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.
Finding signal in the noise: How to put big data to use
How one can derive actionable insights from big data using Machine Learning, Natural Language Processing and Statistical Modeling
Data scientists use a variety of different techniques nowadays to analyze large-scale data and derive valuable insights from them. I will cover some of these techniques from machine learning, NLP and statistical modeling and how it has been used to uncover insights hidden in the data.
Speaker bio #
Goldee Udani is the Founder/CEO of Beevolve. Beevolve offers one of the leading social media monitoring and insights platform in the market today. Prior to Beevolve, he has worked at two startups in the field of web mining and speech analysis. He has also co-authored a number of research papers and patent on mining data. He has a bachelor’s degree in Computer Science from Gujarat University, India and a master’s degree in Computer Science from University of Southern California.