Python & Advanced Analytics

Apache Spark Use Cases & Ecosystem

Moscone Center San Francisco United States California
Location
April 23 - 25, 2019
Date range
From 795 USD
Pricing
See how this event performed in the previous years

Event details


Overview

THE WORLD'S LARGEST EVENT FOR THE APACHE SPARK COMMUNITY

SPARK + AI SUMMIT 2019

NOW INCLUDES 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 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 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

Rating

8.53 / 10
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Rate SPARK+AI SUMMIT 2019

Speakers 40

#

Ali Ghodsi

  • Databricks
  • CEO & Co-founder
#

Matei Zaharia

  • Databricks
  • Co-founder and Chief Technologist
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Reynold Xin

  • Databricks
  • Co-founder
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Timnit Gebru

  • Stanford
  • Researcher
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David Patterson

  • AMP Lab, AMP Lab UC Berkeley
#

Aaron Colcord

  • Director of Engineering, FIS Global
#

Aaron Davidson

  • Software Engineer, Databricks
#

Alastair Green

  • OpenCypher and SQL Property Graphs Standards Contributor Lead, Neo4j
#

Albert Franzi Cros

  • Data Engineer, Schibsted Product and Tech
#

Albert Yuen

  • Research Scientist, Lyft Inc.
#

Alexander Thomas

  • Data Scientist, Indeed
#

Alexey Zinovyev

  • Java/BigData Trainer, GridGain
#

Amy E. Hodler

  • Analytics Program Manager, Neo4j
#

Amy Wang

  • Senior Solutions Architect, Databricks
#

Andrew Clegg

  • Data Scientist and Machine Learning Engineer, Yelp
#

Animesh Singh

  • STSM, IBM
#

Ankit Agarwal

  • Production Engineering Manager, Facebook
#

Anna Holschuh

  • Lead Data Engineer, Target
#

Anne Holler

  • Machine Learning Architect, Uber
#

Anton Okolnychyi

  • Software Engineer, Apple
#

Austin Allshouse

  • BitSight
#

Bala Chandrasekaran

  • Technical Staff Engineer, Dell EMC
#

Behnam Robatmili

  • CTO, Bigstream
#

Ben Storrie

  • Senior Big Data Engineer, SpotX
#

Ben Weber

  • Principal Data Scientist, Zynga
#

Binwei Yang

  • Big Data Analytics Architect , Intel
#

Bogdan Ghit

  • Software Engineer, Databricks
#

Brandon Hamric

  • Principal Data Engineer, Eventbrite
#

Brian Cho

  • Software Engineer, Facebook
#

Brooke Wenig

  • Machine Learning Practice Lead, Databricks
#

Bryan Cafferky

  • Data Science and AI Technical Solutions Professional, Microsoft
#

Bryan Cutler

  • Software Engineer, IBM
#

Burak Yavuz

  • Software Engineer, Databricks
#

Carson Wang

  • Big Data Software Engineer, Intel
#

Cesar Delgado

  • Manager Siri Open Source Technology, Apple
#

Clemens Mewald

  • Product Manager, Google
#

Daeyoung Kim

  • Senior Data Scientist, BISTel
#

David Talby

  • CTO, Pacific AI
#

DB Tsai

  • Big Data Engineer, Apple
#

Deeksha Goyal

  • Graduate Student, Lyft Inc.

Media

Organiser

Databricks

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