 Predicting the FutureFady A. Harfoush ()
Chapter 5 in From Big Data to Intelligent Data, 2021, pp 63-80 from Springer Abstract: Abstract Predicting the future is like reading a crystal ball or going to a fortune teller. There are no guarantees, only possibilities. As once said “the best way to predict your future is to create it” a quote attributed to Abraham Lincoln. If we can predict the future with absolute certainty, then it is not the future anymore. In the big data competitive game, it is not about being correct, it is about being better than the rest. In reporting the possibilities and the actionable insights, the smart presentation of data and results play a significant role. Machine learning and artificial intelligence are commonly associated with predictive analytics. The results from any modeling or analytics are as good as the data are. Any bias in the data will be embedded in the models, and we risk creating a self-fulfilled prophecy based on our own bias and views of the world. As much as many tasks will be automated by AI, many new tasks will be created, and some will be hard to automate like design thinking and visual modeling. Keywords: Predictive analytics; Machine learning; Smart reporting; Design thinking; Visual modeling (search for similar items in EconPapers) There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:spr:mgmchp:978-3-030-76990-1_5 Ordering information: This item can be ordered from DOI: 10.1007/978-3-030-76990-1_5 Access Statistics for this chapter More chapters in Management for Professionals from Springer |
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