Posts Tagged ‘Gartner’

Cambridge Semantics Identified in Gartner’s ‘Hype Cycle for Life Sciences 2014’ Report

Cambridge SemanticsBOSTON, Mass. (PRWEB) September 23, 2014 — Cambridge Semantics, the leading provider of Smart Data solutions driven by Semantic Web technology, was named in the recent ‘Hype Cycle for Life Sciences 2014 ’ report by Gartner, Inc. The report details key insights pertaining to the benefits in the knowledge graphing category.

According to Gartner analysts Michael Shanler and Stephen Davies, “The use of these systems can help accelerate innovation activities, expose complex relationships with scientific stakeholders, and support collaboration and innovation strategies as they relate to drug discovery, translational medicine, competitive intelligence, and clinical research.” Read more

Gartner Reports ‘Internet of Things’ Tops the Technology Hype Cycle

Gartner_2014-2Gil Press of Forbes reports, “Gartner released last week its latest Hype Cycle for Emerging Technologies. Last year, big data reigned supreme, at what Gartner calls the ‘peak of inflated expectations.’  But now big data has moved down the ‘trough of disillusionment’ replaced by the Internet of Things at the top of the hype cycle.  In 2012 and in 2013 Gartner’s analysts thought that the Internet of Things had more than 10 years to reach the ‘plateau of productivity’ but this year they give it five to ten years to reach this final stage of maturity. The Internet of Things, says Gartner, ‘is becoming a vibrant part of our, our customers’ and our partners’ business and IT landscape’.” Read more

What’s The Word On Enterprise Search?

Photo Credit: Sean MacEntee/ Flickr

Photo Credit: Sean MacEntee/ Flickr

Context is king – at least when it comes to enterprise search. “Organizations are no longer satisfied with a list of search results — they want the single best result,” wrote Gartner in its latest Magic Quadrant for Enterprise Search report, released in mid-July. The report also says that the research firm estimates the enterprise search market to reach $2.6 billion in 2017.

The leaders list this time around includes Google with its Search Appliance, which Google touts as benefitting from Google.com’s continually evolving technology, thanks to machine learning from billions of search queries. Also on that part of the quadrant is HP Autonomy, which Gartner says is “exceptionally good at handling searches driven by queries that include surmised or contextual information;”  and Coveo and Perceptive Software, both of which are quoted as offering “considerable flexibility for the design of conversational search capabilities, to reduce the ambiguity of results.”

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Paxata Named a Cool Vendor In Gartner’s Cool Vendors for Data Integration and Data Quality, 2014 Report

paxata

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

Gartner Uncovers Who’s Cool In The Supply Chain

Photo courtesy: Flickr/a loves dc

Photo courtesy: Flickr/a loves dc

Gartner recently released its report dubbed, “Cool Vendors in Supply Chain Services,” which gives kudos to providers that use cloud computing as an enabler or delivery mechanism for capabilities that help enterprises to better manage their supply chains.

On that list of vendors building cloud solutions and leveraging big data and analytics to optimize the supply chain is startup Elementum, which The Semantic Web Blog initially covered here and which envisions the supply chain as a complex graph of connections. As we reported previously, Elementum’s back-end is based on a real-time Java, MongoDB NoSQL document database and flexible schema graph database to store and map the nodes and edges of a supply chain graph. A URI is used for identifying data resources and metadata, and a federated platform query language makes it possible to access multiple types of data using that URI, regardless of what type of database it is stored in. Mobile apps provide end users access to managing transportation networks, respond to supply chain risks, and monitor the health of the supply chain.

Gartner analyst Michael Dominy writes in the report that Elementum earns its cool designation in part for its exploitation of Gartner’s Nexus of Forces, which the research firm describes as the convergence and mutual reinforcement of social, mobility, cloud and information patterns that drive new business scenarios.

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The Smart Machines Nipping at Watson’s Heels

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Jeff Bertolucci of Information Week recently asked, “So what’s a smart machine? As a computing model designed to analyze growing volumes of unstructured data, including video, images, and human language, a smart machine, or cognitive computing system, uses artificial intelligence and machine learning algorithms to ‘sense, predict, infer and, in some ways, think,’ according to IBM. In a recent report, Cool Vendors in Smart Machines, 2014, Gartner named three well known examples of smart machines, including IBM’s Watson, Google Now, and Apple’s Siri, and predicted the technology will gain wider acceptance this decade. It also spotlighted a few up-and-coming vendors in the genre, including AlchemyAPI, Digital Reasoning, Highspot, Lumiata, and Narrative Science.” Read more

Gartner Inc: Gartner’s 2013 Hype Cycle for Emerging Technologies Maps Out Evolving Relationship Between Humans and Machines

STAMFORD, Conn., August 19, 2013 — The evolving relationship between humans and machines is the key theme of Gartner, Inc.’s “Hype Cycle for Emerging Technologies, 2013.” Gartner has chosen to feature the relationship between humans and machines due to the increased hype around smart machines, cognitive computing and the Internet of Things. Analysts believe that the relationship is being redefined through emerging technologies, narrowing the divide between humans and machines. Read more

Internet of Things: Semantic Tech Has A Role, If Businesses Can Figure Out What IoT Means To Them

Semantic technology will have a starring role in the Internet of Things. Supporting interoperability between heterogeneous IoT entities, playing a part in driving much-needed application agility and adaptability through model-driven computing, and helping businesses cope with understanding and analyzing the influx of Big, and often unstructured, Data generated not just by humans but now by devices – all provide use cases for semantic tech.

And it’s becoming increasingly clear that semantic tech will be playing a role in what should be a very major motion picture. Just recently released is a new market research report entitled, Internet of Things Market & Machine-To-Machine Communication Market – Advanced Technologies, Future Cities & Adoption Trends, Roadmaps & Worldwide Forecasts (2012 – 2017). The report, published by Markets and Markets, notes that the IoT and M2M communications market will reach $290.0 Billion by 2017, at a CAGR of 30.1 percent.

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Semantic Tech’s Growing Influence In The E-Discovery Market

Photo Courtesy: Flickr/srqpix

The e-discovery market is a growing one, with Gartner this year estimating electronic data discovery software sales will reach $2.9 billion by 2017. The same research firm just recently positioned where vendors fall in that space, with the release of its Magic Quadrant for E-Discovery software.

As recounted here, semantic technology is becoming an increasingly important part of the package; semantic inventory tools, for example, allow for better understanding the vocabulary of litigation and involve repetition in the process of looking for the relevant evidence.

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The Rise of ‘Big Content’

Virginia Backaitis of CMS Wire recently discussed the rise of Big Content and how semantic technologies are taking a role in mining value from said content. She writes, “The first time I heard the term Big Content, I thought ‘Oh brother.’ At the time, the people who used the term “Big Content” either talked about it in terms of content that went beyond their control (i.e. viral) and said that this was a highly desirable thing OR they argued that ‘content’ was growing at a rapid clip, and that Big Data technologies, such as Hadoop, were incapable of dealing with voluminous unstructured data — that you needed something called ‘Big Content’ to do that.” Read more

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