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
Zainul Charbiwala
@zainulcharbiwala
Submitted Jul 22, 2017
7.2 million people die of heart disease every year. 50% of these lives can be saved if heart attacks can be diagnosed quickly and treatment coordinated within the golden hour. Diagnosing heart disease requires a simple test called an ECG, unfortunately, interpreting the ECG accurately requires a specialist. But, how do we put the skills of a cardiologist in every corner of the globe ? How do we equip a GP in India or a nurse in sub-Saharan Africa or a medical attendant in Buenos Aires to be able to help diagnose a heart attack and start treatment ?
Tricog provides real time cardiac diagnosis amplifying the work of few doctors to reach out to all patients worldwide. We’ve built specialised AI powered algorithms to help our resident doctors with the diagnosis, which is then sent back to the remote centre, thus enabling a doctor or a health care worker in any remote location diagnose and initiate treatment for heart disease, thus saving lives.
This talk will discuss how we’ve built our systems to bridge the divide between machine intelligence and human expertise so that they work together as a team to provide this “Cardiology as a Service” at scale, accurately and quickly.
7.2 million people die of heart disease every year. 50% of these lives can be saved if heart attacks can be diagnosed quickly and treatment coordinated within the golden hour. Diagnosing heart disease requires a simple test called an ECG, unfortunately, interpreting the ECG accurately requires a specialist. But, how do we put the skills of a cardiologist in every corner of the globe ? How do we equip a GP in India or a nurse in sub-Saharan Africa or a medical attendant in Buenos Aires to be able to help diagnose a heart attack and start treatment ?
Tricog provides real time cardiac diagnosis amplifying the work of few doctors to reach out to all patients worldwide. We’ve built specialised AI powered algorithms to help our resident doctors with the diagnosis, which is then sent back to the remote centre, thus enabling a doctor or a health care worker in any remote location diagnose and initiate treatment for heart disease, thus saving lives.
This talk will discuss how we’ve built our systems to bridge the divide between machine intelligence and human expertise so that they work together as a team to provide this “Cardiology as a Service” at scale, accurately and quickly.
Zainul Charbiwala is a co-founder and the CTO at Tricog Health. He’s been building embedded systems, creating and managing teams and developing software for over 15 years. He is interested in the overlap of connected devices and machine intelligence to revolutionise and reinvent healthcare. He holds a Master’s degree from IIT Bombay and a PhD from University of California, Los Angeles. Before Tricog, Zainul was a Research Staff Member and Research Manager in the Smarter Planet Solutions group at IBM Research, India. Zainul has 7 patents and over 30 refereed publications.
Hosted by
{{ gettext('Login to leave a comment') }}
{{ gettext('Post a comment…') }}{{ errorMsg }}
{{ gettext('No comments posted yet') }}