Jeffrey Schwartz of Redmond Magazine recently wrote, “Nearly a year after launching its Hadoop-based Azure HDInsight cloud analytics service, Microsoft believes it’s a better and broader solution for real-time analytics and predictive analysis than IBM’s widely touted Watson. Big Blue this year has begun commercializing its Watson technology, made famous in 2011 when it came out of the research labs to appear and win on the television game show Jeopardy. Both companies had a large presence at this year’s Strata + Hadoop World Conference in New York, attended by 5,000 Big Data geeks. At the Microsoft booth, Eron Kelly, general manager for SQL Server product marketing, highlighted some key improvements to Microsoft’s overall Big Data portfolio since last year’s release of Azure HDInsight including SQL Server 2014 with support for in-memory processing, PowerBI and the launch in June of Azure Machine Learning.” Read more
Posts Tagged ‘data management’
BARRINGTON, ILLINOIS–(Marketwired – Oct. 7, 2014) – Expert System US, Inc., a leader in semantic technology, and WAND, Inc, the leader in the development of enterprise taxonomies, today announced a partnership that will enable businesses to implement a simpler, more accurate organization of data and documents.
Making internal and external information more “findable” allows enterprises to be more innovative, to manage the relationships with their customers more effectively and to minimize operational risks. In summary, to make them more competitive. Expert System and WAND will increase the findability of information by effectively integrating the three most important steps in the content management process: Read more
Rick Delgado recently wrote on Mike2.0, “When you get right down to it, computer security is all about being able to analyze the data. A company’s security is largely dependent on the amount of data analysis they’re capable of, along with the quality of that data. A company that can collect a lot of data at once but doesn’t have the means to analyze it properly for threats won’t get very far. The same goes for a business with excellent analytic tools but without the resources to gather and store that information. These facts are very important because without a lot of data, machine learning simply can’t be as effective.” Read more
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
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
Industry leaders in sectors including banking and financial services look to have high hopes for semantic technology. They’re thinking about FIBO (Financial Industry Business Ontology) and leveraging semantic technology for more traditional types of data integration and analytics projects. At Cognizant, Thomas Kelly, a director in its Enterprise Information Management practice – and the author of this white paper on How Semantic Technology Drives Agile Business – sees the positive development that clients in the Fortune 500 space like these “are maturing in their use of semantic technology, from a project focus to more enterprise initiatives.”
The interest in FIBO, he says, is representative of an overall interest across in industries in leveraging industry ontologies as mechanisms to help companies better standardize, align and learn from the output of industry-wide efforts. The attention that industry analysts, including Gartner, have put on the semantic web in the last year – not to mention regulators beginning to consider its use in sharing information on a regulatory basis – have helped increase interest by commercial organizations, Kelly notes. That’s also evident in the life sciences sector, as another example, with the efforts of the FDA/PhUSE Semantic Technology Working Group Project to include a draft set of existing CDISC standards in RDF.
The pickup in attention to many things semantic ties to the different perspectives that organizations need to manage about their data, which include “how they currently think of their data, how it is currently perceived in managing business operations; and where they are looking to go in the future that makes it more inclusive of what’s going on in the world outside their walls – that is, how the rest of the industry looks at this data and uses it to support their business processes,” he says.
Jeni Tennison recently wrote a clever article for the Open Data Institute on the five stages of data grief. She writes, “As organisations come to recognise how important and useful data could be, they start to think about using the data that they have been collecting in new ways. Often data has been collected over many years as a matter of routine, to drive specific processes or sometimes just for the sake of it. Suddenly that data is repurposed. It is probed, analysed and visualised in ways that haven’t been tried before. Data analysts have a maxim: ‘If you don’t think you have a quality problem with your data, you haven’t looked at it yet.’ …In our last ODI Board meeting, Sir Tim Berners-Lee suggested that the data curators need to go through something like the five stages of grief described by the Kübler-Ross model. So here is an outline of what that looks like.” Read more
Medallia Expands Offering for Business-to-Business Companies With 360-Degree Account Management Reporting
PALO ALTO, California, November 12, 2013 — Medallia® the global leader in SaaS Customer Experience Management (CEM) solutions, today announced a new release of its Business-to-Business (B2B) offering. The release is designed to increase key stakeholders’ visibility into account feedback across B2B organizations so they can improve the customer experience.
Bob Emmerson recently wrote an article in NoJitter.com in which he stated, “Sky-high guesstimates for the Internet of Things–10B devices by 2016 (Cisco), 50B by 2020 (Ericsson)–can overshadow the importance of this concept in corporate environments. In this context, the Internet of Corporate Things is a more meaningful term. General Electric calls it the Industrial Internet. But whatever term you employ, a serious, significant development is taking shape.” Read more
Walldorf, Germany (PRWEB) October 11, 2013 — fluid Operations, leading provider of cloud and data management solutions based on semantic technologies, and Fujitsu, the leading Japanese information and communication technology (ICT) company, are collaborating to develop a joint solution which allows enterprises to transform legacy, silo-based IT environments into agile, automated infrastructures. The solution aims at providing unified application and service delivery and allowing for agile responses to rapidly changing business demands. Read more
NEXT PAGE >>