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
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
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
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
Scott Raynovich of CMS Wire recently wrote, “Boston Dynamics, Nest and DeepMind. In the past month, Google has gone on yet another acquisition binge, spending at least $4 billion on a trio of startups that seem only loosely connected — robotics, home automation and artificial intelligence, respectively. Is there a central strategy, and what does it mean to the future of Google, the Internet of Things and Customer Experience? Based on a pattern of deals and feedback from leading experts, it appears Google believes the future is heavily connected to data gathering, machine learning and automation, which all of these companies have in common. ‘In a broader pattern, if Google is focusing on artificial intelligence (AI) and machine learning, how is this kind of semantic understanding going to help us make decisions faster and do our jobs,’ said David Schubmehl, a research director with International Data Corp. (IDC).” 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
What’s next for the capital markets arena when it comes to unstructured content? According to research and consulting firm TABB Group, which specializes in the stock, bond and money markets, it’s time to turn text analytics to internally generated and disseminated unstructured data, which holds a high value for customized intelligence.
In new research, “Inner Voices: Harvesting Text Analytics from Proprietary Data,” research analyst Valerie Bogard and senior analyst Paul Rowady discuss that there are more use cases than initially undertaken for text analytics tools. “Although ultra-low latency trading strategies were an early use case in this space, text analytics is no longer limited to just that,” Bogard said in an email to The Semantic Web Blog. “The use of machine readable news has been widely adopted and all major market data providers incorporate market moving news content into their feeds.”
SAN JOSE, Calif. – Jan. 23, 2014 – Today Skytree®, the Machine Learning Company®, announces the addition of industry veterans Burke Kaltenberger as vice president of worldwide sales and Jin H. Kim as vice president of marketing. Kaltenberger will support Skytree’s mission of making high-performance machine learning technology available to the masses, while Kim brings his experience in enterprise software product development to direct the company’s external outreach. Read more
NEXT PAGE >>