Tag Archive for information technology

The Big Data Skills Gap is Real (Seriously)


by Angela Guess James Bessen of the Harvard Business Review recently wrote, “Every year, the Manpower Group, a human resources consultancy, conducts a worldwide ‘Talent Shortage Survey.’ Last year, 35% of 38,000 employers reported difficulty filling jobs due to lack of available talent; in the U.S., 39% of employers did. But the idea of a…

Why They Can’t See It – The Pew Survey


Today the Pew Center released a survey regarding the future of the Semantic Web. More than half of those responded didn’t think that the vision associated with the Semantic Web would be realized – that’s a startling conclusion, really. It’s even more remarkable given the fact that those who responded negatively didn’t think it would even happen by 2020.

Cyber Security part 2 – The Semantics of Security Practice


In part 1 of the Cyber Security and Semantics series we discussed some of the highlights of how or where semantics may help transform the practice of Cyber Security. To under the full implications of why Semantics and Semantic Technology is so crucial for Cyber Security we need to examine more of the problem space associated with.

Intelligent Healthcare Part 2 – The Standards Dilemma


In part 1, we established that the primary focus for most Healthcare related IT initiatives is data interoperability. This is a requirement that lends itself to being solved using Semantic Technology. However, the industry is now involved in dozens of XML-based formal standards definition efforts. The standards-based approach (without mediation or mitgation by semantic technology) has lead to more expense and complexity…

What is the Potential of Semantic Technology – Part 1


Asessing and exploiting "market potential" is complicated. Every new technology must pass through this process in order to achieve adoption. Semantic technology faces an even more difficult challenge given the pervasive nature of its potential. However, we can help accelerate this process by providing real world problem solving examples of how this potential can be harnessed (both technically and from the business perspective).

Intelligent Healthcare – Part 1


Data interoperability represents one of the most complex challenges facing the Healthcare industry today. The promise of improved efficiencies, quality and performance through information systems automation of Healthcare practices remains elusive despite decades of effort and billions of dollars invested. As more healthcare information systems are adopted, the expectations for data exchange and interoperability increase.