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The Fifth Elephant 2016

India's most renowned data science conference

The Fifth Elephant is India’s most renowned data science conference. It is a space for discussing some of the most cutting edge developments in the fields of machine learning, data science and technology that powers data collection and analysis.

Machine Learning, Distributed and Parallel Computing, and High-performance Computing continue to be the themes for this year’s edition of Fifth Elephant.

We are now accepting submissions for our next edition which will take place in Bangalore 28-29 July 2016.

#Tracks

We are looking for application level and tool-centric talks and tutorials on the following topics:

  1. Deep Learning
  2. Text Mining
  3. Computer Vision
  4. Social Network Analysis
  5. Large-scale Machine Learning (ML)
  6. Internet of Things (IoT)
  7. Computational Biology
  8. ML in healthcare
  9. ML in education
  10. ML in energy and ecology
  11. ML in agriculrure
  12. Analytics for emerging markets
  13. ML in e-governance
  14. ML in smart cities
  15. ML in defense

The deadline for submitting proposals is 30th April 2016

Format

This year’s edition spans two days of hands-on workshops and conference. We are inviting proposals for:

  • Full-length 40 minute talks.
  • Crisp 15-minute talks.
  • Sponsored sessions, 15 minute duration (limited slots available; subject to editorial scrutiny and approval).
  • Hands-on Workshop sessions, 3 and 6 hour duration.

Selection process

Proposals will be filtered and shortlisted by an Editorial Panel. We urge you to add links to videos / slide decks when submitting proposals. This will help us understand your past speaking experience. Blurbs or blog posts covering the relevance of a particular problem statement and how it is tackled will help the Editorial Panel better judge your proposals.

We expect you to submit an outline of your proposed talk – either in the form of a mind map or a text document or draft slides within two weeks of submitting your proposal.

We will notify you about the status of your proposal within three weeks of submission.

Selected speakers must participate in one-two rounds of rehearsals before the conference. This is mandatory and helps you to prepare well for the conference.

There is only one speaker per session. Entry is free for selected speakers. As our budget is limited, we will prefer speakers from locations closer home, but will do our best to cover for anyone exceptional. HasGeek will provide a grant to cover part of your travel and accommodation in Bangalore. Grants are limited and made available to speakers delivering full sessions (40 minutes or longer).

Commitment to open source

HasGeek believes in open source as the binding force of our community. If you are describing a codebase for developers to work with, we’d like it to be available under a permissive open source licence. If your software is commercially licensed or available under a combination of commercial and restrictive open source licences (such as the various forms of the GPL), please consider picking up a sponsorship. We recognise that there are valid reasons for commercial licensing, but ask that you support us in return for giving you an audience. Your session will be marked on the schedule as a sponsored session.

Key dates and deadlines

  • Revised paper submission deadline: 17 June 2016
  • Confirmed talks announcement (in batches): 13 June 2016
  • Schedule announcement: 30 June 2016
  • Conference dates: 28-29 July 2016

##Venue
The Fifth Elephant will be held at the NIMHANS Convention Centre, Dairy Circle, Bangalore.

##Contact
For more information about speaking proposals, tickets and sponsorships, contact info@hasgeek.com or call +91-7676332020.

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
Introduction to The Fifth Elephant 2016

Introduction to The Fifth Elephant 2016

8 minutes31 July 2016
ML in fin-tech - Transforming 60 crore Indian lives

ML in fin-tech - Transforming 60 crore Indian lives

Riddhi Mittal, Finomena

46 minutes31 July 2016
Keynote: The Alternative Data revolution on Wall St

Keynote: The Alternative Data revolution on Wall St

Gene Ekster, Analyst and Investment Consultant

1 hour31 July 2016
Continuous online learning for classification tasks

Continuous online learning for classification tasks

Saurabh Arora, Freshdesk

31 minutes31 July 2016
Meet the needs of content marketing with the power of NLP

Meet the needs of content marketing with the power of NLP

Balaji Vasan, Adobe Research Big Data Experience Labs

44 minutes31 July 2016
Convolutional Neural Networks from the Other Side

Convolutional Neural Networks from the Other Side

Sumod Mohan, SolitonTech

45 minutes31 July 2016
Looking under the hood - demystifying data tools

Looking under the hood - demystifying data tools

Simrat Hanspal, Mad Street Den

18 minutes31 July 2016
Hadoop & Cloud Storage: Object Store Integration in Production

