Posts Tagged ‘Big Data’

Sentiment Mining for Real Time Insights on Twitter

 

syKalev Leetaru of Wired recently wrote, “For its flagship new reality show Opposite Worlds the Syfy channel wanted to let the audience ‘remote control’ the show via social media. I worked with Syfy to create what ultimately became its real-time ‘Twitter Popularity Index.’ The Index combines the intensity of conversation around each character, the number of unique discussants, and the emotion of that discussion using a new sentiment engine powered by over 1.6 million words, phrases and common misspellings and colloquial expressions. Using our Index, Opposite Worlds records across the board in Twitter engagement for a cable television series.” Read more

Big Data Startup Infinite Analytics Maps Your Social Genome

ia

Deepti Chaudhary of Forbes India recently wrote, “Founded in December 2012, Infinite Analytics is a cloud-based big data company that predicts consumer behaviour based on information shared by users on their social networking sites… Infinite Analytics analyses raw data, maps out a person’s social genome and then gives personalised recommendations to consumer brands that have an online presence. This information, which is collected without breaking privacy laws, allows a retailer to identify and recommend products that will appeal to a customer.” Read more

Additional Funding For Elasticsearch To Help Company Complement Its RealTime Search And Analytics Stack

elasticsearchlogoElasticsearch – whose Elasticsearch, Logstash and Kibana products for discovering and extracting insights from structured and unstructured data were discussed earlier this year here – has raised $70 million in Series C financing from New Enterprise Associates (NEA). Benchmark Capital and Index Ventures also participated in the round. That brings the total to $104 million over the past 18 months.

“Nearly all companies, start-ups and Fortune 500 enterprises alike, need to be able to slice and dice rapidly expanding data volumes in real time,” says Steven Schuurman, co-founder and CEO. The funding, Schuurman says, will be applied to enhancing sales, marketing and support personnel and efforts, as well as investing in development to build more complementary products that work with the ELK stack.

“Ultimately, this round of funding will help us get to our goal, faster, of making the ELK stack the de facto platform for businesses to gain actionable insights from their data,” he says.

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Sabre Launches New Developer Portal Improving Access to APIs, Semantic Searches

sabre

Ingrid Lunden of Tech Crunch reports, “A month into its new life as a public company, Sabre is unveiling some new services to raise its profile with developers in a bid to grow its business through third parties. Today the travel data company is launching a new portal, the Sabre Dev Studio, which gives access to some 150 APIs, testing tools, documentation, prototypes and sample code, as well as a new set of APIs focussed on e-commerce and semantic searches. The developer portal — with code mostly developed by Sabre itself, but with the portal built by Mashery — is a first for Sabre: The company says it will be the first time that it’s brought together a lot of these services into one accessible place.” Read more

New Supercomputer at Lawrence Livermore Available for Collaborative Research

catalyst

Donald B. Johnston of Phys.org reports, “Catalyst, a first-of-a-kind supercomputer at Lawrence Livermore National Laboratory (LLNL), is available to industry collaborators to test big data technologies, architectures and applications. Developed by a partnership of Cray, Intel and Lawrence Livermore, this Cray CS300 high performance computing (HPC) cluster is available for collaborative projects with industry through Livermore’s High Performance Computing Innovation Center (HPCIC). ‘Over the next decade, global data volume is forecasted to reach more than 35 zettabytes,’ (a zettabyte is a trillion gigabytes) said Fred Streitz, director of the HPCIC. ‘That enormous amount of unstructured data provides an opportunity. But how do we extract value and inform better decisions out of that wealth of raw information?’ ” Read more

Why Graph Theory is Key to Understanding Big Data

Google

Emil Eifrem of Neo4j recently wrote, “Dr. Roy Marsten wrote in in March that Graph Theory was a key approach in understanding and leveraging big data. As a advocate of graph theory and as a developer building graph databases since 2003, it was wonderful to read someone else with similar insights and appetites. As Dr. Marsten notes, Google started the graph analysis trend in the modern era using links between documents on the Web to understand their semantic context. As a result, Google produced a Web search engine that massively outperformed its established competitors and saw it jump so far ahead that ‘to Google’ became a verb. Of course we know very well Google’s history since then: its graph-centric approach has seen it deliver innovation at scale and dominate not only in its core search market, but also across the information management space.” Read more

