1. Spectre

    03:11

    from Marquis Love / Added

    35 Plays / / 0 Comments

    Spectre is an informative campaign, created to get people aware of data mining companies and government agencies. Due to the evolution of human technological advances, there is now a necessity for companies and agencies to collect data on a mass scale to predict human advances in spending, communications and so on. These data mining companies are redefining the role of online snooping and a shift from the user's identity to the user's online identity has begun. For the most part most American are unaware of how much they are tracked online. Over the just past few years, the use of identities across the Web is growing and is becoming mainstream at a tremendous rates. A study by the Wall Street Journal examined approximately 1,000 of the top websites and established that 75% contains code from the top social networks. This code can be used to match people's identities with their Web-browsing activities.

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    • SigModel - A evolução está na inteligência

      01:39

      from José Márcio / Added

      100 Plays / / 0 Comments

      Este vídeo apresenta o SigModel, o único sistema capaz de mais do que dobrar o sucesso dos negócios e transformar as empresas em organizações pensantes.

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      • Making Big Data Work for Marketing | Oneupweb Strategic Digital Marketing

        01:20

        from Oneupweb / Added

        247 Plays / / 0 Comments

        Big data isn't just for big businesses. Follow this link http://go.oneupweb.com/big_data to see how it can help your company reach new heights. The Big Data video begins by showing a 20-something woman visiting multiple shops around town. It’s soon revealed that she’s so much more than just another consumer. She's an art enthusiast. She's a local foodie. She's a wine connoisseur. She's a social media butterfly. Big data, as the video goes on to explain, helps the marketer target precisely the right audience based off their likes, dislikes and motivating factors. Strategic digital marketing helps businesses leverage those insights for more effective targeting, acquisition and retention. The video ends by urging viewers to read Oneupweb's latest white paper for more information on how big data can help businesses – large or small – become even more efficient and profitable. Keep up with the latest Oneupweb insights by following these social media channels: Facebook: https://www.facebook.com/oneupweb Twitter: https://twitter.com/oneupweb LinkedIn: http://www.linkedin.com/company/oneupweb

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        • ARJUNA from 3LOQ

          01:55

          from 3LOQ / Added

          ARJUNA is a marketer’s wish come true. Powered by advanced machine learning algorithms and big data, it figures out what each consumer is interested in and the best place, time and channel to engage. Eliminate wasteful campaigns and connect with your existing and new consumers in a meaningful way.

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          • Alessandra & Carrie

            00:54

            from skyberrys / Added

            19 Plays / / 0 Comments

            Response to Question "Provide a 1 minute video introducing the founders."

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            • kimono: a 60 second introduction

              01:00

              from Kimono Labs / Added

              143K Plays / / 2 Comments

              kimono lets you turn any website into an API from your browser in seconds. Check it out at kimonolabs.com. Get structured data output in JSON or .CSV. Your API will be hosted in the cloud and run on the schedule you specify. No need to write a single line of code. Also, Kimono's app builder lets you create simple responsive apps with your API data without writing any code.

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              • DiG: A task-based approach to product search

                02:04

                from FX Palo Alto Laboratory / Added

                5 Plays / / 0 Comments

                DiG is a walk-up-and-use system that lets people make informed purchasing decisions about products. DiG recommends products to users based on how they plan to use the product. The interface uses information extracted automatically from sentences in online customer reviews. Statistical methods that cluster and find patterns are used to get detailed information about product features and uses.

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                • Webinar: Working With the High Volume Data Warehouse in Centerprise

                  01:09:26

                  from Astera Software / Added

                  http://www.astera.com/centerprise

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                  • “Mastering Data-Intensive Collaboration and Decision Making” Dr. Nikos Karacapilidis (IC3K 2013)

                    47:32

                    from INSTICC / Added

                    43 Plays / / 0 Comments

                    Keynote Title: Mastering Data-Intensive Collaboration and Decision Making Keynote Lecturer: Dr. Nikos Karacapilidis Keynote Chair: Dr. David Aveiro Presented on: 22-09-2013, Vilamoura, Algarve, Portugal Abstract: Collaboration and decision making settings are often associated with huge, ever-increasing amounts of multiple types of data, obtained from diverse and distributed sources. In many cases, the raw information is so overwhelming that stakeholders are often at a loss to know even where to begin to make sense of it. In addition, these data may vary in terms of subjectivity and importance, ranging from individual opinions and estimations to broadly accepted practices and indisputable measurements and scientific results. Their types can be of diverse level as far as human understanding and machine interpretation are concerned. At the same time, big volumes of data can be effortlessly added to a database; the problems start when we want to consider and exploit the accumulated data, and meaningfully analyze them towards making a decision. Admittedly, when things get complex, we need to identify, understand and exploit data patterns; we need to aggregate big volumes of data from multiple sources, and then mine it for insights that would never emerge from manual inspection or analysis of any single data source. In other words, the pathologies of big data are primarily those of analysis. The above call for investments in innovative software that reduces or eliminates time wasted, reduces management overheads, streamlines collaborative processes, and automates the overall workflow. Return on such investments can be both tangible (e.g. time or money saved) and intangible (e.g. more valuable information, easier extraction of hidden information, increase of information workers’ satisfaction and creativity, improved collaboration). Overall, such innovative solutions have to face two major imperatives: (i) they need to exploit the information growth by ensuring a flexible, adaptable and scalable information and computation infrastructure; (ii) they need to exploit the competences of all stakeholders and information workers to meaningfully confront various information management issues - in other words, dealing with data-intensive and cognitively complex settings is not a technical problem alone. Elaborating the above issues, this keynote aims to provide insights about the development of innovative solutions towards the facilitation and enhancement of collaboration and decision making in data-intensive and cognitively-complex settings. Particular emphasis is given to the exploitation of the synergy between human and machine reasoning. Results and lessons learned from a related, recently completed EU FP7 project (namely, Dicode - http://dicode-project.eu), are also discussed. Presented at the following Conference: IC3K, International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management Conference Website: http://www.ic3k.org

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                    • DSC Webinar Series: Turning Obstacles into Advantages: Solutions for Visual Data Mining and Predictive Analytics 12.10.2013

                      01:01:17

                      from Tim Matteson / Added

                      242 Plays / / 0 Comments

                      The explosion of new data sources enables companies to gain insights that were not previously available, but with these new opportunities also come new challenges like resource scarcity and Big Data integration. Companies are turning to advanced analytics and innovative new technologies to answer critical customer-centric questions faster than the competition. But resources, especially Data Scientists and Hadoop experts are rare. BIRT Analytics, Actuate’s predictive analytics and visual data mining solution, helps business users rapidly uncover these insights and effectively build a customer-centric strategy with advanced, easy-to-use analytics. In this webinar you will learn how to: • Create sustainable business growth by uncovering revenue-generating customer opportunities • Leverage exploratory, descriptive, and predictive analytical and statistical techniques to drive customer-focused strategies • Drill down into data to identify patterns and hidden relationships, profile top buyers and accurately forecast trends and profits • Arm business users with information to make decisions without burdening the data scientist, nor interrupting IT in its core competencies

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