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.
Real Time Intelligent Systems & Big Data Streams
To understand the latest trends in Real time analytics, and the advantages of applied predictive analytics.
Moving to real time, “anticipation denotes intelligence”. There is and will be vast potential for improved performance using applied predictive analytics, real time in many domains. The oncoming onslaught of sensor data, beyond the firewall generated content, all injected into the enterprise. For the advanced analytics and data mining community, what differentiates is the consumption of analytics. Use off the shelf components to stitch a system together, bolt on some machine learning algorithms, and optimize. Join us for a lively discussion of a few applied examples.
Deepinder Singh Dhingra is the Head of Product & Commercialization at Mu Sigma. In his role, Deepinder is responsible for recommending solutions that can scale and meet customer requirements in real time, with the help of assets that are developed in Mu Sigma.
Deepinder has over twelve years of experience in consulting and sales roles. He has previously worked for various enterprise software firms in the areas of business planning and business intelligence. Prior to Mu Sigma, Deepinder worked for Spotfire where he led Pre-Sales for the Financial Services vertical servicing major investment banks, asset management companies and hedge funds. He has also served as a Senior Consultant at Demantra and i2 Technologies.
Deepinder holds a Masters in Engineering from the University of Massachusetts, Amherst and a Bachelors in Chemical Engineering from IIT, Kanpur.
SMS Chauhan graduated from IIT Kanpur and then joined the Innovation and Development team in Mu Sigma, where he has worked for about four years. In the past, SMS has worked in the area of Real Time Analytics. He is currently working on the development of the Mu Sigma Real-time Intelligence Platform(MRIP), a technology solution which enables rapid development of analytics applications.