DataBeat – Using Data To Ignite Growth

DataBeat Using Data To Ignite Growth
DataBeat — VentureBeat’s second annual big data conference on May 19-20 in San Francisco— is laser-focused on helping companies increase profitability through smart analytics and big data tools.

Now that data is driving their decisions, growth-oriented executives are confronting a bewildering set of options.  They’re gathering the brightest minds in the industry to filter through the noise and give new insights on technologies and strategies that will accelerate growth.

Our friends at VentureBeat are offering our network a 15% discount on tickets (click the “Register now” link or enter the “Uber15” code at the checkout). Register now before it’s too late! (more…)

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  • DataBeat – Using Data To Ignite Growth original content from Ubergizmo.



    New York City Is Using Data Mining to Fight Fires

    New York City Is Using Data Mining to Fight Fires

    Helmets? Check. Breathing tanks? Check. Hoses? Ditto. Algorithms? Yep: the New York City Fire Department is using data mining to predict which of the city’s buildings are at highest risk of catching fire. Now that’s metadata we can get behind.

    Read more…


        



    Applying Big Data Analytic Strategies To Enhance Customer Management and Reduce Operational Costs

    At Big Data for Utilities Summit: Using Big Data to Enhance Utility Customer Engagement and Relations get guidance from leading big data technology providers and early adopters on implementing analytics platforms, systems and strategies.  They will present lessons learned in […]

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    Big Data Brokers: They Know Everything About You and Sell it to the Highest Bidder

    Data companies are scooping up enormous amounts of information about almost every American. They sell information about whether you’re pregnant or divorced or trying to lose weight, about how rich you are and what kinds of cars you have. More »

    Structure:Data • March 20 & 21, 2013 • New York, NY

    Structure:Data • March 20 & 21, 2013 • New York, NY

    Put Data to Work – Learn how to make the most of the data revolution at Structure:Data. Join 700 of most senior big data thinkers, practitioners and technologists and hear 60+ of the smartest data minds around as they share how they are planning for the future, building DaaP, improving management and infrastructure, taking advantage of the latest trends and using human intelligence to improve and scale machine learning. Some of our speakers will include:

    • David Gutelius, Jive Software – A real scientist gives a real talk without any jive.
    • Michael Abbott, Kleiner Perkins Caufield & Byers – An engineer that is legend, and now an investor at a legendary VC firm.
    • Bhaskar Ghosh, LinkedIn – Sit up straight and learn to create brawny infrastructure for a company who links you to business.
    • Amaya Souarez, Microsoft – The buyer for all of Microsoft’s datacenters shares her thoughts on big data trends.
    • Muddu Sudhakar, VMware – Currently vice president of the big data and cloud division within VMware, now key in the Pivotal initiative.
    • Mohan Namboodiri, Williams-Sonoma– Learn how Mohan is sculpting Williams-Sonoma’s future from their raw data.

    Ubergizmo readers receive $100 off by registering through this special link: http://bit.ly/VvzMW2

    Register now!

    By Ubergizmo. Related articles: ad:tech San Francisco, April 9-10, CeBIT Global Conferences – the international Keynote Conference of CeBIT,

    What Is Big Data?

    The human race produces 2.5 quintillion bytes of data every day—far too much to crunch using conventional desktop applications. Mining this mountain of data for nuggets usable information is one of the biggest challenges facing modern society. But a new generation of analytic tools are helping us control the phenomenon that’s becoming commonly known as Big Data. More »

    How the Obama Campaign Uses Your Personal Information to Get Your Money and Your Vote [Data]

    In 2008, the Obama campaign enlisted the help of Facebook and Google bigwigs to help raise massive sums from a lot of small donors. Back then, the key was just a few pieces of data—today, that data mining effort has been expanded to a huge and very creepy degree. More »