Videos

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 the best #datascience and #machinelearning conference in Asia - is transitioning into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more
Distributed consensus and data safety: NewSQL perspective

Distributed consensus and data safety: NewSQL perspective

Vijay Srinivas Agneeswaran

43 minutes 1 August 2017
Do you know what's on TV?

Do you know what's on TV?

Bharath Mohan, Sensara.TV

45 minutes 4 August 2017
Bits and joules: data-driven energy systems.

Bits and joules: data-driven energy systems.

Deva P. Seetharam, Dataglen

36 minutes 3 August 2017
Plumbing data science pipelines.

Plumbing data science pipelines.

Krishnapriya Satagopan, Mad Street Den

17 minutes 4 August 2017
How we are building serverless architectures for Deep Learning and NLP at Episource.

How we are building serverless architectures for Deep Learning and NLP at Episource.

Manas Ranjan Kar, Episource

20 minutes 4 August 2017
Suuchi: toolkit to build distributed systems.

Suuchi: toolkit to build distributed systems.

Sriram R, Indix

30 minutes 1 August 2017
Distributed ML: challenges and opportunities.

Distributed ML: challenges and opportunities.

Anand Chitipothu, Rorodata

19 minutes 1 August 2017
From a recommendations carousel to personalizing entire app: personalization story at Paytm.

From a recommendations carousel to personalizing entire app: personalization story at Paytm.

Charumitra Pujari, Paytm

37 minutes 1 August 2017
Wait, I can explain this! ML models explaining their predictions.

Wait, I can explain this! ML models explaining their predictions.

Ramprakash R, Zoho Corporation

23 minutes31 July 2017
Adapting bandit algorithms to optimise user experience at Practo Consult.

Adapting bandit algorithms to optimise user experience at Practo Consult.

Santosh GSK, Practo

18 minutes 1 August 2017
Open data in government: challenges, and the case of Telangana Open Data initiative.

Open data in government: challenges, and the case of Telangana Open Data initiative.

Rakesh Dubbudu, Factly

29 minutes31 July 2017
Augmenting Solr’s NLP capabilities with Deep Learning features to match images.

Augmenting Solr’s NLP capabilities with Deep Learning features to match images.

Kumar Shubham, DataWeave

20 minutes 1 August 2017
Transforming India's budgets into open linked data.

Transforming India's budgets into open linked data.

Gaurav Godhwani, OpenBudgetsIndia.org and DataKind

30 minutes31 July 2017
Sponsored talk: Developing and deploying analytics for IoT.

Sponsored talk: Developing and deploying analytics for IoT.

Amit Doshi, MathWorks

16 minutes31 July 2017
Interactive real-time dashboards on data streams using Kafka, Druid and Superset.

Interactive real-time dashboards on data streams using Kafka, Druid and Superset.

Nishant Bangarwa, Hortonworks

41 minutes31 July 2017
Gabbar: Machine learning to guard OpenStreetMap

Gabbar: Machine learning to guard OpenStreetMap

Bhargav Kowshik, Mapbox

38 minutes 1 August 2017
Machine Learning: from practice to production.

Machine Learning: from practice to production.

Ramanan Balakrishnan, Semantics3

39 minutes 1 August 2017
What explains our marks?

What explains our marks?

Anand S, Gramener

18 minutes 1 August 2017
Maps ❤️ Data: a voyage across the world of geo-visualization.

Maps ❤️ Data: a voyage across the world of geo-visualization.

Rasagy Sharma, Mapbox

36 minutes 1 August 2017
Designing ML pipelines for mining transactional SMS messages

Designing ML pipelines for mining transactional SMS messages

Paul Meinshausen, Montane Ventures

33 minutes 4 August 2017
What database? - a practical guide to selection from NoSQL, SQL and Polyglot data stores

What database? - a practical guide to selection from NoSQL, SQL and Polyglot data stores

Regunath Balasubramanian

39 minutes 1 August 2017
Fraud detection and risk management in payment systems implemented using a hybrid memory database.

Fraud detection and risk management in payment systems implemented using a hybrid memory database.

Srini V. Srinivasan, Aerospike

30 minutes 1 August 2017
Lessons learned from building a globally distributed database service from the ground up.

Lessons learned from building a globally distributed database service from the ground up.

Dharma Shukla, Microsoft

42 minutes 9 August 2017

Hosted by

The Fifth Elephant - known as one the best #datascience and #machinelearning conference in Asia - is transitioning into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more