Redwood City, CA – July 8, 2014 – Attensity (@Attensity), the leading provider of corporate insight solutions based on proprietary data contextualization, today announced the issuance of US Patent No. 8,645,395 on unstructured data sentiment analysis. This patent was awarded to Biz360 Inc., a wholly owned subsidiary of Attensity Group, Inc., and adds to the nearly dozen that Attensity currently holds for analysis of unstructured data. Read more
Posts Tagged ‘semantic technology’
Marty Loughlin of Wall Street & Technology recently noted that in this era of “massive business and IT transformation,” organizations in the financial industry “will need to change how they track, manage, and consume data. For many organizations, this data is not easily accessible — it is distributed across the organization, often trapped in local business units, applications, data warehouses, spreadsheets, and documents. Traditional technologies are struggling to address this challenge and many believe a new approach is required. Some of the new big-data solutions do help. They are good at liberating and colocating data. However, they often struggle to make it usable. Creating a ‘data lake’ where rigid structure is not required can result in yet another silo of unusable data where context, meaning, and sources are lost. Many organizations are turning to semantic technology for the answer.” Read more
Kevin Casey of Information Week recently wrote, “Old-school organizations will fuel the next swell of data-driven initiatives in IT. So what’s in store for the early movers and, specifically, their big-data professionals? How will the data scientist and similar roles evolve? ‘The role is becoming bigger,’ said Olly Downs, chief scientist at big-data analytics firm Globys, in a recent interview. By bigger, he means in every way — what was once a niche is now, at least in some companies, a driving force.” Read more
James Kobielus of Info World recently shared his thoughts on the best definition for machine learning. He writes, “Increasingly, the term ‘machine learning’ is… beginning to acquire a catch-all status. Or, at the very least, machine learning has become a convenient handle that today’s data scientists use to refer to the wide range of leading-edge techniques for automating knowledge and pattern discovery from fresh data, much of it unstructured. People’s working definitions of machine learning seem to be creeping into broader, vaguer territory. That’s my impression from reading the recent article “Learning and Teaching Machine Learning: A Personal Journey.” In it, author Joseph R. Barr of San Diego State University and True Bearing Analytics discusses both the history of machine learning and his own education in the topic. He states that ‘it’s safe to regard machine learning, data mining, predictive analysis, and advanced analytics as more or less synonymous’.” Read more
James Kobielus of InfoWorld recently wrote, “Machine-generated log data is the dark matter of the big data cosmos. It is generated at every layer, node, and component within distributed information technology ecosystems, including smartphones and Internet-of-things endpoints… Clearly, automation is key to finding insights within log data, especially as it all scales into big data territory. Automation can ensure that data collection, analytical processing, and rule- and event-driven responses to what the data reveals are executed as rapidly as the data flows. Key enablers for scalable log-analysis automation include machine-data integration middleware, business rules management systems, semantic analysis, stream computing platforms, and machine-learning algorithms.? Read more
In 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…)
Alastair Reid of Journalism.co.uk reports, “In the last two and a half years, The Huffington Post has launched in 11 markets and doubled traffic to its sites from 45 million to 90 million unique monthly visitors. Jimmy Maymann, chief executive of The Huffington Post, shared those figures while speaking at the Reuters’s Institute Big Data for Media conference in London today. For Maymann, the key is using data to improve reader experience, a tactic that will bring both editorial and business benefits. ‘Because of how media has changed in the last five years with social and search we’ve gone from producing 500 to 1,600 news stories every day,’ Maymann told delegates, and editors have access to data that can inform newsroom decisions in a real-time analytics dashboard. The content is ‘optimised’ by data, he said, so the editor can understand reader habits better and respond accordingly.” Read more
NEW YORK–(BUSINESS WIRE)–NTENT [formerly Vertical Search Works], a semantic search technology company delivering cross-channel content and advertising experiences, has been recognized as a leader in the industry, winning the award for “Large Technology Innovator.” Hosted by SmartCEO Magazine, the Voltage Awards celebrates the increasing role that technology plays in the business community and recognizes leaders for their creative vision and innovative solutions. Read more
Amir Halfon of Marklogic recently discussed the ways that semantic technologies can create value in the financial sector, among other industries. One such way is through data provenance: “Due to the increased focus on data governance and regulatory compliance in recent years, there’s a growing need to capture the provenance and lineage of data as it goes through its various transformation and changes throughout its lifecycle. Semantic triples provide an excellent mechanism for capturing this information right along with the data it describes. A record representing a trade for instance, can be ‘decorated’ with information about the source of the different elements within it (e.g.: Cash Flow -> wasAttributedTo -> System 123). And this information can be continuously updated as the trade record changes over time, again without the constraints of a schema, which would have made this impossible.” Read more
Amy Plitt of the Daily Traveler reports, “Travel-booking website Skyscanner partnered with 56 experts, including researchers from Google and Microsoft, as well as UK consulting firm The Future Laboratory, to determine what the future of travel might look like. The company released its findings this week, and unsurprisingly, emerging technology will make traveling both easier and more intuitive. The first part of the report focuses on planning and booking trips. According to the experts surveyed, one of the biggest changes will be the development of ‘Digital Travel Buddies,’ virtual companions that will guide you through every step of the process and help you once you’re on your trip. (Think Apple’s Siri, but way better at knowing what you want before you want it.) Read more
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