Unlocking digital super powers: Being responsive to change is now par for the course within industry, but how can digital transformation be accelerated?
There is a massive opportunity for digitisation in industrial sectors such as oil and gas Tools to monitor, interpret and analyse data in real-time are key Predictability and transparency are the core requirements for regional industry Using machine learning to predict downtime is leading digital tr...
| Publicado en: | MEED Business Review Vol. 4; no. 11; pp. 63 - 64 |
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| Formato: | Artículo |
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MEED Media FZ LLC
Nov2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=141064882&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 141064882 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 23977310 KHV5 jtl: MEED Business Review issn: 23977310 maglogo: N pubinfo: dt: Nov2019 vid: 4 iid: 11 pid: 13572 pub: MEED Media FZ LLC artinfo: ui: 141064882 ppf: 63 ppct: 1 formats: tig: atl: Unlocking digital super powers: Being responsive to change is now par for the course within industry, but how can digital transformation be accelerated? aug: au: Awad, Mohamad affil: Vice-president, Mena region, Aveva su: Industrial productivity Artificial intelligence Manufacturing processes Innovation adoption sug: subj: Industrial productivity Artificial intelligence Manufacturing processes Innovation adoption ab: There is a massive opportunity for digitisation in industrial sectors such as oil and gas Tools to monitor, interpret and analyse data in real-time are key Predictability and transparency are the core requirements for regional industry Using machine learning to predict downtime is leading digital transformation in the global downstream industry Q. Why is digital transformation so important for industrial customers? Based on first principle simulation, process optimisation modelling allows businesses to anticipate opportunities and be nimble enough to leverage opportunities for profit - whether through anticipatory procurement, predictive maintenance or evaluating process changes before they are deployed. Industry 4.0 has captured imaginations because of its possibilities, but technologies such as loT, artificial intelligence and machine learning also require domain expertise and case specific innovations to be optimal. pubtype: Trade Publication doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2019 holdings: @attributes: islocal: N |
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