Enterprise Architecture is still juvenile, why?
The big issue is though that we don’t know what we don’t know. Hence we don’t know what to do about it.
Aggregated enterprise architecture wisdom
The big issue is though that we don’t know what we don’t know. Hence we don’t know what to do about it.
Data consists of symbols that represent objects, events, and their properties. Information is data that has been made useful. Information answers the questions of who, what, where, when, and how many. Information is helpful in deciding what to do, not how to do it. Knowledge consists of instructions and know-how. Knowledge answers the ‘how’ […]![]()
Continuing the series on Nine Easy Steps to Unlock Breakthrough Results, we now assign relative weights to each of the critical capabilities groups for each operating model uncovered earlier. This is done to assign the higher weightings to capability groupings most important to the success of each model. Having the quantified index means we can evaluate each platform or tool for optimization within quickly and produce meaningful results.![]()
How does systems thinking really apply to enterprise architectureOne of the things I like most about the festive season is the chance to reset – there’s space and time to think about what happened in the previous year, what the future might bring, and most of all – time to spend with the special people in your…
Such IT failures we learn nothing from, have a debilitating effect on future projects. Organizations are paralysed by the fear of change. Hence things continue to be bad for fear they can get even worse.
Failing to appraise the situation properly is perhaps the main cause of failure for IT projects.
“What’s the theory of enterprise-architecture?”, a colleague asked the other day. “Is there any kind of coherent and consistent theory behind it that holds it all together?” Short answer: no. Slightly longer answer: yes. Or sort-of, rather. Both no and yes…
Failing to appraise the situation properly is perhaps the main cause of failure for IT projects.
Bioingine.com; Probabilistic Modeling and Predictive Analytics Platform for A.I driven Deep Learning to discover Pathways from Clinical Data to Suggested Ontology for Pharmacogenomics; achieving Personalization and Driving Precision Medicine. Data Integration in the Life Sciences: 11th International Conference, DILS 2015, Los Angeles, CA, USA, July 9-10, 2015, Proceedings The Feature Diagram from the book above:- Pharmacogenomic knowledge […]![]()
The planning has been found unrealistic… Without experience, the team may fail to recognise components, dependencies, issues and risks…
Or the planners had to squeeze the execution schedule at the political pressure form above… Squeezing time ri…
Leon Festinger, American social psychologist, is credited to have developed the idea around Cognitive Dissonance Bioingine.com employs algorithmic approach based on Hyperbolic Dirac Net that allows inference nets that are a general graph (GC), including cyclic paths, thus surpassing the limitation in the Bayes Net that is traditionally a Directed Acyclic Graph (DAG) by definition. The Bioingine.com approach thus more fundamentally […]![]()
It’s time to do something good. Every year, in the week before Christmas, the Dutch radio station 3FM sets up a ‘glass house’ somewhere in The Netherlands, three dj’s are locked up in it for a week without food and … Continue reading →![]()