1. Big Data In Action See Live Demo Webinar and Real World Use Cases

    01:06:16

    from NGDATA / Added

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    Why do consumer-centric companies such as banks and retailers have so little intelligence about customers when they have so much data? Learn how you can use interactive Big Data to gain real-time, 360 degree customer view and transform your business. In this webinar, you will learn: Challenges enterprises are facing in getting a 360 degree view of customers How you can transform your customer intelligence by using Big Data Live demo and in-depth overview of an interactive Big Data Management solution

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    • Big Data In Action See Live Demo Webinar and Real World Use Cases 2-28-13 11.02 AM

      01:06:16

      from NGDATA / Added

      23 Plays / / 0 Comments

      Why do consumer-centric companies such as banks and retailers have so little intelligence about customers when they have so much data? Learn how you can use interactive Big Data to gain real-time, 360 degree customer view and transform your business. In this webinar, you will learn: Challenges enterprises are facing in getting a 360 degree view of customers How you can transform your customer intelligence by using Big Data Live demo and in-depth overview of an interactive Big Data Management solution

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      • Big Data Analysis with Topic Models: Human Interaction, Streaming Computation, and Social Science Applications

        53:10

        from Be Boulder Anywhere / Added

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        Jordan Boyd-Graber, University of Maryland Thursday, April 11, 2013 3:30-4:30 PM ABSTRACT: A common information need is to understand large, unstructured datasets: millions of e-mails during e-discovery, a decade worth of science correspondence, or a day’s tweets. In the last decade, topic models have become a common tool for navigating such datasets. This talk investigates the foundational research that allows successful tools for these data exploration tasks: how to know when you have an effective model of the dataset; how to correct bad models; how to scale to large datasets; and how to detect framing and spin using these techniques. After introducing topic models, I argue why traditional measures of topic model quality---borrowed from machine learning---are inconsistent with how topic models are actually used. In response, I describe interactive topic modeling, a technique that enables users to impart their insights and preferences to models in a principled, interactive way. I will then address computational and statistical limits to existing approaches and how streaming topic models, with an "infinite vocabulary", can be applied to real-world online datasets. Finally, I’ll discuss ongoing collaborations with political scientists to use these techniques to detect spin and framing in political and online interactions. BIO: Jordan Boyd-Graber is an assistant professor in the University of Maryland's iSchool and the Institute for Advanced Computer Studies. He is a 2010 graduate of Princeton University, with a PhD thesis on "Linguistic Extensions of Topic Models", under David Blei.

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        • 1010data - The Cost of a New Question

          34:54

          from 1010data / Added

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          • Lily Big Data Consumer Management Platform from NGDATA

            19:05

            from NGDATA / Added

            69 Plays / / 0 Comments

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            • Overview of Answergen

              10:25

              from Answergen / Added

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              A sneak peek at some of the features of Answergen.

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              • Scyfer Team Presentation Video

                03:27

                from Huib J. Lirb / Added

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                Scyfer Team Presentation Video. Scyfer B.V. is a spin-off from the University of Amsterdam that applies cutting edge machine learning and predictive analytics techniques developed by the scientific community. Scyfer is specialized in Deep Neural Networks and has developed a Deep Neural Network toolkit. Our predictive models are used by companies to gain competitive advantage, find opportunities and reduce waste. This video constitutes a brief presentation of the team by general manager and co-founder of Scyfer, Jörgen Sandig. This production is co-funded by FICHe program, the Future Internet Challenge eHealth. Produced and directed by Mat Spencer, Von Sturmer (mat@vonsturmer.com). Videomakers: Huib J. Lirb & Feliz Coll (Dutch Indies). ©2015 Von Sturmer / Dutch Indies. The music is properly licensed (hjlirb@dutchindies.com).

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                • ThunderCampaign Pitch

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                  from ThunderCampaign / Added

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                  Improve your crowdfunding campaign by using our big data analysis and stats of thousands of successful campaigns You can find us at: http://thundercampaign.com/ https://www.facebook.com/pages/ThunderCampaign/484646111680430?fref=ts https://www.linkedin.com/company/thunder-campaign?trk=top_nav_home https://twitter.com/thundercampaign http://www.f6s.com/thundercampaign2 http://www.crunchbase.com/organization/thunder-campaign-2 https://angel.co/thundercampaign

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                  • Optimieren Sie Ihre Unternehmensprozesse mit Big Data

                    01:32

                    from LABOR / Added

                    117 Plays / / 0 Comments

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