The Fifth Elephant 2017

On data engineering and application of ML in diverse domains

##Theme and format
The Fifth Elephant 2017 is a four-track conference on:

  1. Data engineering – building pipelines and platforms; exposure to latest open source tools for data mining and real-time analytics.
  2. Application of Machine Learning (ML) in diverse domains such as IOT, payments, e-commerce, education, ecology, government, agriculture, computational biology, social network analysis and emerging markets.
  3. Hands-on tutorials on data mining tools, and ML platforms and techniques.
  4. Off-the-record (OTR) sessions on privacy issues concerning data; building data pipelines; failure stories in ML; interesting problems to solve with data science; and other relevant topics.

The Fifth Elephant is a conference for practitioners, by practitioners.

Talk submissions are now closed.

You must submit the following details along with your proposal, or within 10 days of submission:

  1. Draft slides, mind map or a textual description detailing the structure and content of your talk.
  2. Link to a self-record, two-minute preview video, where you explain what your talk is about, and the key takeaways for participants. This preview video helps conference editors understand the lucidity of your thoughts and how invested you are in presenting insights beyond your use case. Please note that the preview video should be submitted irrespective of whether you have spoken at past editions of The Fifth Elephant.
  3. If you submit a workshop proposal, you must specify the target audience for your workshop; duration; number of participants you can accommodate; pre-requisites for the workshop; link to GitHub repositories and documents showing the full workshop plan.

##About the conference
This year is the sixth edition of The Fifth Elephant. The conference is a renowned gathering of data scientists, programmers, analysts, researchers, and technologists working in the areas of data mining, analytics, machine learning and deep learning from different domains.

We invite proposals for the following sessions, with a clear focus on the big picture and insights that participants can apply in their work:

  • Full-length, 40-minute talks.
  • Crisp, 15-minute talks.
  • Sponsored sessions, of 15 minutes and 40 minutes duration (limited slots available; subject to editorial scrutiny and approval).
  • Hands-on tutorials and workshop sessions of 3-hour and 6-hour duration where participants follow instructors on their laptops.
  • Off-the-record (OTR) sessions of 60-90 minutes duration.

##Selection Process

  1. Proposals will be filtered and shortlisted by an Editorial Panel.
  2. Proposers, editors and community members must respond to comments as openly as possible so that the selection processs is transparent.
  3. Proposers are also encouraged to vote and comment on other proposals submitted here.

Selection Process Flowchart

We will notify you if we move your proposal to the next round or reject it. A speaker is NOT confirmed for a slot unless we explicitly mention so in an email or over any other medium of communication.

Selected speakers must participate in one or 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.

##Travel grants
Partial or full grants, covering travel and accomodation are made available to speakers delivering full sessions (40 minutes) and workshops. Grants are limited, and are given in the order of preference to students, women, persons of non-binary genders, and speakers from Asia and Africa.

##Commitment to Open Source
We believe in open source as the binding force of our community. If you are describing a codebase for developers to work with, we’d like for 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), you should consider picking up a sponsorship. We recognise that there are valid reasons for commercial licensing, but ask that you support the conference in return for giving you an audience. Your session will be marked on the schedule as a “sponsored session”.

##Important Dates:

  • Deadline for submitting proposals: June 10
  • First draft of the coference schedule: June 20
  • Tutorial and workshop announcements: June 20
  • Final conference schedule: July 5
  • Conference dates: 27-28 July

##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

Agam Jain

@agamjain

Learnings from building TV viewership platform for 100 Million users at zapr

Submitted Apr 30, 2017

Zapr Media Labs has come a long way from tracking TV viewership of around 5 Million users two years back to around 100 Million users currently. We want to share learnings while building a complex audio signal processing based platform which has gone through this sort of hyper growth; which involves processing more than Billion signals per day; producing tera bytes of raw organic data and processing peta bytes of data on a daily basis.
The talk would focus around technologies we have used and why they worked better than others. It would also explain about the evolution which has happened during this period, which all data driven companies can benefit from.

Outline

  • Talk about what we do at zapr

  • what our raw and final data looks like

    • from raw audio fingerprints generated from Mobile App to a user’s viewership record
  • what we need to process

    • outline of transformations required on the raw data
    • Data Sinks
    • Fingerprint Processing System
    • Data Enrichment/Aggregation System
  • how we moved from a vertical to horizontally scalable system

    • vaious technology choices
    • scale out to a worker based Sample Processing
    • How to schedule jobs?
    • immutable data approach
    • message processing pipeline
  • evolution of tech used in the Viewership Infrastructure

    • from a monolith using php, mongo
    • to a netty, kafka (cornerstone), aerospike, samza, s3 (cornerstone), druid

Speaker bio

Im Agam Jain, ive been at zapr since its inception in early 2013. i joined here as a college intern
when the company strength was 5 people (including 3 founders)
and over the next 3 years i worked on many internal project and one of them was the Cloud based Matching Infrastructure.
Wherein we build a system which worked for us when we were processing data from a few thousand users and was very cost-effective as well.
Over time we’ve worked and reworked this setup from a monolith to a pipeline of events which is handling the present scale of 100 million users

Slides

https://www.dropbox.com/s/c29dfuv89e4z6qv/ViewershipLearnings.pptx?dl=0

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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