Jeremy Bentley of KMWorld recently wrote, “The age of the Internet has made us accustomed to having all the information we could want readily available at our fingertips – quite literally so, thanks to laptops, tablets, smartphones and other devices… Unfortunately, we rarely experience the same level of data accessibility in our workplaces, where internal information assets can be massive and hugely complex—and not at all easy to access search with the pinpoint precision that is usually required to find a very specific document or piece of content. Addressing this challenge should be high on the priorities list of any organization aiming to extract value efficiently from unstructured content. But it is proving to be no easy task.” Read more
Posts Tagged ‘content intelligence’
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.
Content intelligence at scale. That’s the promise of the new Temnos platform from the company of the same name. Aimed equally at publishing networks that want to do a better job monetizing their output and brands with their own content initiatives, Temnos delivers metadata and metacontent for every URL sent its way, with the goal of helping the user understand its strengths and weaknesses, what audiences are primed to respond to it, how it might be repackaged to better direct to groups of readers or advertisers, what alternate headlines can be drawn out, and what summaries can be used, with the user’s choice of a more optimistic or pessimistic slant, low- or high-brow angle, and other features.
“It’s a good time to do this because both marketing advertising players and publishers and publishing networks are all hungry to make their products better,” says Temnos founder and executive chairman Tim Musgrove, who founded advanced semantic search and corpus analytics company TextDigger, which was acquired by Federated Media in 2010. Musgrove was Federated Media’s chief scientist in its Data Science Group until June, and Federated Media is one of the early adopters of the Temnos platform. “They find they can get a lot more leverage out of content marketing by doing this,” says Musgrove, helping to boost the CPM earned from marketers. “They can package their campaigns in a way that feels like it’s narrowing the targeting and not narrowing the inventory.”
How efficient is the enterprise at using information? An independent report being released today from MindMetre Research, sponsored by semantic content intelligence vendor Smartlogic, offers up an Industry Information Index that benchmarked organizations in 20 industry sectors – and finds that information efficiency is fundamentally unsatisfactory.
The benchmarks considered as markers of information efficiency enterprise search effectiveness; information categorization effectiveness; and categorization and search progress and investment. They also explored the fragmentation of information systems at responding companies. Fewer than half the 2,000 firms surveyed worldwide rated their sector as capable across the four categories, indicating issues around tasks such as systematizing documents to make them findable across the enterprise, or enabling internal users and clients to receive precisely filtered information feeds.
Smartlogic recently released a new version of its Semaphore software, which took home the 2011 European Frost & Sullivan Technology Innovation Award. Version 3.3 adds new semantically-rich features, but the company itself has been shifting its strategy to talk about its solution less as the enterprise semantic platform and more as a content intelligence platform for identifying, classifying, extracting, analyzing and utilizing hard-to-find information from among unstructured assets in existing information management systems like Microsoft SharePoint.
Why? According to marketing VP Maya Natarajan, it’s an in to better customer access. “Whenever you think of the word semantic, there’s such a small percentage of the population that understands what it is,” she says. “But amazingly the uptake for content intelligence is so great. People immediately understand that so much quicker” — that is, she says, that content intelligence describes all the business reasons and benefits for deploying an enterprise semantic platform.
Another way to make the virtues of content intelligence even more obvious: Smartlogic is planning to introduce prebuilt starter taxonomies to kickstart the process in some vertical sectors. Meanwhile, Version 3.3 has brought to its customers features that still proclaim its semantic heritage, including a semantic visualization tool.
The adage "content is king" has never been truer than it is today. Companies across the board are rapidly evolving their services to provide their customers with even more value in the face of the economic meltdown. With its near unlimited capacity and zero-cost of publishing, the Internet has grown astronomically. In 2006, it was estimated that the Internet encompassed 70 million blogs and 150 million Web sites (three million times the information size of all books ever written), and is currently growing by ten thousand pages per hour. What’s particularly interesting is that it’s not just traditional publishing companies that have to find ways to compete with the explosion of information – companies ranging from pharmaceutical developers to mortgage companies are exploring ways to create new information services by tapping the immense amount of information available on the Internet today. However, creating these new information services can be extraordinarily time consuming and expensive without the help of semantic technologies.