Derrick Harris of GigaOM reports, “When it comes to the future of web content… Yahoo might just have the inside track on innovation. I spoke recently with Ron Brachman, the head of Yahoo Labs, who’s now managing a team of 250 (and growing) researchers around the world. They’re experts in fields such as computational advertising, personalization and human-computer interaction, and they’re all focused on the company’s driving mission of putting the right content in front of the right people at the right time. However, Yahoo Labs’ biggest focus appears to be on machine learning, a discipline that can easily touch nearly every part of a data-driven company like Yahoo. Labs now has a dedicated machine learning group based in New York; some are working on what Brachman calls ‘hardcore science and some theory,’ while others are building a platform that will open up machine learning capabilities across Yahoo’s employee base.” Read more
Semantic data integration vendor TopQuadrant’s TopBraid Suite 4.5 just hit the street, a major release that CMO and VP of Professional Services Robert Coyne says “provides a large number of new and enhanced capabilities driven primarily by customers who are using our TopBraid Enterprise Vocabulary Net solution for vocabulary and/or metadata management, or using TopBraid Live to create a custom, model-driven solution.”
The latest version, he says, features more business user and enterprise readiness-motivated improvements than any past major release since Release 4.0, when the current generation of the TopBraid EVN product was first introduced. Many of the enhancements were inspired by requests coming from different customers using TopBraid in different contexts, he notes.
New capabilities in EVN range from improved configurability for the EVN Ontology Editor, via a form builder that allows browser window management and enables users to open multiple view forms, tree and chart windows, to an improved search form that makes it possible to search on cardinalities, regular expressions, aggregates in the search counts and chart results.
Also part of the upgrade is increased support for business stakeholders who need to collaborate on defining and linking enterprise vocabularies, taxonomies and metadata used for information sharing, data integration and search. Features like that reflect the fact that a growing number of enterprise customers and business users are looking to leverage products such as TopBraid EVN, Coyne says.
TORONTO, Aug. 20, 2014 /CNW/ – Flybits Inc., a Toronto start-up that has created a context-aware experience development platform for mobile environments, has closed a $3.75 million Series A financing. Led by Robert Bosch Venture Capital GmbH (RBVC) and Trellis Capital Corporation with participation from MaRS Investment Accelerator Fund and Ryerson Futures, Inc., the investment will advance the company’s product development and international growth in the United States and Europe.
Since spinning off from Ryerson University in 2012, Flybits has raised a total of $4.05 million to date, including a seed round from MaRS Innovation. Flybits technology has been used in developing smarter cities, connected stadiums, smart corporate campuses, shopping malls, conference venues and even fashion shows. The company also concurrently incubated its technology at the Ryerson Digital Media Zone in Toronto and Vodafone Xone in Redwood City, California. Read more
WASHINGTON, D.C. – SYSTAP, LLC. today announced that Syapse, the leading provider of software for enabling precision medicine, has selected Bigdata® as its backend semantic database. Syapse, which launched the Precision Medicine Data Platform in 2011, will use the Bigdata® database as a key element of their semantic platform. The Syapse Precision Medicine Data Platform integrates medical data, omics data, and biomedical knowledge for use in the clinic. Syapse software is delivered as a cloud-based SaaS, enabling access from anywhere with an internet connection, regular software updates and new features, and online collaboration and delivery of results, with minimal IT resources required. Syapse applications comply with HIPAA/HITECH, and data in the Syapse platform are protected according to industry standards.
Syapse’s Precision Medicine Data Platform features a semantic layer that provides powerful data modeling, query, and integration functionality. According to Syapse CTO and Co-Founder, Tony Loeser, Ph.D., “We have adopted SYSTAP’s graph database, Bigdata®, as our RDF store. Bigdata’s exceptional scalability, query performance, and high-availability architecture make it an enterprise-class foundation for our semantic technology stack.”
This month saw the release of the Information Governance Initiative’s Annual Report for 2014, a study aiming to report the perceptions of information governance practitioners, providers and analysts as well as advance information governance as a concept, market and operational model.
The IGI consortium and think tank was founded by leaders in the information governance field and supported by vendors with semantic tech and text analytics backgrounds, including Equivio, HP/Autonomy, OpenText, Recommind and Zylab. About 500 respondents provided input to the survey.
About 80 percent of these respondents agreed that IG included risk- and value-focused activities, with the focus, however, on risk prevention, with efforts such as records information and management, information security and compliance as the top-marked concepts. That said, more than 50 percent of respondents in each case include among IG’s facets big data, business intelligence, and data science – and IGI believes that the value side will continue to grow, given the significant recent advancements in data analytics and their continuing spread through the enterprise. Given how far IG’s facets extend, “IG should serve as the coordinating function for all of these activities, tying them together into one humming, efficiently functioning operation.”
Jonathan Vanian of GigaOM reports, “EverString, a big data startup that helps companies identify prospective sales leads and new clients though predictive analytics, has raised $12 million in a series A funding round. Lightspeed Venture Partners led the round, which also included existing investors Sequoia Capital and IDG Ventures. While there are a host of marketing analytics services in the market like Silverpop and Eloqua that businesses use to aggregate numerous sales leads and find potential customers, EverString’s technology goes beyond whatever data is hosted internally within a company and branches out to the open web, explained EverString’s co-founder and CEO, Vincent Yang.” Read more
Mark Langshaw of Digital Spy reports, “Google has acquired the company behind Emu, a messaging app that doubles as a personal assistant. The existing application, which was for iPhone only, will be pulled from the App Store later this month.’As of August 25, 2014, we’ll be shutting down the Emu app. It will no longer be available in the App Store, and existing users won’t be able to send, receive, or download messages. We know it’s an inconvenience, and we regret that,’ said the firm in a statement. Emu uses intelligent learning and natural language processing to present the user with relevant information in real-time, and can be integrated with other services.” Read more
Deborah Gage of The Wall Street Journal reports, “Making big data stores as easy to search as Internet data has been a holy grail for the software industry, and it’s become a more pressing problem since the growth of the big data software Hadoop, which holds enormous amounts of data. Adatao Inc., a startup based in Sunnyvale, Calif., has raised nearly $13 million in Series A funding led by Andreessen Horowitz to take on the challenge. Founded in 2012 by veterans of Google Inc., Yahoo Inc. and the Army Research Lab, the company combines machine learning, natural language processing and in-memory (i.e. fast) computing to create a system in which users can write queries in ordinary English or one of several computer languages-—Smart Query, SQL, Scala, Java, Python or R–and get results in less time than it takes to speak their questions.” Read more
Chloe Green of Information Age recently wrote, “Handling immense data sets requires a combination of scientific and technological skills to determine how data is stored, searched and accessed. In science, the importance of data scientists in ensuring that data is handled correctly from the outset is not underestimated; other industries can learn from the scientific approach. Text-mining tools and the use of relevant taxonomies are essential. If we think about big data as a huge number of data points in some multi-dimensional space, the problem is one of analysis, i.e. frequently finding very similar or very dissimilar points which cannot be compared. In life sciences, taxonomies assign data points a class, thus comparison of two points is as easy as looking up other data points in the same class.” Read more
Dana Gardner of CRM Buyer recently wrote, “The power of Big Data technology is being successfully applied to understanding such complex unknowns as consumer sentiment and even intent. That understanding then vastly improves how retailers and myriad service providers manage their users’ experiences — increasingly in real time. Fortunately, today’s consumers are quite willing to share their intents and sentiments via social media, if you can gather and process the information. Hence the rapidly developing field of social customer relationship management, or Social CRM.” Read more