Artificial Intelligence (AI) and Project
Management are being discussed together for a while now.
Rather seriously! There is anxiety and
excitement in almost equal measures among professionals across the globe.
What
makes Project Management so relevant for Artificial Intelligence (AI)?
The answer is straight forward and lies in
the very definition of AI and Machine Learning (ML). Let us take a look.
Artificial Intelligence or AI sometimes called machine intelligence, is intelligence demonstrated by machines,
in contrast to the natural intelligence displayed by humans. Colloquially,
the term "artificial intelligence" is often used to describe machines
(or computers) that mimic "cognitive"
functions that humans associate with the human mind, such as "learning" and "problem solving”.
In simpler terms, AI enables machines to
learn, think and act like humans. AI uses data, servers and algorithms to train
machines for specific actions such as recognizing objects, reasoning, problem
solving, planning, and perception.
Machine
learning (ML) is the scientific study of algorithms and statistical
models that computer
systems use in order to perform a specific task effectively without
using explicit instructions, relying on patterns and inference instead.
It is seen as a subset of artificial
intelligence.
After careful review of both their
definitions, one can safely state that AI and ML help provide deep insights from a huge data source built over time which
is often difficult to track by us.
If you take a further closer look, ML
enables identifying patterns and structures within the data and predict
outcomes of specific activities.
Read the full article at Orangescrum Blog
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