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07 Dec Curating Digital Meaning

content-without-process

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

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 Oct High 5s of Intelligent Information Modeling

Converged Canonical Model

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 […]

06 Aug Data Convergence at Velocity

Volume Velocity and Variety

Knowledge workers in all types of organizations need information in internal (to the organization) databases, intranet sites and documents, as well as information in external databases, web pages and documents. The promise of data convergence includes the lofty goal of providing, from a single request, structured and unstructured information from both internal and external sources that can […]

23 Feb Inference in Knowledge Apps

Thinking Process

In Section 5 we discussed different kinds of knowledge, including existential or hierarchical knowledge and causal knowledge. In Section 7 we discussed modeling approaches and search techniques that could be applied to any kind of knowledge. We saw that causal knowledge can be modeled as chains of causes and effects, and that existential knowledge can be […]

26 Jan Give Me Smart Requirements

Get SMART

I know how to solve this problem! I’ll just blast it to smithereens – Fire – Aim – Ready. Artificial Intelligence (AI) has been explored and developed in universities and startup companies throughout the developed world for decades, but is still struggling to reach the mainstream. There are many companies that effectively use intelligent processes and […]

07 Jan What’s in a Decision

Decision Support Components

A decision by any other name would feel as risky Take any class of software and you can find some structures or processes that you can associate back to some human-like structure or processes. To keep this more simple and relevant, I am focused on looking at systems that are fundamentally designed to replicate more […]

29 Dec Unhuman Expertise

Expert System Architecture with Common Sense

Artificial Intelligence has suffered from a persistent scale problem: up to now, many techniques have been shown to work well and reliably in narrowly defined domains, but outside the domains of their expertise, they fall apart very quickly. No techniques of which I am aware, have exhibited common sense in the way we expect humans […]