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.
In Data We Believe
Data drives eveything we do. Without it, everything stops. Literally. This swamp of data we are both floating and sinking is not really new. What is new is that the enormous amounts of data is now at our fingertips. It is not stored away and at rest. We are at the dawn of a golden period of gaining insights from this data that could not have been possible even five years ago. This talk will take stock of where we are today and extrapolate what is possible and what is most likely.
- as tech matures, the steady state has to be with data
- data (owned or mined or both) is the basis of making decisions
- the quality of decisions is highly influenced by the quality of
data both in terms of accuracy and timeliness
- the “big data” meme creates opportunities for algorithmic and
hueristic research which can lead to products and services that
cannot be possible with any conventional methods
- the only cost effective means to get to these abilities is if the
underlying architecture of hardware and software are both standards
based and open source.
- the ability to derive simple insights from very large amounts of
data (for example fractals)
an open mind
Head of Community Architecture and Leadership, Red Hat.