The Fifth Elephant 2012

Finding the elephant in the data.

Real Time Intelligent Systems & Big Data Streams

Submitted by Deepinder Dhingra on Wednesday, 6 June 2012

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Technical level

Intermediate

Section

Data Analytics

Session type

Lecture

Status

Confirmed

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Total votes:  +8

Objective

To understand the latest trends in Real time analytics, and the advantages of applied predictive analytics.

Description

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.

Speaker bio

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.

Comments

  • 1
    Anu Sharma (@anusharma) 6 years ago

    Deepinder, I presume the substance of your talk will be different from Navin's (http://funnel.hasgeek.com/5el/352-operationalizing-analytics-for-consumption). Can you please take a few minutes to make the text of your proposal more focussed? That way it will be way more compelling.

  • 1
    Deepinder Dhingra Proposer 6 years ago

    I will be replacing Navin as a speaker for this topic.

  • 1
    Govind Kanshi (@govindsk) 6 years ago

    Deepinder, Few suggestions. Background 1. Audience - I am assuming we will have two kind of audience. One who is using existing the tools/methodologies/process to analyze the data. Another who is also developing the tools/processes unique to their environment while using new tools /process on side (InMobi,FlipKart, InaGist). Tools - Existing olap/analytics tools vs large scale storage/consumption/analytics.

    1. Analytics - Many-2 customers already do data analysis at its basic by having simple reports/analytics (custom/off the shelf). If we do go any CIO(business guy), he has data. He does analysis which his stakeholders want (dashboards,kpi, reports etc).

    Suggestion - If your content can tell a story where a story emerges in terms of right tools(Matlab/R or inhouse tools or BigData tools/infra - hdfs/hive or hdfs/mr and some analytics) and challenges since your esteemed firm comes from great consulting background, that will be great.

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