Hadoop & Cloud Storage: Object Store Integration in Production

Rajesh Balamohan, HortonWorks

23 minutes31 July 2016
Dr. Elephant - Self-Serve Performance Tuning for Hadoop and Spark

Dr. Elephant - Self-Serve Performance Tuning for Hadoop and Spark

Akshay Rai, LinkedIn

27 minutes31 July 2016
Increasing Trust and Efficiency of Data Science using dataset versioning

Increasing Trust and Efficiency of Data Science using dataset versioning

Venkata Pingali, Scribble Data

18 minutes29 July 2016
Hierarchical Structure, Hierarchical Bayes approach and  implementation of MCMC

Hierarchical Structure, Hierarchical Bayes approach and implementation of MCMC

Soumen Dey, Indian Statistical Institute, Bangalore

41 minutes31 July 2016
Deciphering Driving Behaviour using Geospatial Temporal Data Collected from Smartphone Sensors

Deciphering Driving Behaviour using Geospatial Temporal Data Collected from Smartphone Sensors

Aditya Karnik, Zendrive

39 minutes31 July 2016
What do machine learning and high performance computing have to do with big cats in the wild?

What do machine learning and high performance computing have to do with big cats in the wild?

Dr. Arjun Gopalaswamy, Indian Statistical Institute, Bangalore

1 hour31 July 2016
Scalable Realtime Analytics using Druid

Scalable Realtime Analytics using Druid

Nishant Bangarwa, HortonWorks

46 minutes31 July 2016
Let your Big Data Processing take flight with Apache Falcon

Let your Big Data Processing take flight with Apache Falcon

Pallavi Rao, InMobi

29 minutes31 July 2016
Timely Dataflow

Timely Dataflow

Bharani S., ThoughtWorks

21 minutes31 July 2016
Taking Analytics Applications from Labs to the Real World: Transfer Learning in Practice

Taking Analytics Applications from Labs to the Real World: Transfer Learning in Practice

Shourya Roy, Xerox Research

49 minutes29 July 2016
Model Visualisation

Model Visualisation

Amit Kapoor, NarrativeViz

43 minutes31 July 2016
Reducing the world with JavaScript

Reducing the world with JavaScript

Aruna S, Mapbox

29 minutes31 July 2016
Machine Learning the Walmart Way with a Deep Dive into Automated Forecasting System

Machine Learning the Walmart Way with a Deep Dive into Automated Forecasting System

Anindya Sankar Dey, @WalmartLabs

23 minutes31 July 2016
Allocation and Forecasting in Guaranteed Delivery of Advertisements

Allocation and Forecasting in Guaranteed Delivery of Advertisements

Aditya Ramana Rachakonda, Flipkart

1 hour29 July 2016
Purpose, Speed & Visibility : Facilitating product discovery & engagement on a e-commerce website

Purpose, Speed & Visibility : Facilitating product discovery & engagement on a e-commerce website

Ekta Grover, BloomReach Inc

45 minutes29 July 2016
Taking Fashion and Lifestyle Commerce Towards SKUs Using Deep Image and Text Parsing

Taking Fashion and Lifestyle Commerce Towards SKUs Using Deep Image and Text Parsing

Vijay Gabale, Infilect

45 minutes29 July 2016
RightFit- A Data Science Approach to Reduce Product Returns in Fashion e-Commerce

RightFit- A Data Science Approach to Reduce Product Returns in Fashion e-Commerce

Ashish Kulkarni, JabongLabs

21 minutes29 July 2016
Scaling the Largest Functional DataSet @Flipkart aka Catalog

Scaling the Largest Functional DataSet @Flipkart aka Catalog

Anuj Mittal, Flipkart

40 minutes29 July 2016
Data-Driven Decision Making in Indian Agriculture: the Present and the Future

Data-Driven Decision Making in Indian Agriculture: the Present and the Future

Udit Poddar, SocialCops

19 minutes31 July 2016
Logging at scale using Graylog - Billion+ messages, 100K req/sec

Logging at scale using Graylog - Billion+ messages, 100K req/sec

Rohit Gupta

21 minutes31 July 2016
Keynote: Reasoning – The Next Frontier in Data Science

Keynote: Reasoning – The Next Frontier in Data Science

Shailesh Kumar, ThirdLeap

1 hour31 July 2016
Using Data to Identify the Genomic Cause of Disease

Using Data to Identify the Genomic Cause of Disease

Ramesh Hariharan, Strand Life Sciences

1 hour31 July 2016

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