Submit a talk on data

Submit a talk on data

Submit talks on data engineering, data science, machine learning, big data and analytics through the year – 2019

##This space is open for submitting proposals on data engineering, data science, machine learning, big data and analytics through the year in 2019.

We will host data events round the year, in 2019. Talks for these conferences will be selected from here. Submit a proposal any time.

##Should you have queries, write to us on fifthelephant.editorial@hasgeek.com or call us on 7676332020

Hosted by

The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more

Vidyasagar Nallapati

@dumbyoda

Serverless Machine Learning Platform

Submitted Apr 30, 2018

A practical, architectural talk on a scalable, platform for machine learning as a service built on the principles of serverless architecture

Outline

Creating machine learning models, tuning, training, and scoring is a highly complex and long process. It requires a right combination of software, hardware, engineers, data scientists. The “As-a-Service”-based models and serverless architecture would fundamentally transform enterprise would solve business problems using machine learning and can change the cognitive application delivery space. This talk is about design patterns, architecture and implementation of a platform build on the principle of serverless architectures and scaling machine learning models as microservices. The core idea is to help developers and data scientists to focus on solving business problems using data using cutting-edge models, that spending time in operationalization. In this talk, I would be discussing overall platform, architecture and case studies on this

Outline:

  • Serverless Architecture and Machine Learning
  • Machine Learning function as a service
  • A Devops powered platform for creating, running and scaling machine learning functions
  • Applications and Case Studies
  • Refrences and Future

Speaker bio

Vidyasagar N is a senior architect at Dell Technologies as part of IOT, Big Data and Advanced Analytics team from Bangalore. He loves all the things mathematics, statistics, machine learning, developer tools, automation and anything that will make systems better and easier, so he has found that in architecting, building and running large scale distributed services. He has a good practical experience in building rock-solid data pipelines prior to EMC in several startups, he has done his B.Tech from IIT BHU and has studied analytics at IIM Bangalore.

When Vidyasagar is not writing code, he can be found traveling, playing music and indulging in coffee.

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Hosted by

The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more