Big Data, London V 11.0




Big Data, London v 11.0

5 June 2019


Added 01-Jan-1970

A night of cutting-edge content in all things Data! Join the Data Natives community alongside drinks, snacks and lots of fun!


6:00 - 6:15 PM: Registration

6:15 - 6:30 PM: Paula Grohmann, Head of Events at Data Natives

"Welcome to Data Natives!"

6:35 - 6:55 PM: Yuriy Babak, The head of ML/DL framework development at GridGain

"Distributed Machine and Deep Learning at Scale with Apache Ignite"

With most machine learning (ML) and deep learning (DL) frameworks, it can take hours to move data for ETL, and hours to train models. It's also hard to scale, with data sets increasingly being larger than the capacity of any single server. The amount of the data also makes it hard to incrementally test and retrain models in near real-time.

Learn how Apache Ignite and GridGain help to address limitations like ETL costs, scaling issues and Time-To-Market for the new models and help achieve near-real-time, continuous learning.

Yuriy Babak, the head of ML/DL framework development at GridGain and Apache Ignite committer, will explain how ML/DL work with Apache Ignite, and how to get started.

Topics include:
— Overview of distributed ML/DL including architecture, implementation, usage patterns, pros and cons
— Overview of Apache Ignite ML/DL, including built-in ML/DL algorithms, and how to implement your own
— Model inference with Apache Ignite, including how to train models with other libraries, like Apache Spark, and deploy them in Ignite
— How Apache Ignite and TensorFlow can be used together to build distributed DL model training and inference

7:00 - 7:20 PM: TBA

7:25 - 8:30 PM: Food and Drinks

If you would like to get in touch with us for getting involved, please write us an email: [masked]. Looking forward to seeing you there for another night of great talks, a few drinks, food and some networking!