What are your users doing on your website or in your store? How do you turn the piles of data your organization generates into actionable information? Where do you get complementary data to make yours more comprehensive? What tech, and what techniques?
The Fifth Elephant is a two day conference on big data.
Early Geek tickets are available from fifthelephant.doattend.com.
The proposal funnel below will enable you to submit a session and vote on proposed sessions. It is a good practice introduce yourself and share details about your work as well as the subject of your talk while proposing a session.
Each community member can vote for or against a talk. A vote from each member of the Editorial Panel is equivalent to two community votes. Both types of votes will be considered for final speaker selection.
It’s useful to keep a few guidelines in mind while submitting proposals:
Describe how to use something that is available under a liberal open source license. Participants can use this without having to pay you anything.
Tell a story of how you did something. If it involves commercial tools, please explain why they made sense.
Buy a slot to pitch whatever commercial tool you are backing.
Speakers will get a free ticket to both days of the event. Proposers whose talks are not on the final schedule will be able to purchase tickets at the Early Geek price of Rs. 1800.
Data Explosion in Medical Imaging
Gone, or rather going, are the days when you would exit a doctor’s chamber an X-ray plate in your hand. Medical imaging has turned filmless today - with the advent of CT, MR, and digital X-Ray machines churning out gigabytes of data in every tier 1 & 2 Indian city for each patient, are we prepared to archive, transfer and retrieve this data ?
This is a journey through a marshy problem land.
We take a look at the basics of medical imaging, the structure and size of the data generated and explore the challenges of large data archival, compression techniques, and image transfer across low-bandwidth network.
Finally, we wrap up with possible directions of research where independent researchers can make progress, necessary open source toolkits needed and where to get the relevant datasets from.
(While I draw upon my experiences from my career, the talk is fairly vendor-neutral and does not represent my company.)
Shourya is a Senior Engineering Manager at GE Healthcare and currently leads the development team for enterprise image store. He started as a programmer in the common platforms group and has wandered in the realm of large data management, image reconstruction and clinical visualization for the last 12 years.