Category Archives: Technology
10 Apr More Agile Than “Agile”
Agile Information Technology (IT) promises to deliver automated capabilities to users more quickly, and to a great extent, has achieved this. But to many, IT stands for Ivory Tower, and, other than the privileged few, most people in businesses are on their own unless their needs are shared by enough others that the potential benefits […]
04 Jul Cognitive Multi-Processing
Today I’ll address parallel computing and models for breaking down computational problems. I will not address the question of autonomy today, but save the question of empowering independent agents for a future post. ANS and Multiprocessors Artificial Neural Systems (ANS) are probably the closest approximation of the mechanical brain paradigm, so it is useful to know how […]
09 Jan 2017 – The Year of AI
Recently, January 5th, 2017, on my ride into work I was listening to BBC World Update with Dan Damon, as I often do, and heard him interviewing someone about the new artificial intelligence (AI) app for the British National Health Service from Babylon Health (similar story on TechCrunch). It’s a Chat Bot for SMS text […]
07 Dec Curating Digital Meaning
I think of museums when I hear about curating. Meaning is, in a strange way, an artifact, simultaneously ancient and modern. Meaning has existed as long as perception has existed in the most rudimentary forms of life. For the purposes of my blog, I define meaning as: “the fruit of understanding and the fuel of […]
30 Nov Architecting Meaningful Relationships
How do you know — anything? Chemicals and electrical impulses splash around in the brain, and voila: we understand the meaning of life, the universe and everything. We have looked at how synapses connect neurons, and how taxonomical and other associations connect concepts, but is it even possible for a computer to understand the complex […]
20 Aug Sustainable Software: Three Ways to Future-Proof Enterprise IT
I have often heard COOs and CIOs lament the fact that systems need to be replaced too frequently because they tend to be brittle and costly to adapt. Yet changes in the marketplace and regulations force companies to update automation capabilities, often requiring rapid change. Mergers and acquisitions compound the problem of unsustainable systems by adding […]
20 Oct High 5s of Intelligent Information Modeling
Quantitative data is easy to make into useful information by establishing correct associations and providing human experts with the right slicing and dicing tools. But in its native format, data is not independently meaningful. Many qualitative content sources are narrative, born as whole information. Such content is advanced beyond data because of the built-in associations, but inevitably more difficult for machines to […]