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

Jagadeesh Huliyar

@jagadeesh-huliyar

Real Time Fulfilment Planning at Flipkart Scale

Submitted Jul 19, 2016

Flipkart.com stores and sells millions of unique items through its Fulfillment Centers (FCs) and Sellers. These items need to be picked from FCs or need to be shipped from tens of thousands of Sellers into the many Sortation Centres in the Flipkart network. We need different quantities of each of these items, we need to pick them up from the FCs or Sellers at different times, and bring it into the Sortation Centres at specific times depending on the priority of the items and transport connections. Each batch of items has different dimensions, volume and weight and hence is associated with different restrictions and shipping costs. What we end up with is a gigantic graph, with the nodes being FCs, Sortations Centres, Transportation Hubs, Delivery Hubs and end customers. The arcs in this graph represent the time of transportation and cost of transportation and various other restrictions. Each node has a specific capacity, and so does each arc, and there are time constraints on when a product needs to ship out of a node and when it needs to come into a different node. And we need to do all of this while incurring the least cost.

Outline

In this talk I am presenting how planning is done in real time to ensure that SLAs given to customers are met considering the capacity and constraints of the supply chain network and at lowest cost.

Speaker bio

Jagadeesh is an Architect at Flipkart. He is currently working on Flipkart’s Supply Chain and Logistics Platforms focussing on Fulfilment Planning and Orchestration. Prior to this he was architect for Payments, Settlement and Fraud Detection Systems at Flipkart. He has built and operated several scaleable and highly available distributed systems. His interests include Change Propagation, Messaging Systems, Databases and Operations Research that focusses on Logistics and Routing problems.

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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