Database Reference
In-Depth Information
5
Artificial Intelligence,
Machine Learning, and
Deep Learning in Data Science
“You can use all the quantitative data you can get, but you still have to distrust it and
use your own intelligence and judgment.”
- Alvin Toffler
“The question of whether a computer can think is no more interesting than the ques-
tion of whether a submarine can swim.”
- Edsger W. Dijkstra
Computers will never replace the intuitive role of the human element vis-a-vis Data
Science research. Let me repeat that. Computers will
never
replace the intuitive role of the
human element vis-a-vis Data Science research.
What current and developing Artificial Intelligence (AI) software
can
and will do,
however, is
help facilitate
the parsing of various dark data, especially dark data which needs
to be gathered from such esoteric sources as images and digital recordings of telephone con-
versations with customers.
AI applications are very good at recognizing and responding to inputs. Ask an AI app
linked to an extensive database to give the name of the man who was President during the
American Depression, and it will tell you “Franklin Delano Roosevelt.” Posit the speculative
question as to whether the Rooseveltian “New Deal” programs sped up or (as some people
argue) slowed down the recovery, and the AI application will come up with …
nothing
.
Speculation, imagination, and conjecture are not attributes which lie within the realm of
machines. (A note here. Even fact-based questions can be flubbed by AI apps, depending on
the quality and nuance and detail of the data originally input. In training to go on the game
show
Jeopardy
, IBM's “Watson” answered “Wonder Woman” when asked to name the first
