Posts Tagged ‘analytics’

Metreeca Offers Easier Interaction With Semantic Knowledge Bases

griverAccessing an enterprise’s semantic knowledge base has its challenges for the business’ general population. Perhaps development teams already have integrated specific SPARQL queries inside a customer app or custom dashboard or otherwise accommodated some very task-oriented activities and searches, but that has its limits for non-technical users who want to explore outside the box. All the same, these users aren’t likely to write new SPARQL queries on their own — but nor do they necessarily want to wait for their IT departments to pull that together for them. Interactive query builders are options but some may find these still a little too-technically oriented.

This is a problem that Metreeca is looking to solve with Graph Rover, a self-service search and analysis tool that enables non technical users to interact visually with semantic knowledge bases. It has just released the latest beta update of the product, which lets users build queries using a graphical interface, but Graph Rover has been in development for two years while the company was in stealth mode, and tech lead Alessandro Bollini says it is already a mature solution that should be available commercially in the first quarter of 2015.

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WEBINAR: Using Semantic Technology to Drive Agile Analytics

Webinar Title: Using Semantic Technology to Drive Agile AnalyticsIn case you missed the outstanding webinar, “Using Semantic Technology to Drive Agile Analytics” delivered earlier this week by David Read and Scott Van Buren of Blue Slate Solutions, the recording and slides are now available (and posted below). The webinar was co-produced by SemanticWeb.com and DATAVERSITY.net and runs for one hour, including a Q&A session with the audience that attended the live broadcast.

The presenters will also deliver a half-day tutorial at the upcoming Semantic Technology & Business Conference: “Integrating Data Using Semantic Technology.” Registration for the conference is now open.

If you watch, please use the comments section below to leave your questions, comments, and ideas for webinars you would like to see in the future.

About the Webinar

How do you accelerate data warehousing to meet the demands of the data-driven economy? Semantic technology provides an agile platform to bring data together, focus on data that matters and ultimately derive a target data model that can be easily extended. This webinar will present a semantically-based data federation case study and highlight the semantic components that facilitate agile data federation in the enterprise.

(Presentation Video and Slides after the jump…)
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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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WEBINAR: Using Semantic Technology to Drive Agile Analytics

DATE: May 14, 2014
TIME: 2 PM Eastern / 11 AM Pacific
PRICE: Free to all attendees

This webinar has passed. A recording of the webinar will be made available On Demand within two US business days.

 

About the Webinar

How do you accelerate data warehousing to meet the demands of the data-driven economy? Semantic technology provides an agile platform to bring data together, focus on data that matters and ultimately derive a target data model that can be easily extended. This webinar will present a semantically-based data federation case study and highlight the semantic components that facilitate agile data federation in the enterprise.

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Declara Individualizes Large-Scale Learning

coggraphLearning at large-scale. That’s the work Declara is undertaking with its CognitiveGraph platform that leverages semantic search, social platforms and predictive analytics to build context-specific learning pathways for the individuals involved in mass learning efforts. Think, for example, of teachers in a country working to re-educate all its educators, or retail and manufacturing workers in parts of the world who need new skill sets because machines have taken on the work these people used to do.

Adults don’t have the luxury of just being focused on learning, so “we try to help them learn more effectively and quickly, using the CognitiveGraph as a way of knowing where to start from and how to get them to positive outcomes faster,” says co-founder and CEO Ramona Pierson. Its intelligent learning platform will determine what mentors and information exist within a closed private network or on the Web relative to supporting a user’s learning needs; what of all that will be the best fit for a particular user; and then match that learner to the best pathway to acquire the new skills. Among the technologies Declara is leveraging is Elasticsearch (which the Semantic Web Blog discussed most recently here) realtime search and analytics capabilities to turn data into insights.

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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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SNAP To It: Dell Proposes Way Of Seeing Returns On Social Media Investments

shreeAre you seeing a return on your investment in social media? When the question about whether such returns exist was put to the audience at the recent Sentiment Analytics Symposium by Shree Dandekar, Dell Software’s chief strategist and senior director of BI and analytics, only a few hands went up. But Dandekar explained that it’s more possible to realize returns than many people may believe.

Dell’s Social Net Advocacy Pulse, or SNAP, tool and program is designed to help drive those returns. “Social ROI is not a myth but a reality,” Dandekar said. “It starts with a social media strategy and text analytics is a crucial underpinning of that journey,” which takes a company from social media listening and monitoring, to capturing and aggregating data from that, to engaging on and deriving insights from social media, to bringing that information into context with enterprise data for better lead- and opportunities-tracking. Dell is an in-house user of SNAP, bringing in 25,000 to 30,000 conversations a day for dell, he noted, and it runs a Social Media Command Center for facilitating listening to those conversations.  (It also helps customers implement their own Command Centers.)

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Wise.io Raises $2.5 Million to Bring Machine Learning to Customer Experience

wise

BERKELEY, CA–(Marketwired – Mar 17, 2014) –  Wise.io today announced that it has raised $2.5 million in Series A funding led by Voyager Capital and named predictive analytics technology industry veteran Jeff Erhardt as CEO. Company co-founder Joshua Bloom will assume a new role as CTO leading the technology direction for Wise.io.

 

Machine Learning is unquestionably the future of advanced analytics for the enterprise. When I first met Wise.io, I was struck by the caliber of the team and the unequaled performance of their core technology,” said Daniel Ahn, managing director at Voyager Capital who joined the Wise.io board as part of the transaction. “Ultimately, what distinguished Wise.io from the other vendors and compelled us to invest was their focus on providing a complete turnkey product that was easily accessible to business users.” Read more

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

12f

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

Hello 2014 (Part 2)

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Courtesy: Flickr/faul

Picking up from where we left off yesterday, we continue exploring where 2014 may take us in the world of semantics, Linked and Smart Data, content analytics, and so much more.

Marco Neumann, CEO and co-founder, KONA and director, Lotico: On the technology side I am personally looking forward to make use of the new RDF1.1 implementations and the new SPARQL end-point deployment solutions in 2014 The Semantic Web idea is here to stay, though you might call it by a different name (again) in 2014.

Bill Roberts, CEO, Swirrl:   Looking forward to 2014, I see a growing use of Linked Data in open data ‘production’ systems, as opposed to proofs of concept, pilots and test systems.  I expect good progress on taking Linked Data out of the hands of specialists to be used by a broader group of data users.

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