The Fifth Elephant 2017
On data engineering and application of ML in diverse domains
Jul 2017
24 Mon
25 Tue
26 Wed
27 Thu 08:15 AM – 10:00 PM IST
28 Fri 08:15 AM – 06:25 PM IST
29 Sat
30 Sun
##Theme and format
The Fifth Elephant 2017 is a four-track conference on:
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:
##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:
##Selection Process
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:
##Contact
For more information about speaking proposals, tickets and sponsorships, contact info@hasgeek.com or call +91-7676332020.
Hosted by
Charan Puvvala
@charanpuvvala
Submitted Apr 25, 2017
In this talk we deep dive into how we are assisting Energy Utilities using IOT and Machine Learning to build the next generation of Autonomous grid. The potential impact of applying Machine Learning, IOT, IIOT is estimated at 2-4% of annual revenue, 3-5% of annual accounts receivable, cost improvement of 4-8% per campaign against their consumers. The topics include application of Machine Learning on 10 specific problems in Utilies ranging from Power generation to consumption and post service.
The principles from this talk can be applied to not just Energy but other consumables within utilities like Natural Gas, Water, Sewage
The problems and techniques which will be covered in the talk are:
Charan is a Chief Data Architect at Proarch. In this role he is responsible for architecting and building systems in domains of Utilities and BFSI. His special interests lie on solving problems using ANNs, Semantic and Linked Data. He also asists the Standard Chartered Bank in building their Data Science Stack, teams.
Charan was previously associated with Amazon & World Bank, respectively. During his stint with World Bank, Charan worked on the prestigious Open Data project as an Integration Specialist in 2011.
He was a Research Scholar at The Harvard University, Center for Italian Renaissance, Florence, Italy on Linked Data & Graph theory.
Charan is also the organizer and a regular Speaker at the Hyderabad Machine Learning Community.
Hosted by
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