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

For more information about speaking proposals, tickets and sponsorships, contact or call +91-7676332020.

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All about data science and machine learning

Deepikavalli A


Gen Z BI Paradigm - A Scalable , hybrid and collaborative Visualization Architecture using Spark , No SQL and Restful API

Submitted Jun 10, 2017

The Business Intelligence (BI) landscape is constantly in a state of flux – there is a need for constant growth in order to cope with the exponential changes in the data and analytics space.
In today’s world, everything is measured, and everything is interconnected. This has triggered our common goal to collate varied sources of information in different formats and make it available anywhere, anytime but in the right format with rich visualization.

This poses some intriguing questions:

  1. How do you plug and play with varied sources and diverse formats of data?
  2. What would form a centralized architecture routing real-time information ?
  3. How would you build this robust platform / infrastructure with reduced latency?

This is what I’m going to address in my talk.

This Gen Z BI Paradigm would be a state-of-the-art framework, with customized, interactive , rich visualization integrated with competitive analytics, Natural Language Processing, social media Sentiment Analysis, online news feeds building a collaborative BI framework that is accessible on all devices, whether on the web or mobile.


In this talk, we will cover:
• Next Gen BI
• Our Project
• Scalable , hybrid Architecture using Spark , No SQL and Restful API
• Integration of National Language Processing , Social Media and Sentiment Analysis
• Future Bet - A personalized chatbot (conversational UI) using NLP and Machine Learning.



Speaker bio

Deepika is a seasoned IT engineer with a demonstrated history of working with data technologies. She is passionate about data and skilled in MicroStrategy, Tableau, Qlikview, Teradata and related Big Data technologies. She has done her Masters in Systems Software from BITS, Pilani and her Bachelor of Engineering, focused in Computer Science from College of Engineering, Guindy.

With 10 years of extensive experience in BI and related technologies, Deepika has seen the crux of the evolving BI vision, spanning across progressive generations, aiming to be the torch bearer for data democratization imbibing cutting edge technologies. Deepika is uniquely qualified to present this topic, with her experiential research and practically proven insights enabling her to communicate a new perspective with clear reasoning.



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All about data science and machine learning