Posts Tagged ‘data analytics’

Attensity Releases Analyze 6.3

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27th February 2014 - Attensity, a provider of integrated, real-time solutions that blend multichannel voice of the customer (VoC) analytics and social engagement for enterprise listening needs, has released Analyze 6.3, which includes business-oriented added features and enhancements.

Attensity Analyze 6.3 gives users access to text analytics engines with real-time access to more than 150 million blogs and forums, Facebook, and Twitter. Read more

Big Data is a Tool: Use It Prudently

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Michael C. Daconta of GCN recently wrote, “Recent articles about Pandora’s and Netflix’s use of big data illustrate why government IT managers should not just focus on data management, data collection and even big data processing. They need to shift the focus from the data producer to the data consumer… In both these cases, we see big data is the stepping stone for consumer-centric information production. The Netflix micro-genres are not the trove of big data on movie viewing, or the movie data itself. Instead, it is useful information mined from that data. Likewise, the data containing Pandora users’ demographics and preferences create a way for advertisers to target buyers.” Read more

Semantic Technology Jobs: Walt Disney Studios

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Walt Disney Studios is looking to fill a Business Intelligence and Analytics Graduate PhD Internship in Burbank, CA, this summer. According to the post, “The main focus will be to perform social media monitoring and develop actionable insights for the theatrical team. The theatrical analytics team partners with technology teams and other analytical leaders to develop predictive models, metrics, insights, and related intellectual property that can be forged into business recommendations with the intent to influence decisions prior to a film’s box office release. By receiving access early to the social buzz surrounding pre-released movies, this team will be able to guide our leaders to make more informed decisions leading to increased sales in the consumer marketplace.” The intern will “Focus on the algorithmic evaluation of everything in the social networking domain. Work directly with the business teams to solve hard problems by leveraging statistics and techniques, including design of experiments, AB testing, machine learning, importance sampling, natural language processing, etc.” Read more

D&B and FirstRain to Deliver Deep, Actionable Insight through Structured and Unstructured Business Data

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SHORT HILLS, N.J. & SAN MATEO, Calif.–(BUSINESS WIRE)–January 14, 2014–D&B (NYSE:DNB), the world’s leading source of commercial information and insight on businesses, and FirstRain, a leading provider of customer insights for the enterprise, today announced a partnership to deliver a ground-breaking solution combining structured and unstructured business data and analytics. The solution will provide a 360-degree view of a company that unifies relevant social content with D&B’s leading commercial content in a simple and seamless manner that is easy to use and integrate into business applications, in near real time. Read more

Tech for Lawyers in the Age of Big Data

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Derrick Harris of GigaOM recently wrote, “The legal profession is inherently conservative when it comes to adopting new technologies and practices, but firms and lawyers that want to stand out in an evolving field might want to jump on the big data bandwagon sooner rather than later. Law firms took a beating during the peak of the recession a few years ago — large firms, especially, laid off staff and scaled back significantly on hiring — and many argue the profession will never be the same. Clients worried about their own finances aren’t as keen on forking over huge hourly fees as teams of associates and partners work their cases. The business model of law is evolving pretty rapidly, from flat-rate fee structures and on-demand legal advice to the democratization of certain services via companies like LegalZoom.” Read more

Get Rid of Bad Analytics with Semantic Analysis

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Nicole Laskowski of Search CIO reports, “Traditional data analytics has three rungs: descriptive, predictive and prescriptive analytics. But Scott Mongeau doesn’t believe the ladder goes far enough — especially as businesses reach to make better decisions based on big data analytics and data science. A business analytics consultant for Deloitte Nederland, Mongeau believes both the rigorous testing of models (what he calls diagnostics) and a better way to describe the meaning and context of projects to computers (what he calls semantic analysis) need to be built into the three rungs if data analytics is going to help solve big problems. He argued that without the rigorous testing of analytical models and semantic analysis and a social network in which to share the theories behind analytical models — big data analytics will be susceptible to bias and, in the end, fail to help people make better decisions.” Read more

INSIGHT Centre Answers The Data Analytics Opportunity

rsz_insightpixEarlier this year, leading academics from well-known research centers in Ireland – the Digital Enterprise Research Institute (DERI), Clarity, Clique, 4C and TRIL – came together as part of the INSIGHT Centre for Data Analytics, with £42 million in government funding and £30 million in industry funding. With researchers based in a number of Ireland’s universities, including University College Dublin, Trinity College  Dublin, NUI Galway, NUIMaynooth, Dublin City University, and University College Cork, INSIGHT “is Ireland’s answer to the data analytics opportunity that exists now,” says funding director, Insight Galway, and DERI Director Stefan Decker.

Combining the different centers under one common brand is a way to build critical mass in the areas of Big Data and analytics, spanning categories including recommender systems, media and decision analytics, reasoning, personal sensing, connected health and discovery apps, and, of course, the semantic web and Linked Data, where DERI’s expertise lies, Decker notes. Industry partners are also a large part of the Centre, and will be able to avail themselves of the research expertise transitioning from the various research centers to INSIGHT. For example, the work DERI has been doing on W3C standards will continue under INSIGHT’s purview rather than DERI’s, Decker explains.

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Semantics, Unstructured Data, & Business Value

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Luca Scagliarini of Expert System recently wrote, “Semantic technology is able to understand a text in a way that emulates human comprehension of information… More importantly, it also comprehends conversational language and all its ambiguities (slang, abbreviations, multi-language text) to arrive at an understanding of not just words, but the user’s intention. A good example of this at work can be seen in the recent analysis that the social research firm Sociometra conducted using over 30,000 comments made on social media of tourist destinations (museums, monuments, etc.) and general comments about the city of Rome, Italy. The analysis showcases the technology’s power for analyzing unstructured text and its strength in establishing connections between not just words, but more importantly, concepts.” Read more

Stem is Trying to Make Buildings Smarter with Machine Learning

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Katie Fehrenbacher of GigaOM reports, “Here’s the basic idea behind startup Stem: install batteries at a building and use software to convert the building over to battery power (instead of using power from the grid) when energy from the power grid is expensive (like a hot Summer day). Large power companies seem to think it’s a good idea, and on Monday Stem announced that it’s raised $15 million from new investors including GE and Spanish power giant Iberdrola. Stem was founded back in 2009 as Powergetics and it rebranded as Stem last year. The company launched its first battery and analytics system with a hotel in San Francisco a year ago, and now they’re working on installing about a megawatt of systems across Hawaii.” Read more

Semantic Web Jobs: Qbase

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Qbase is looking for a Data Analytics/Modeling Engineer in Springfield, OH. The post states, “The Data Analytics/Modeling Analytics Engineer will play a key role on the Product Development Team to develop Qbase intellectual property and products in the Big Data and the geospatial integration space.  The role will contribute to a team that is developing new search, data mining and text analytics products within the geospatial domain as well as other domains using leading edge technologies. The Data Analytics/Modeling Analytics Engineer will join a dynamic team leveraging Qbase expertise in these areas.” Read more

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