Constructing for the Long-Term
This chapter addresses a number of issues that can inhibit the long‐term viability of an information architecture and artificial intelligence. The goal is to help people to achieve a program of smarter data science that can sustainably support mission‐critical processes over time. Hard‐coding is a p...
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creator | Stryker, Cole Fishman, Neal |
description | This chapter addresses a number of issues that can inhibit the long‐term viability of an information architecture and artificial intelligence. The goal is to help people to achieve a program of smarter data science that can sustainably support mission‐critical processes over time. Hard‐coding is a programming technique that often requires a change to a program's source code any time a characteristic from the outside world changes. Hard‐coding programming techniques can be prevalent across all aspects of preparing data associated with the data value chain: data ingestion, refinement, correlation, etc. To mitigate forced changes associated with data, some organizations have resorted to overloading. A common worldwide business concept that can be used to showcase the dilemmas associated how hard‐coding negatively locks people in is a vehicle identification number (VIN). The VIN structure was designated by the Society of Automotive Engineers and is currently controlled by ISO. |
doi_str_mv | 10.1002/9781119697985.ch9 |
format | Book Chapter |
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The VIN structure was designated by the Society of Automotive Engineers and is currently controlled by ISO.</description><identifier>ISBN: 1119693411</identifier><identifier>ISBN: 9781119693413</identifier><identifier>EISBN: 9781119694380</identifier><identifier>EISBN: 1119694388</identifier><identifier>EISBN: 9781119697985</identifier><identifier>EISBN: 1119697980</identifier><identifier>DOI: 10.1002/9781119697985.ch9</identifier><identifier>OCLC: 1151198638</identifier><identifier>LCCallNum: PL4464.3$b.F574 2020</identifier><language>eng</language><publisher>United States: John Wiley & Sons, Incorporated</publisher><subject>artificial intelligence ; data value chain ; hard‐coding programming techniques ; information architecture ; long‐term viability ; overloading ; vehicle identification number</subject><ispartof>Smarter Data Science, 2020, p.199-221</ispartof><rights>2020 John Wiley & Sons, Inc.</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttps://ebookcentral.proquest.com/covers/6173692-l.jpg</thumbnail><link.rule.ids>779,780,784,793,27924</link.rule.ids></links><search><contributor>Fishman, Neal</contributor><contributor>Stryker, Cole</contributor><creatorcontrib>Stryker, Cole</creatorcontrib><creatorcontrib>Fishman, Neal</creatorcontrib><title>Constructing for the Long-Term</title><title>Smarter Data Science</title><description>This chapter addresses a number of issues that can inhibit the long‐term viability of an information architecture and artificial intelligence. 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subjects | artificial intelligence data value chain hard‐coding programming techniques information architecture long‐term viability overloading vehicle identification number |
title | Constructing for the Long-Term |
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