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
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
Srini V. Srinivasan
@drvsrinivasan
Submitted Apr 27, 2017
In this talk, we will describe key real-time use cases in the areas of fraud detection, risk management and revenue assurance for payment systems and other such related systems. We will then present a brief overview of a database platform that has proven to be well suited for handling such use cases.
In payment systems, detecting fraud as it happens is critical to maintaining the integrity of the business. This could mean that for each payment transaction, several components in the payment chain have to be both monitored in real time and analysed for anomalies based on recent historical data to enable a decision to be made in 200-500 milliseconds.
In trading systems, there is a need to constantly calculate risk on a database of changing customer positions (due to both trades and fluctuations in stock values). These calculations are critical in enabling a better user experience by allowing faster, higher quality decisions such as whether to grant margin loans.
In telecommunication systems (and real-time adtech systems), revenue assurance requires the system to provide accurate real-time billing and charging on network data 10-100 times the scale of that which was required just a few years ago.
We have found that the best way to handle the demanding workloads of these types of real-time decisioning use cases is to use a hybrid memory database platform that uniquely leverages DRAM with flash storage. This platform needs to smoothly scale out processing across multiple nodes and optimize the usage of CPUs, DRAM, SSDs and networks to efficiently scale up performance on a single node. Over the past six years, this technology has been continuously used in over a hundred successful production deployments, as many enterprises have discovered that it can substantially improve their business capabilities and enhance their users’ experience.
https://drive.google.com/file/d/0B80IhwYPI7JWcWM0VVUzNGNHTkU/view?usp=sharing
Dr. Srini V. Srinivasan is Founder and Chief Development Officer at Aerospike.
When it comes to databases, Srini is one of the recognized pioneers of Silicon Valley. He has two decades of experience designing, developing and operating high scale infrastructures. He has over 25 patents in database, web, mobile and distributed systems technologies. His career includes high-profile technical and executive management roles at IBM, Liberate and Yahoo!.
Srini co-founded Aerospike to solve the scaling problems he experienced with Oracle databases at Yahoo! where, as Senior Director of Engineering, he had responsibility for the development, deployment and 24×7 operations of Yahoo!’s mobile products. Srini is an M.S./ Ph.D. holder from the University of Wisconsin-Madison and is an alumnus of IIT Madras.
https://drive.google.com/file/d/0B80IhwYPI7JWcWM0VVUzNGNHTkU/view?usp=sharing
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
Hosted by
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