SAN JOSE, CA–(Marketwired – Nov 12, 2014) – Elastica (www.elastica.net), the leader in Data Science Powered™ Cloud Application Security, today launched its ContentIQ™ technology for Box Securlet™ (http://www.elastica.net/box/). ContentIQ™ uses advanced semantic analysis engines to automatically classify and categorize a wide range of content stored in Box, enabling granular controls for security and compliance. ContentIQ™ is now shipping as part of Elastica’s Box Securlet™ and is available in the Box Marketplace. Read more
Bob DuCharme recently wrote, “The combination of microdata and schema.org seems to have hit a sweet spot that has helped both to get a lot of traction. I’ve been learning more about microdata recently, but even before I did, I found that the W3C’s Microdata to RDF Distiller written by Ivan Herman would convert microdata stored in web pages into RDF triples, making it possible to query this data with SPARQL. With major retailers such as Walmart and BestBuy making such data available on—as far as I can tell—every single product’s web page, this makes some interesting queries possible to compare prices and other information from the two vendors.” Read more
There’s a whole lot of customer information out there, including the verbatim comments companies record as part of customer call center surveys or other voice-based interactions. At Verizon Wireless, for example, more than 190 million customers call in daily, weekly and monthly, and sound bites from them during after-call surveys, each a few seconds long, added up to about a ton of data that wasn’t being factored into its customer analytics efforts.
“We had the information, the WAV files, but we couldn’t analyze them with the same lens and same tools” Verizon was bringing to the text – emails, social media, surveys, and so on – commentary from its customers, according to Lorraine Schumacher, Director of Operations Customer Business Intelligence at Verizon, during a recent webinar hosted by customer experience management vendor Clarabridge. Verizon had been using Clarabridge’s technology to monitor its various listening posts to drive strategic business decisions based on analyzing text and sentiment in social media and other sources.
Now, it saw an opportunity to transcribe its WAV files of direct customer feedback so that the information in them could be processed and analyzed to support those same ends. Speech recognition and analytics vendor Voci Technologies partnered with Clarabridge to support those goals.
A9.com, an Amazon company, is looking for a Relevance Engineer in Palo Alto, CA. The post states, “Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, A9 Product Search services go to work. We design, develop, and deploy high performance, fault-tolerant distributed search systems used by millions of Amazon customers every day… We’re building out a new team that will drive Relevance projects for AIV (Amazon Instant Video). AIV is used by a massive audience on Amazon’s websites and through a variety of devices. This position will work across the search stack for the video domain to improve search quality and effectiveness. The improvements you make in this position will help millions of customers discover the best content in our catalog of hundreds of thousands of video titles worldwide.” Read more
In case you missed last Wednesday’s webinar, “The Yosemite Project – Part 3: Transformations for Integrating VA data with FHIR in RDF” delivered by Rafael Richards, 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.
If you watch this webinar, please use the comments section below to share your questions, comments, and ideas for webinars you would like to see in the future.
About the Webinar
In our series on The Yosemite Project, we explore RDF as a data standard for health data. In this installment, we hear from Rafael Richards, Physician Informatician, Office of Informatics and Analytics in the Veterans Health Administration (VHA), about “Transformations for Integrating VA data with FHIR in RDF.”
PALO ALTO, Calif.–(BUSINESS WIRE)–Eversight™, the leading provider of software designed to improve promotion effectiveness and make better use of trade promotion dollars, announces Eversight for Consumer Goods™, a cloud-based Offer Innovation solution that enables retailers and consumer goods manufacturers to try out thousands of different promotions with real shoppers on digital platforms. Micro-testing provides insights useful for informing the traditional in-store promotional calendar, which represents more than $300B in spending in the U.S. annually. Multiple top consumer goods manufacturers, including Unilever and BIC, currently use the solution.
Built on the Eversight Cloud platform, Eversight for Consumer Goods leverages recent advances in predictive analytics, machine learning, and data science to enable manufacturers to optimize in-store promotions by real-world-testing hundreds or thousands of different promotional offers. Read more
Mark Albertson of The Gospel Herald recently wrote, “Much of the conversation surrounding the cloud storage industry today is centered on managing the demands of big data. Yet the real story may well be how cloud technology vendors are moving to better search and organize the vast amount of data collected by Fortune 500 companies on a daily basis, and the potential problems this trend may cause for cloud storage firms such as Box or Dropbox. One of the companies at the front line of ‘smarter data’ as opposed to just ‘big data’ is MarkLogic, a database company based in San Carlos, California, who has been working with major global firms since 2001 to improve search and draw valuable meaning from the data being collected, a process often referred to as working within the semantic Web.” Read more
Siemens is looking for a Senior Research Scientist in Berkeley, CA. According to the post, “The Web of Things research group in Berkeley, California has an immediate opening for a full-time Senior Research Scientist position to work on R&D projects in applying semantic technologies to embedded system for enabling Internet of Things applications in industrial contexts. The candidate will have extensive knowledge and experience in semantic technologies (ontologies, rules), semantic web services, knowledge representation and reasoning formalisms (RDF/OWL). The ideal candidate will have awareness of the state-of-the-art, strong network in the semantic technologies research community and the ability to transfer semantic methods to embedded devices provide working solutions for commercial, scientific or industrial applications.” Read more
The EU co-funded consortium OpenCube, headed by the Centre for Research and Technology Hellas (CERTH), is presenting its first software deliverable: a range of open source software components that will help governments, organizations, companies and citizens to publish, visualize and analyze multidimensional data according to the RDF Data Cube Vocabulary standard. These components are now available online, both separately and bundled in the integrated OpenCube Toolkit. Read more
Part 1 of that series, “The Yosemite Project: An RDF Roadmap for Healthcare Information Interoperability,” is available as a recorded webinar and slide deck.
Part 2, “The Ideal Medium for Health Data? A Dive into Lab Tests,” is available as a recorded webinar and slide deck.
Part 3, “Transformations for Integrating VA data with FHIR in RDF,” is available as a recorded webinar and slide deck.
About Part 4:
TITLE: Achieving Clinical Knowledge Convergence and Interoperability
DATE: Friday, December 5, 2014
TIME: 2 PM Eastern / 11 AM Pacific
PRICE: Free to all attendees
DESCRIPTION: In our series on The Yosemite Project, we explore RDF as a data standard for health data. In this presentation, we will discuss with Claude Nanjo, a Software Architect at Cognitive Medical Systems, ways to expose clinical knowledge as OWL and RDF resources on the Web in order to promote greater convergence in the representation of health knowledge in the longer term. We will also explore how one might rally and coordinate the community to seed the Web with a core set of high-value resources and technologies that could greatly enhance health interoperability.