Barry Levine of CMS Wire reports, “To help businesses find useful insights in growing amounts of big data, Massachusetts-based OneSource is reinventing search – and changing its name to Avention to reflect its new direction. Jonathan Flatow, Avention’s CEO, told us the new name implies ‘avenue of invention’ — something he believes suits the new search application. Designed for sales, marketing and business researchers, it uses natural language and semantic understanding to conceptually sift through mounds of data sources. Phil McWade, Avention’s Manager of Product Development, told CMSWire, ‘We’re giving our customers what they really want.’ Marketing and sales professionals don’t want ‘a list of news articles’ about companies: They want to identify companies they can sell to.” Read more
John McClure recently wrote for Mike 2.0, “Grover is a semantic annotation markup syntax based on the grammar of the English language. Grover is related to the Object Management Group’s Semantics of Business Vocabulary and Rules (SBVR), explained later. Grover syntax assigns roles to common parts of speech in the English language so that simple and structured English phrases are used to name and relate information on the semantic web. By having as clear a syntax as possible, the semantic web is more valuable and useful. An important open-source tool for semantic databases is SemanticMediaWiki that permits everyone to create a personal ‘wikipedia’ in which private topics are maintained for personal use. The Grover syntax is based on this semantic tool and the friendly wiki environment it delivers, though the approach below might also be amenable to other toolsets and environments.” Read more
Juan Carlos Perez of InfoWorld reports, “Microsoft will add new software, developer tools and capabilities to Office 365 in an attempt to make the cloud applications suite a ‘smarter’ product that is better at helping people interact at work. At its SharePoint Conference, which kicks off in Las Vegas on Monday, Microsoft will demonstrate a new machine learning application code-named Oslo designed to understand how employees work in Office 365 and with whom. Oslo will base its insights on a variety of signals gleaned from how people use Office 365′s components, like Exchange Online for email, OneDrive for Business for storage, Lync Online for IM and video conferencing, SharePoint Online for team collaboration and Yammer for enterprise social networking. Microsoft calls this information the Office Graph.” Read more
Will deep learning take us where we want to go? It’s one of the questions that Oxford University professor of Computational Linguistics Stephen Pulman will be delving into at this week’s Sentiment Analysis Symposium. There, he’ll be participating in a workshop session today on compositional sentiment analysis and giving a presentation tomorrow on bleeding-edge natural language processing.
“There is a lot of hype about deep learning, but it’s not a magic solution,” says Pulman. “I worry whenever there is hype about some technologies like this that it raises expectations to the point where people are bound to be disappointed.”
That’s not to imply, however, that important progress isn’t taking place when it comes to deep learning, which leverages machine learning methods based on learning representations with applications to everything from NLP to computer vision to speech recognition.
Jennifer LeClaire of News Factor reports, “Big Blue wants business users and consumers to put the power of its Watson supercomputer in the palms of their hands. At Mobile World Congress, IBM launched the IBM Watson Mobile Developer Challenge, a global competition to encourage developers to create mobile consumer and business apps powered by Watson. Using natural language processing and analytics, Watson processes information akin to how people think, representing a major shift in an organization’s ability to quickly analyze, understand and respond to big data. Watson’s ability to answer complex questions with speed, accuracy and confidence is transforming decision making across a variety of industries, including health care, financial services and retail.” Read more
27th February 2014 - Attensity, a provider of integrated, real-time solutions that blend multichannel voice of the customer (VoC) analytics and social engagement for enterprise listening needs, has released Analyze 6.3, which includes business-oriented added features and enhancements.
Attensity Analyze 6.3 gives users access to text analytics engines with real-time access to more than 150 million blogs and forums, Facebook, and Twitter. Read more
Michael C. Daconta of GCN recently wrote, “Recent articles about Pandora’s and Netflix’s use of big data illustrate why government IT managers should not just focus on data management, data collection and even big data processing. They need to shift the focus from the data producer to the data consumer… In both these cases, we see big data is the stepping stone for consumer-centric information production. The Netflix micro-genres are not the trove of big data on movie viewing, or the movie data itself. Instead, it is useful information mined from that data. Likewise, the data containing Pandora users’ demographics and preferences create a way for advertisers to target buyers.” Read more
Research this month from MindMetre Research shows that 89 percent of organizations believe they need to gain greater insight into their growing volumes of unstructured data to improve their commercial advantages and gain a competitive edge. That insight into such data, the research reports, could feed a number of business-boosting scenarios. “This content can be used to provide insights for proposals and projects, to inform business relationships, to enable collaboration, to avoid repetition of research, to repurpose content, and generally to streamline the flow of enterprise knowledge and avoid replication of work already done,” says Paul Lindsell, Managing Director of MindMetre.
ORLANDO, FL–(Marketwired – Feb 24, 2014) – Predixion Software, a leading developer of collaborative predictive analytics software, announced today the joint development of Predixion Length of Stay (LOS) Insight. This software solution will allow hospitals to develop individualized care plans based on each patient’s risk factors and use this information to optimize the delivery of needed healthcare services. Carolinas HealthCare System, one of the largest non-profit healthcare systems in the nation, is co-developing this novel platform, leveraging the healthcare system’s expertise in acute care delivery and substantial investments in data and analytics. Read more
Jennifer Zaino recently wrote an article for our sister website DATAVERSITY on the evolving field of NoSQL databases. Zaino wrote, “Hadoop Hbase. MongoDB. Cassandra. Couchbase. Neo4J. Riak. Those are just a few of the sprawling community of NoSQL databases, a category that originally sprang up in response to the internal needs of companies such as Google, Amazon, Facebook, LinkedIn, Yahoo and more – needs for better scalability, lower latency, greater flexibility, and a better price/performance ratio in an age of Big Data and Cloud computing. They come in many forms, from key-value stores to wide-column stores to data grids and document, graph, and object databases. And as a group – however still informally defined – NoSQL (considered by most to mean ‘not only SQL’) is growing fast. The worldwide NoSQL market is expected to reach $3.4 billion by 2018, growing at a CAGR of 21 percent between last year and 2018, according to Market Research Media. Read more
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