Reducing Information Pollution

Does Big Data Analytics Dull Thinking?

Embedded algorithms processing big data are proposed to reduce human information processing demands. Edward Tenner in his book The Efficiency Paradox: What Big Data Can’t Do [Alfred a Knopf, 2018] proposes that the efficiency from embedded Big Data Analytics can be counterproductive, e.g., missed opportunities, adopting new approaches, less intuitive thinking. He provides a persuasive rationale for his position including many valuable examples. Tenner recommends that a selective combination of embedded algorithms and human intuition will improve judgments, learning and decision-making. Marty B #IORGforum, #EndInfoOverload

Source:
Excerpt: Embedded algorithms processing big data are proposed to reduce human information processing demands. Edward Tenner in his book The Efficiency Paradox: What Big Data Can’t Do [Alfred a Knopf, 2018] proposes that the efficiency from embedded Big Data Analytics can be counterproductive, e.g., missed opportunities, adopting new approaches, less intuitive thinking. He provides a persuasive rationale [...]

Tags:

Leave a Reply

Information Overload Research Group Comment Form * Required (E-mail will not be published)




Visit Us On TwitterVisit Us On LinkedinVisit Us On Youtube