This is a more generic view on the pattern alluded to in previous posts....
Tuesday, November 1, 2011
Journey into Semantic Space
How context affects meaning and its transition through situational participants....
This is a more generic view on the pattern alluded to in previous posts....
This is a more generic view on the pattern alluded to in previous posts....
B.I. Tools don't replace human judgment
Along the earlier point of Augmented Intelligence, it should be re-emphasized that even the fanciest Business Intelligence tool and infrastructure is not replace critical thinking by humans.
Currently there is a bubble developing around visualization techniques. The mere visualization of data is hailed as "Business Intelligence", while the semantic layer ("what does this data mean?") is still neglected.
Computers' main purpose is to empower human thinking, to speed up tedious tasks and help managing vast amounts of data that would overwhelm the human mind. But the actual judgment, as to what the data reveals, is still a human responsibility.
Traditional decision support systems wait for humans to pose questions for the DSS to answer. More current approaches let the software/data provide pro-active insights human users were not even aware of. But how to use these insights is entirely up to the business user.
If business analytics solutions would be so powerful to actually make decisions as well, then business people wouldn't be needed anymore. And these decision engines better be implemented by business-savvy developers.
Currently there is a bubble developing around visualization techniques. The mere visualization of data is hailed as "Business Intelligence", while the semantic layer ("what does this data mean?") is still neglected.
Computers' main purpose is to empower human thinking, to speed up tedious tasks and help managing vast amounts of data that would overwhelm the human mind. But the actual judgment, as to what the data reveals, is still a human responsibility.
Traditional decision support systems wait for humans to pose questions for the DSS to answer. More current approaches let the software/data provide pro-active insights human users were not even aware of. But how to use these insights is entirely up to the business user.
If business analytics solutions would be so powerful to actually make decisions as well, then business people wouldn't be needed anymore. And these decision engines better be implemented by business-savvy developers.
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