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Archive for the ‘Technology’ Category

The connected word is creating more and more opportunities for analytics and knowledge modeling applications. While most of the attention is given to mobile devices, there are many other areas that are making quite some nice progress. According to a new study by research firm Analysis Mason Machine-to-machine (M2M) connections will grow to 2.1 billion [...]

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According to CB Insight VC have invested $1.1B in BigData startups Following chart shows that while the investments have been slow in Q1 2012, but the number of deals has gone up. More specifically in Q2 2012 financing and deals have been up 150% and 304%, respectively.

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  These days we hear a lot about Watson, the IBM AI supercomputer that defeated two greatest Jeopardy players on February 16th 2011. Watson is in size of 8 refrigerators, a cluster of ninety IBM Power 750 servers with a total of about 3000 processor cores and about 16-terabyte of memory. (For comparison the US Library of Congress [...]

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What is Enterprise Knowledge Bus?   First lets see what is Knowledge good for. Well, except when you want to show off, there is really no benefit to knowledge unless it is put into action!   Looking back that is where software has been used; to take actions. But so far we have been focused on [...]

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  Most of today's applications have in one way or the other some representation of Knowledge incorporated. However those are completely baked into the application code. There is no explicit notion of knowledge and as such no urge for reusing or enhancing (learning) knowledge. In the coming wave of Knowledge Powered Applications (KPA) however here [...]

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  In most cases when designing a model, knowledge is not readily available in a consumable format. As such a Knowledge Acquisition (KA) process has to be performed. This should be considered as the most important step in a Knowledge Modeling project. Models that are not properly constructed and generalized will lack reusability, due to [...]

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