ICD – 10; Medical Knowledge Extraction with Increasing Variables Means Dealing with Billions of Probabilities.

Note: Bioingine Cognitive Computing Platform employs Hyperbolic Dirac Net, an advanced Bayesian that overcomes acyclic constraint; thereby the resultant statistics method delivers coherent results when dealing with a messy system where both hypothesis and data have become random messing the entropy. By. Dr. Barry Robson Bioingine.com (Ingine, Inc.) The hunger and thirst for more fine […]

Enterprise Architecture Trends 2015

I’m looking forward to speaking about trends in enterprise architecture at the EA2015 conference this week on 4 November in Copenhagen. Having spoken at this annual conference over the past several years, it has become my annual “state-of-the-union” address to the Danish EA community. This year, I will talk about several trends and issues. The outline of the lecture looks […]

Let’s Talk Value (Who Needs Architects?)

Value is a term that’s heard often these days, but I wonder how well it’s understood. Too often, it seems, value is taken to mean raw benefit rather than its actual meaning, benefit after cost (i.e. “bang for the buck”). An even better understanding of the concept can be had from Tom Cagley’s “Breaking Down […]

Big Data Analytics and Cheap Suits

Sharing a method to help resolve this challenge and help focus on what is important so you can expend your nervous system solving problems rather than creating them. Armed with a true understanding of the organizational dynamics it is now a good time to revisit a first principal to help resolve what is an important and urgent problem.

Enterprise Architecture Trends 2015

I’m looking forward to speaking about trends in enterprise architecture at the EA2015 conference on 4 November in Copenhagen. Having spoken at this annual conference over the past several years, it is my annual “state-of-the-union” address to the Danish EA community. This year, I will talk about several trends and issues. The outline of the lecture looks like this: The […]

Semantic Technology Is Not Only For Data Geeks

You can’t bring up semantics without someone inserting an apology for the geekiness of the discussion. If you’re a data person like me, geek away! But for everyone else, it’s a topic best left alone. Well, like every geek, the semantic geeks now have their day — and may just rule the data world.

It begins with a seemingly innocent set of questions:

“Is there a better way to master my data?”

“Is there a better way to understand the data I have?”

“Is there a better way to bring data and content together?”

“Is there a better way to personalize data and insight to be relevant?”

Semantics discussions today are born out of the data chaos that our traditional data management and governance capabilities are struggling under. They’re born out of the fact that even with the best big data technology and analytics being adopted, business stakeholder satisfaction with analytics has decreased by 21% from 2014 to 2015, according to Forrester’s Global Business Technographics® Data And Analytics Survey, 2015. Innovative data architects and vendors realize that semantics is the key to bringing context and meaning to our information so we can extract those much-needed business insights, at scale, and more importantly, personalized.

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