Speaking notes
PADM 5500
March 18, 2010
Dr. Neubauer
WHERE WE ARE
This evening we will review the following two chapters.
· Stair and Reynolds, Chapter 7 – Specialized Business Information Systems
· Barrett and Green Chapter 7. Strategic Planning
Next week we will get into systems development, which is a topic that I give some emphasis to. It is very likely that as a general manager or other employee of a government agency or nonprofit organizations that you will be directly or indirectly involved in the analysis of one or more new software applications for your organization.
Review of applications from prospective new volunteers process (or a nonprofit organization)
Review of loan applications process by a bank
Looking at the two models above, activity appears to be a "service" that can be outsourced electronically to a specialized organization?
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What is it about that service that makes it feasible for a specialized organization to provide it as a "service" in the sense of "Service Oriented Architecture?"
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Barrett and Greene, Chapter 7 -- Strategic Planning
The IT plan needs to fit into the business plan of the organization. If there is no business plan, how can there be a good IT plan?
Available technologies become available so fast, that future projections become fuzzy beyond about two years.
New political leaders may have new goals that affect IT plans.
The strategic plan should answer, WHAT, HOW and WHY (and WHEN).
It should be easier to justify specific requests if ALIGNMENT with the strategic plan is evident.
The long-term plan probably should be reviewed and updated at least annually. In should be a "living document."
If the CIO is "just" a technical person, there is a serious problem.
Stair and Reynolds,
Chapter 7 -- Specialized Business Information Systems
The two major programming languages of
artificial intelligence are Lisp and Prolog.
SWI-Prolog program for Windows from
University of Amsterdam is available at this URL.
http://www.swi-prolog.org/download.html
Here is a very small practice Prolog
knowledgebase.
capital_of(atlanta,georgia).
capital_of(tallahassee,florida).
located_in(athens,georgia).
located_in(X,Y) :- capital_of(X,Y).
You can run the following queries against
it.
capital_of(X,Y).
capital_of(X,georgia).
capital_of(athens,georgia).
located_in(atlanta,georgia).
The beauty of it is that given the FACTS
and the RULES in the Prolog knowledgebase it can produce the answer to the last
query even though it does not have that particular fact. How does it do this?
For more information on artificial intelligence, see the following URL.
voice recognition
command
discrete
continuous
rule-based expert system
artificial neural network
genetic algorithms
fuzzy logic (crane example)
knowledge acquisition from experts
tacit and explicit knowledge
system modeling and simulation
http://www.umar.biz/pdfs/Simulation_Modeling_in_Arena_for_BU395.pdf