Search, Content Analytics, Structured Data Management Have Hand In Growth Of WorldWide Software Market

idcchartIDC this week released the latest results from its Worldwide Semiannual Software Tracker, which provides total market size and vendor share for all software technology areas. In 2013, the tracker reports, the worldwide software market grew 5.5 percent year over year to a total market size of $369 billion.

None of the three primary segments that comprise the total software market in IDC’s software taxonomy – Applications; Application Development & Deployment (AD&D); and Systems Infrastructure software – had a standout performance, it says.

But function-specific types of software in these primary segments did. Among these headline acts, the Content Applications subset of the Applications primary market segment had year-over-year growth rates above 10 percent. That market, IDC says, is driven by Search and Content Analytics applications, which grew at 13.2 percent year over year. The Big Data and analytics adoption trend was largely responsible for this market growth, it says.

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Nara Logics Bringing Its Personalized Recommendations to Europe

nara

Teresa Novellino of Upstart reports, “Nara Logics, the Cambridge, Massachusetts-based startup, announced today that it is bringing its technology nationwide in the United States and to 20 cities in Europe, where users can now get personalized recommendations on restaurants and hotels both on the Web and via mobile apps on their smartphones. Founded in 2010 by serial entrepreneur Thomas Copeman and built by MIT neuro- and computer scientist Nathan Wilson, Nara uses a brain-like learning algorithm, or artificial intelligence, to deliver the restaurant and hotel recommendations for specific users. It has trademarked the name of this ability as ‘Digital DNA,’ and the idea behind it is to cut through the irrelevant search results and go straight to the results that perfectly fit the user’s tastes.” Read more

Gartner Uncovers Who’s Cool In The Supply Chain

Photo courtesy: Flickr/a loves dc

Photo courtesy: Flickr/a loves dc

Gartner recently released its report dubbed, “Cool Vendors in Supply Chain Services,” which gives kudos to providers that use cloud computing as an enabler or delivery mechanism for capabilities that help enterprises to better manage their supply chains.

On that list of vendors building cloud solutions and leveraging big data and analytics to optimize the supply chain is startup Elementum, which The Semantic Web Blog initially covered here and which envisions the supply chain as a complex graph of connections. As we reported previously, Elementum’s back-end is based on a real-time Java, MongoDB NoSQL document database and flexible schema graph database to store and map the nodes and edges of a supply chain graph. A URI is used for identifying data resources and metadata, and a federated platform query language makes it possible to access multiple types of data using that URI, regardless of what type of database it is stored in. Mobile apps provide end users access to managing transportation networks, respond to supply chain risks, and monitor the health of the supply chain.

Gartner analyst Michael Dominy writes in the report that Elementum earns its cool designation in part for its exploitation of Gartner’s Nexus of Forces, which the research firm describes as the convergence and mutual reinforcement of social, mobility, cloud and information patterns that drive new business scenarios.

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RPI President Calls for Improved Data Analytics, Connectivity

RPI

According to a recent article out of RPI, “Universities must make new and innovative connections to harness the full power and potential of this data-driven era, Rensselaer Polytechnic Institute President Shirley Ann Jackson said [Tuesday] in a keynote address at the Internet2 Global Summit in Denver, Colorado. Deriving ‘insights from the massive amounts of web-based data that humanity is producing about itself, during the ordinary course of every day…. may be the greatest intellectual challenge and opportunity we all face in academic life,’ President Jackson told the gathering of academic, business, and government leaders in the arena of information technology. ‘Today, we analyze less than 1 percent of the data we capture, even though the answers to many of the great global challenges lie within this overabundant natural resource,’ Jackson said. The challenge, she notes, is finding new ways to address the volume, velocity, variety, and veracity of the data.” Read more

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