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The Text Analytics Opportunity: What’s holding you back?

In a survey from last year’s TAW conference, when asked what factors are holding back Text Analytics adoption, the response reflects what we often see out in the world:

Lack of clarity about value of Text Analytics (23.4%)
Lack of knowledge about Text Analytics (17%)
Lack of senior management buy in (8.5%)
Don’t believe Text Analytics has enough business value (6.4%)

(Thanks to Tom Reamy, Text Analytics World Conference Chair, for these numbers)

In our work with customers, the companies that choose text analytics do so because other methods–traditional enterprise search and content management [...]

It’s Just Language

As often happens with experience, answers can be found hiding in plain sight, hiding from those too close to the issue, and obvious to those with a fresh but experienced perspective.  A fresh perspective is what I’m writing about today.

Working in the technology industry, you tend to view things a little differently. Process and structure form the basis of understanding, employing neatly organized, methodical architecture and syntax, optimized to produce reliable results.  Certainly in practice it can be as simple as it can be complex, and I suspect that is an inherent characteristic of creating something new.

But [...]

Semantics and the BBC: What we can learn from early adopters

I always enjoy hearing from the BBC on their use of semantics, and appreciate how they are sharing this journey with the rest of the world. With such a visible and well-known medium, they are a great champion for semantic technology, especially in terms of bringing it into the mainstream conversation about all the possibilities that exist with information.

An article on Semanticweb.com this week highlighted the BBC’s Linked Data Platform and how their use of semantics has evolved since their 2010 World Cup project. In it, David Rogers, the Senior Technical Architect for BBC Future Media [...]

Why Can’t My Computer Understand Me?

I enjoyed reading this article that described in a clear and thorough way, that the road to developing an, at least partially, intelligent computer is long and winding.

It is too common to read articles that magnify little incremental improvements applicable only to specific context as major revolutionary milestones (does this ring a bell Google or IBM? :-) )

There aren’t any real shortcuts on this matter. Even analysing billions of web pages, including wikipedia and other vast structured knowledge bases, is not enough to make a computer understand a simple phrase that even an eight year old could easily comprehend [...]

SemTechBiz 2013: The Future of Semantics

At last week’s Semantic Technology Conference, I wasn’t able to venture much past our booth this year, but I wanted to highlight some of the big takeaways based on what I did see and what I heard others talking about.

Automatic news monitoring: Undoubtedly we are all “consuming” far more information than even a few years ago. Whatever the subject of our interest, a multitude of sources exist that cover most any aspect of it, and in great detail. Online news outlets, blogs, forums and social media produce a quantity of information that is [...]