App Orchid Inc recently announced the industry’s first Cognitive Computing app builder. The announcement states, “Emerging from stealth mode, AppOrchid Inc. announced today its disruptive new technology for developing cognitive apps that targets the multi-billion dollar “Internet of Everything” (IoE) market. “The future for enterprise computing lies in intelligent or cognitive apps. In this new “Internet of everything” world, connected devices, social data and massive volumes of free form documents integrate with enterprise applications in real-time. AppOrchid’s groundbreaking products employ Big Data technology and a scalable Knowledge graph model powered with intelligent natural language processing. The end result is human-like intelligence, with a gamified user experience spanning conventional, handheld and wearable devices. This is a watershed moment in Enterprise computing”, said Krishna Kumar, Founder and CEO of AppOrchid Inc.”
Extract, Transform, and Load (ETL) and the business problem ETL solves — Data Integration — are complex to say the least. As the team at Cambridge Semantics points out:
Data integration and data on-boarding are time-consuming, manual, costly & error-prone processes.
- Complex integrations require developing a large number of point-to-point source-target mappings.
- Each mapping must be jointly developed by experts in all involved systems before being handed off to a team of ETL developers.
- Each hand-off increases both the time it takes to complete the integration and also the risk of errors as requirements are misunderstood or not fully validated.
- The lineage and meaning of data are often lost in the process, limiting the trustworthiness and utility of the data.
Cambridge Semantics today announced the launch of its Anzo Smart Data Integration (ASDI) software to help enterprises rapidly understand and integrate information assets. Described as a “design time tool for business analysts,” ASDI is “designed to reduce integration time frames and costs by 10X and enhance time-to-revenue when on-boarding new customers, partners and data,” according to the official announcement.
Mari Silbey of Light Reading reports, “Just two months after acquiring Veveo for $62 million in cash, Rovi has launched a new Personalized Discovery Solution combining its own entertainment metadata with Veveo’s voice-enabled semantic search technology. The solution for pay-TV operators offers predictive search and a content recommendation platform. Rovi’s metadata supplies contextual program information, while Veveo’s machine-learning technology — also called its ‘Knowledge Graph’ — adapts to a viewer’s behavior over time to refine and personalize the user interface experience. Rovi Corp. is also including Conversation Services in its new search-and-recommendation engine. Built by Veveo Inc. , this technology enables an interactive dialog between users and the on-screen program guide. Veveo Chief Marketing Officer Samrat Vasisht once described the service as ‘Siri for your TV,’ referring to Apple Inc. ‘s voice recognition software.” Read more
WASHINGTON and NEW YORK, February 3, 2014 /PRNewswire/ — TEMIS, the leading provider of Semantic Content Enrichment solutions for the Enterprise, today announced that Luxid® Navigator -Biopharma Edition was awarded the 2014 CODiE Award for Best Science and Technology Information Solution by the Software & Information Industry Association (SIIA), the principal trade association for the software and digital content industries. CODiEs Winners represent the information industry’s best products, technologies, and services created by or for media, publishers, and information services providers. Read more
SAN JUAN CAPISTRANO, CA–(Marketwired – Jan 28, 2014) - Predixion Software, a developer of collaborative predictive analytics software solutions, today announced it is providing academic institutions with the free use of its advanced analytics software and related training materials for students and teachers of data science. The Predixion in the Classroom (PIC) program provides future data analysts with hands-on experience building predictive models and extracting valuable insights from large data sets. The PIC program is intended to address the extreme shortage of data scientists, which will grow more severe in coming years as organizations increasingly rely on big data and predictive analytics to guide decisions and improve operations. Academic institutions such as the University of Washington, University of Western Michigan, St. Joseph University, and the University of Maryland University College (UMUC) are already taking advantage of the program to help their students gain the essential skills required for data analysis. Read more
Washington, DC – January 21, 2014 – The new release (2.1) of Stardog, a leading RDF database, hits new scalability heights with a 50-fold increase over previous versions. Using commodity server hardware at the $10,000 price point, Stardog can manage, query, search, and reason over datasets as large as 50B RDF triples.
The new scalability increases put Stardog into contention for the largest semantic technology, linked data, and other graph data enterprise projects. Stardog’s unique feature set, including reasoning and integrity constraint validation, at large scale means it will increasingly serve as the basis for complex software projects.
“We’re really happy about the new scalability of Stardog,” says Mike Grove, Clark & Parsia’s Chief Software Architect, “which makes us competitive with a handful of top graph database systems. And our feature set is unmatched by any of them.”
The new scalability work required software engineering to remove garbage collection pauses during query evaluation, which the 2.1 release also accomplishes. Along with a new hot backup capability, Stardog is more mature and production-capable than ever before.
Nathan Ingraham of The Verge reports, “Google has just purchased Nest Labs, the maker of the Nest Learning Thermostat and Protect smoke detector, for $3.2 billion in cash. According to a Google press release, Nest will continue to operate independently under the leadership of co-founder and CEO Tony Fadell; co-founder Matt Rogers will also make the move to Google. While the transaction is subject to the usual regulatory review, Google says it expects the sale to close within the next few months. Google Ventures had already invested over $100 million in Nest, so the company has been on Mountain View’s radar for some time now. It’s not yet clear exactly how Google plans to use Nest, but the company obviously sees it as an important part of its future. A combination of Nest’s home solutions coupled with Google’s language recognition could give Google its strongest path yet into your home.” Read more
MENLO PARK, Calif. — November 21, 2013 — Today Desti, a top 10 travel app in the Apple App Store, announces a suite of new features for its marquee iPad application that makes planning trips, far and near, easier than ever before.
Desti has expanded its app to make planning road trips visual and painless, save and search vacation rentals, as well as allow users to connect with friends to organize trips together and log their travel history. This smart travel app provides a unique travel planning experience that cuts organizing time in half by aggregating any information travelers could want about a location, restaurant or activity all in one place, and making it easily searchable. Read more
This week marked the public launch of seevl.fm.
SemanticWeb.com has tracked seevl’s development through various incarnations, including a YouTube plugin and as a service for users of Deezer (available as a Deezer app). This week’s development, however, sees the service emerge as a stand-alone, cross-browser, cross-platform, mobile-ready service; a service that is free and allows for unlimited search and discovery. So, what can one do with seevl?
Following the death of Lou Reed this week, I (not surprisingly) saw mentions of the artist skyrocket across my social networks. People were sharing memories and seeking information — album and song titles, lyrics, biographies, who influenced Reed, who Reed influenced, and a lot of people simply wanted to listen to Reed’s music. A quick look at the seevl.fm listing for Lou Reed shows a wealth of information including a music player pre-populated with some of the artist’s greatest hits.
Dan Woods of Forbes reports, “After operating in a controlled, stealth beta for an unusually long time, ClearStory Data opened the curtain on its ‘Data Intelligence’ product on Monday, illustrating two powerful lessons that will present a challenge to both big data and BI vendors alike. ClearStory makes use of semantic models to understand the contents of each data source and of domain specific languages and APIs to allow tremendous flexibility in both transforming data and in supporting collaboration. Before addressing how these two techniques perform some usability magic tricks, it is worth pointing out one of the reasons that the stealth mode was so lengthy.” Read more
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