Intuit’s Data journey to Public cloud

Jul 2016

25 Mon

26 Tue

27 Wed

28 Thu 08:30 AM – 06:25 PM IST

29 Fri 08:30 AM – 06:15 PM IST

30 Sat 08:45 AM – 05:00 PM IST

31 Sun 08:15 AM – 06:00 PM IST

Make a submission

NIMHANS Convention Centre

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:

Deep Learning
Text Mining
Computer Vision
Social Network Analysis
Large-scale Machine Learning (ML)
Internet of Things (IoT)
Computational Biology
ML in healthcare
ML in education
ML in energy and ecology
ML in agriculrure
Analytics for emerging markets
ML in e-governance
ML in smart cities
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

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

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Intuit’s Data journey to Public cloud

Submitted Jun 14, 2016

Section: Crisp talk Technical level: Intermediate

Cloud adoption has now entered the “early mainstream” stage as enterprises increasingly look to cloud deployment as a viable model for agile, cost-effective IT delivery. However, the prevailing binary paradigm of cloud infrastructure (public versus private) limits the extent to which enterprises can fully leverage the on-demand, self-service, elastic resource provisioning attributes of public cloud while maintaining the same security, reliability, performance, and management frameworks present in current private cloud implementations. Hybrid cloud solves this problem.

This talk discusses Intuit’s data journey to the public cloud (Amazon Web Services), while also having one leg in the existing private cloud (or Intuit’s own data centre). It will focus on one of the first data pipelines we designed and implemented in Intuit to cater to Intuit’s charter of migrating its services and applications to the public cloud. Challenges addressed include the following:

Managing and securing data at rest as well as in-flight on a shared infrastructure as opposed to the earlier isolation of Intuit’s own data centre.
Evaluation of different AWS services for being enterprise ready and to comply with Intuit’s security requirements.
Secure flow of data across the public and private clouds in the hybrid infrastructure.
Focus on leveraging the maximum potential of the elasticity, reliability, durability and availability guarantees of different AWS services.
Control levers on data access.

Outline

In this talk, I will talk about the following:

Business use case of Intuit’s pipeline in the hybrid cloud.
Design and Architecture
Security challenges in AWS components.
Data security at rest.
Data security in-flight.
Network and user policies for controlling access to data.
Re-stacking of infrastructure to avoid security breaches.
Flow of data between Intuit’s datacenter and AWS.

Speaker bio

Abhishek has close to 4 years of experience in Big Data Technologies and Amazon Web Services. Working as a Staff Engineer in the data organization at Intuit. After graduating from IIT Roorkee, Abhishek worked for companies like NetApp and Inmobi before taking up his current role at Intuit.

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