Posts Tagged ‘Big Data’

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

Get a Grip on Big Data with ‘Content Intelligence’

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Jeremy Bentley of KMWorld recently wrote, “The age of the Internet has made us accustomed to having all the information we could want readily available at our fingertips – quite literally so, thanks to laptops, tablets, smartphones and other devices… Unfortunately, we rarely experience the same level of data accessibility in our workplaces, where internal information assets can be massive and hugely complex—and not at all easy to access search with the pinpoint precision that is usually required to find a very specific document or piece of content. Addressing this challenge should be high on the priorities list of any organization aiming to extract value efficiently from unstructured content. But it is proving to be no easy task.” Read more

Machine Learning’s Future: Fortune 500 Buys In, Manufacturing Sees The Light

STServerMartin Hack, CEO and co-founder of machine learning company Skytree, has a prediction to make: “In the next three to five years we will see a machine learning system in every Fortune 500 company.” In fact, he says, it’s already happening, and not just among the high-tech companies in that ranking but also among the “bread and butter” enterprises.

“They know they need advanced analytics to get ahead in the game or stay competitive,” Hack says. For that, he says, they need machine learning algorithms for analyzing their Big Data sets, and they need to be able to deploy them quickly and easily — even if those who will be doing the deployments are coming from at best a background of basic analytics and business intelligence.

“There just aren’t enough data scientists to go around,” he says. It’s very tough to fill those roles in most companies, he says, “so like it or not, we have to make it much, much easier for people to digest and use this.”

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Machine Learning: Why It Matters

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Martin Hack of Wired recently wrote, “When Amazon recommends a book you would like, Google predicts that you should leave now to get to your meeting on time, and Pandora magically creates your ideal playlist, these are examples of machine learning over a Big Data stream. With Big Data projected to drive enterprise IT spending to $242 Billion according to Gartner, Big Data is here to stay, and as a result, more businesses of every size are getting into the game. To many enterprise organizations Big Data represents a strategic asset — it reflects the aggregate experience of the organization. Each customer, partner, or supplier response or non-response, transaction, defection, credit default, and complaint provides the enterprise the experience from which to learn.” Read more

Bringing Connectivity to Your Data with Semantic Tech

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Last week, David Amerland of Forbes wrote, “At the heart of the semantic Web is connectivity. The key is the ability of one set of data to be connected to a different set of data—with fresh meaning arising from the connection. If that sounds like a souped-up version of the word-association game, you might ask, ‘So what?’ The value lies in the clarity of the picture that emerges… Consider that the BYOD trend that’s underway requires the development of trust inside the organization. Trust is needed not just as part of the natural evolution of the internal structure of the enterprise, but also for it to respond better and faster to marketplace events that can wrong-foot it. In other words, no business can expect to survive if it remains the same.” Read more

Let Your Enterprise Graph Tell You A Story

entgrafEvery picture tells a story, don’t it? Well, turns out that’s true in the enterprise as much as on our Facebook pages. In this case, the picture is the enterprise graph of the workforce – who interacts with whom, when, in what context. And the story is what the patterns of interactions revealed by the graph may say about employee engagement, influence, and how to better leverage all that to the business’ – and the employees’ — benefit.

When Marie Wallace, IBM analytics strategist, looks at social and collaborative networks and other sources of enterprise communications and channels for business processes, such as CRM systems, “I am interested in the narrative,” she told an audience at the Sentiment Analytics Symposium earlier this month. “There is a lot of information in CRM systems – who met with whom, what industry the client is in, what products were presented. All this is valuable and contributes to the enterprise graph.”

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DataRPM Secures $5.1 Million in Series A to Advance Cognitive BI Platform

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FAIRFAX, Va.–(BUSINESS WIRE)–DataRPM, the industry pioneer in cognitive business intelligence, today announced that it has closed a $5.1 million Series A funding round. Led by InterWest Partners and joined by CIT GAP Funds, the round will be used to accelerate DataRPM’s global go-to-market strategy. DataRPM changes the way individuals work with data, making analytics more accessible and easier to use by solving the two main barriers to the adoption of data analysis – time consuming data modeling and usability. The DataRPM business intelligence (BI) platform removes those barriers, automating the data modeling process and employing a natural language question-and-answer interface to simplify data analysis and visualization. Read more

Semantic Web Jobs: Orbis Technologies

Orbis

Orbis Technologies is looking for a Senior Software Engineer in Annapolis, MD. The post states, “Bring your Software Development life cycle and management talents to lead big data cloud integration projects! Orbis Technologies will provides our employees a unique opportunity to collaborate within a small company environment and use tools and technologies that include open source development predominantly in Java, cloud computing including the use of Hadoop, Accumulo, CloudBase, HBase, and core semantic web technologies. Serves as technical domain expert and/or project lead: contributes to project phases from development through implementation of advanced web technology solutions for commercial and government clients.  Projects include integration of Open Source software with developed web services to create custom solutions for our clients.” Read more

Is A Knowledge Graph-Related Acquisition In Yahoo’s Future?

sdtechIs SindiceTech about to be acquired by Yahoo? Just last month The Semantic Web Blog reported on the formal relaunch of the company’s activities following the finalization of its separation from its university incubation setting at the former DERI institute in Ireland. Now, according to the Sunday Independent, Yahoo – which the article says had originally planned on buying the company late last year but saw negotiations collapse – may resume talks on the matter.

Yahoo, the article says, “refused to comment on the Sindice-Tech deal, calling it as ‘rumour and speculation.’” SindiceTech CEO Giovanni Tummarello also says that he cannot comment on this. He did note, however, that media, search and advertising are prime sectors for employing Knowledge Graphs. “In scenarios where there is much more (semi-structured) information than one knows how to leverage right away, Big Data graph-like knowledge management and moving from search to relational and entity search is a common theme these days,” he wrote in an email to The Semantic Web Blog.

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Twelvefold Introduces Spectrum for Video: Real-Time URL-Level Video Ad Placements Across All Screens

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San Francisco, Calif. (March 6, 2014) – Twelvefold, a big data company that targets audiences in real time without the use of cookies, today announced Spectrum for Video. Spectrum for Video delivers the most relevant video ad placements based on the influence, authority and emotional connection a piece of content creates with its reader. With more than 700 million individual videos from more than 5,000 sources, Twelvefold has culled and indexed the best of the web, including a mix of spot lengths. Read more

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