22-02-2013, 03:59 PM
Intelligent Systems and Applications in IT Management
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Intelligent Systems?
Intelligent systems have been around
since long, are applied in many domains,
and typically fall under broader discipline
of AI (artifi cial intelligence). AAAI.org[1]
defi nes AI as the scientifi c understanding
of the mechanisms underlying thought and
intelligent behaviour and their embodiment
in machines. Most of early applications of
AI were based on technologies like expert
systems. Expert systems represent and
store expertise of domain experts in certain
form, use and apply that expertise to solve
a problem. AI especially in the context
of business applications involves many
techniques like artifi cial neural networks,
fuzzy logic, genetic algorithms, case-based
reasoning etc. Together these techniques
address wide-variety of problems; they
diff er in the way they acquire, represent,
store, retain, use, reuse and apply
knowledge and solve problems. There
are two basic forms of knowledge explicit
and tacit as shown in table 1.
Intelligent Systems in Managing IT
There are many activities that are part of
managing information technology, which
require substantial knowledge about
various technologies and human expertise.
For example, procuring software itself is
one of the complex decision-making tasks.
Typical questions that the decision maker
may have in mind: (a) how can I get the
software that takes care of all my functional
and technical requirements?; (b) will it fi t
into, complement and be compatible with
my existing IT setup or will I need to incur
extra cost to procure additional required
resources?; © what licensing policies
does the vendor follow, what is the best
that suits to my requirements?;
Managing IT Expertise
Software project management, support
and administration of various applications
and systems require diff erent kind of
skills sets. In large size fi rms, pulling
or hiring the right resource person is
important based on the job profi le.
Same as that of software specifi cation
if the job profi les and employee skillsets
are specifi ed in standard form using
various criteria, matching job profi les
with required job profi le becomes easier.
Right employee profi le for right job
improves productivity and employee
satisfaction. Domain knowledge about
various skill set is essential, for example,
if a software engineer who has worked on
C++ programming, can he or she work on
project that involves C coding?