Friday 27 July 2012
Audi 1
Audi 2
Audi 3
09:30–10:15
Crunching big data, Google scale
Rahul Kulkarni
10:15–11:00
In Data We Believe
Harish Pillay
11:30–12:15
An Introduction to Data Visualization & Processing ( Programming Language)
Uttam Grandhi
12:15–13:00
Big Data and the Cloud a Best Friend Story
Joseph Ziegler
12:15–13:00
Simplifying advanced analytics to empower business managers
Prithvijit roy
12:15–13:00
Visualising Text
Anand S
14:00–14:30
Looking beyond the usual suspects for Near Real Time analytics on Big Data
Navjot Sidhu
14:00–14:30
Introduction to data analysis & visualisation with R
shree joshi
14:00–14:30
Explorations in Data Analysis and Visualization
Dorai Thodla
14:30–15:00
Build your own Real Time Analytics and Visualization, Enable Complex Event Processing, Event Patterns and Aggregates
Ramesh Perumalsamy
14:30–15:00
The science behind Predictive Analytics- a Text Mining Perspective
Ankur Pandey
14:30–15:00
Lessons from the evolution of Mayavi
Prabhu Ramachandran
15:00–15:30
Splunk> Driving Real-time Analytics from Small Data, Big Data and Huge Data
Rahul Deshmukh
15:00–15:30
“I know what you are going to do next summer” – Predicting Repeat Purchase Behavior by using Bayesian Hierarchical model and Regression Techniques
Biswajit Pal
15:00–15:30
Seeing through the Haze - Advanced Visualisations using Python
Vinayak Hegde
16:00–16:30
The Elephant in the Cloud
Joydeep Sen Sarma
16:00–16:30
Exploratory Data Analysis with Python
Jaidev Deshpande
16:00–16:30
Building analyzing and visualizing large graphs
Ashwin Rajeev
16:30–17:00
How the Internet Archive preserves petabytes of data
Anand Chitipothu
16:30–17:00
Approaches to ML techniques on the Real world data.
Venkata Ramana
16:30–17:00
GlusterFS "Big Data" Interface
Venky Shankar
17:00–17:30
Build Your Own Search Engine
Siddhartha Reddy
17:00–17:30
Finding signal in the noise: How to put big data to use
Goldee Udani
17:00–17:30
Building the Infrastructure to Handle Big Data
Prashant Kumar
Saturday 28 July 2012
Audi 1
Audi 2
Audi 3
09:30–10:15
Your Genome on the Cloud: Big Data Challenges in Personalized Medicine
Ramesh Hariharan
10:15–11:00
Building Watson -- A Brief Overview of DeepQA and the Jeopardy! Challenge
Karthik Visweswariah
11:30–12:15
Exponential Growth Models and Impact on Sales Forecast,Data Volume, Query Latency, Capacity Planning and Search Latency
Ashok Banerjee
11:30–12:15
Data Explosion in Medical Imaging
Shourya Sarcar
11:30–12:15
RTI & Data: Opportunities, Issues & Challenges
Nikhil Pahwa
12:15–13:00
The Elephant that Flew - Big Data Analytics @ InMobi
Gaurav Agarwal
12:15–13:00
Open data and the life sciences: An open world
Kalpana Krishnaswami
12:15–13:00
Aadhaar - world's largest biometric identity platform (200 trillion biometric matches per day, 2 PB of data)
Regunath Balasubramanian
14:00–14:30
Messaging architecture at Facebook
qubole
14:00–14:30
Analytics Platform - Experience and evolution
Prasad A N
14:00–14:30
the aRt of NSSO data
Sumandro C
14:30–15:00
Real Time Intelligent Systems & Big Data Streams
Deepinder Dhingra
14:30–15:00
The Data Journalism Handbook
Lucy Chambers
14:30–15:00
How your favorite retailers make money from analytics?
Sridhar Bollam
15:00–15:30
Recommendation Play @Flipkart
Gaurav Bhalotia
15:00–15:30
Targeting the Moment of Truth: Using Big Data in Retail
Amit Kapoor
16:00–16:30
Application of Data analytics in Small / Medium Enterprise planning
Arvind Saraf
16:00–16:30
Structuring data from surveys - A case study from a slum survey conducted in 2010
Onkar Hoysala
16:00–16:30
From Data to Action (in Retail Banking)
Anannya Deb
16:30–17:00
Analytics is a magic wand for HR professionals
Karthikeyan Damodaran
16:30–17:00
Financial Market and Economic Data
Deepak Shenoy
15:00–15:30
Social Media & Text Analytics using Open Source Tools
rhebbar