Greg MacSweeney of Wall Street and Tech recently wrote, “It’s relatively easy to find information on public companies. Bloomberg, Thomson Reuters, and Dun & Bradstreet, for example, all have in-depth information that is accessible to anyone with a subscription. But where do investment bankers, venture capitalists, and other investors find reliable information about private companies? If you talk to investment bankers, or other investors who are looking for information on non-public companies, it quickly becomes apparent there is no easy answer. Investment bankers rely mostly on Google searches and a combination of information gathered from Hoovers, S&P Capital IQ, Dun & Bradstreet, and others. But it is a laborious manual process to do due diligence on private companies.” 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.
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.”
Data-Intensive Businesses Turn to Infobright to Transform Machine-Generated Data into Business Improvements
TORONTO–(BUSINESS WIRE)–Infobright, the database analytics platform for the Internet of Things (IoT), today announced that Rez-1, Smart 421, and PayPoint, three data-heavy businesses in the financial services, logistics and transportation industries, selected Infobright’s Enterprise Edition to transform their machine-generated data into business insights. The Infobright analytic database platform enables customers to interrogate machine and IoT generated data to quickly identify the patterns that drive smarter business decisions. Read more
Jorge Garcia of Wired recently wrote, “IBM’s recent announcements of three new services based in Watson technology make it clear that there is pressure in the enterprise software space to incorporate new technologies, both in hardware and software, in order to keep pace with modern business. It seems we are approaching another turning point in technology where many concepts that were previously limited to academic research or very narrow industry niches are now being considered for mainstream enterprise software applications. Machine learning, along with many other disciplines within the field of artificial intelligence and cognitive systems, is gaining popularity, and it may in the not so distant future have a colossal impact on the software industry. This first part of my series on machine learning explores some basic concepts of the discipline and its potential for transforming the business intelligence and analytics space.” Read more
July 7, 2014 – Wolters Kluwer Health, a leading global provider of information for healthcare professionals and students, announced today that Holy Name Medical Center (HNMC) has selected Health Language® to improve problem and diagnosis searches within its electronic health record (EHR). HNMC will use the Health Language Workflow-Enhancing Search solution to support encoding its problem lists in SNOMED-CT® for Stage 2 Meaningful Use and the transition to ICD-10. Read more
CAMBRIDGE, England and BOSTON, June 19, 2014 /PRNewswire/ — Today, Linguamatics launches I2E Semantic Enrichment to provide increased return on investment in enterprise search systems and radically improve speed to insight. I2E Semantic Enrichment is used within an existing enterprise search deployment to enrich the current data, make it more discoverable and provide more relevant search results. The software scans millions of documents to identify and mark-up semantic entities such as genes, drugs, diseases, organizations, authors and other relevant concepts and relationships. Enterprise search engines consume this enriched metadata to provide a faster, more effective search for users. Read more
LightReading reports, “Ontology Systems, the semantic search company for enterprise application data, today announces the launch of Intelligent 360 for Network Operators (i360-NetOps), a product to help operators gain a reliable, fast and holistic view of their network across all layers, technologies and vendors. i360-NetOps helps organisations to carry out network troubleshooting, navigate their infrastructure and the customers that depend on it, handle their change management and track the alignment and quality of the data that describes the network and its services.” Read more
Paxata Named a Cool Vendor In Gartner’s Cool Vendors for Data Integration and Data Quality, 2014 Report
REDWOOD CITY, Calif.–(BUSINESS WIRE)– Paxata, pioneers of the first Adaptive Data Preparation™ platform that rapidly connects, explores, transforms and combines data, today announced that it has been recognized by Gartner as one of three Cool Vendors in Data Integration and Data Quality. Each year, Gartner publishes a series of research reports in key technology areas that highlight interesting, new and innovative vendors, products and services. Paxata delivers a cloud-based, self-service environment for data integration, transformation, quality, enrichment and governance, purpose-built for business analysts. For the full report, click here. Read more
Real-time semantic enterprise application integration – that’s what SmartAlex agent technology from EnterpriseWeb has in store for businesses.
With SmartAlex, a component of its EnterpriseWeb model-driven app development platform, “the consumer asks the agent to figure out what needs to happen and it happens in realtime,” according to Jason Bloomberg, the company’s chief evangelist. “It gives you a level of dynamic capability that traditional integration environments – whether application or data – can’t rise to.”
Why that’s a problem: “Business is a big mess. People are talking, interacting, and concepts are changing,” he noted during a presentation at this week’s Data Summit conference. “How data is structured is in a fluctuating state, so a simple representation of business context in a static data model doesn’t meet our needs.”
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