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GE releases Digital Industrial Evolution Index research
GE發(fā)布“數(shù)字工業(yè)發(fā)展指數(shù)”研究

At its Minds + Machines conference, GE unveiled research highlighting an emerging gap between executive outlook for digital transformation and initiatives companies have put in place. The survey of Information Technology (IT) and Operations decision makers found that while companies see the Industrial Internet of Things (IIoT) as presenting significant opportunities for future growth and competitiveness, the vast majority are not taking the actions required to benefit from those opportunities.

在其Minds + Machines大會(huì)上，GE公布了一份研究，突出高管對(duì)數(shù)字化轉(zhuǎn)型的展望與企業(yè)實(shí)施舉措之間的新差距。對(duì)信息技術(shù)（IT）和運(yùn)營(yíng)決策者的調(diào)查發(fā)現(xiàn)，雖然這些公司將工業(yè)物聯(lián)網(wǎng)（IIoT）視為未來(lái)增長(zhǎng)和競(jìng)爭(zhēng)力的重要機(jī)會(huì)，但絕大多數(shù)并沒(méi)有采取必要的行動(dòng)從而受益于這些機(jī)會(huì)。

According to the study, optimism among industry executives for the potential of the Industrial Internet is striking. Eighty percent believe the IIoT will or could be transformational to their companies and industries. Even more consider digital industrial transformation to be important to their competitiveness. At the same time, only 8 percent of those executives say digital transformation is ingrained in their businesses, and 10 percent do not have a digital transformation plan in place.

根據(jù)這份報(bào)告，行業(yè)高管對(duì)工業(yè)互聯(lián)網(wǎng)潛力的樂(lè)觀態(tài)度令人震驚。百分之八十的人認(rèn)為，工業(yè)物聯(lián)網(wǎng)將會(huì)或有可能是公司和行業(yè)的轉(zhuǎn)型方向。更多的人認(rèn)為，數(shù)字化工業(yè)轉(zhuǎn)型對(duì)于競(jìng)爭(zhēng)力來(lái)說(shuō)至關(guān)重要。與此同時(shí)，只有8％的高管認(rèn)為數(shù)字化轉(zhuǎn)型已經(jīng)深植其業(yè)務(wù)，而10％的人沒(méi)有數(shù)字化轉(zhuǎn)型計(jì)劃。

Based on the research study, GE created the GE Digital Industrial Evolution Index to track the real progress of digital transformation – from outlook on the IIoT to readiness to transform. The inaugural Index reflects a total score of 63 on a scale of 100 and indicates that while outlook for the Industrial Internet is very strong, scoring 78.3 (out of 100), company readiness significantly lags, scoring 55.2 (out of 100). This disconnect – between outlook and company readiness – presents both a challenge and opportunity for companies seeking to benefit from the IIoT. Additional survey findings included:

基于此研究報(bào)告，GE創(chuàng)建了“GE數(shù)字工業(yè)發(fā)展指數(shù)”，以跟蹤數(shù)字化轉(zhuǎn)型的實(shí)際進(jìn)展——從工業(yè)物聯(lián)網(wǎng)展望到轉(zhuǎn)型準(zhǔn)備。首份指數(shù)得分為63分（總分100），這表明雖然工業(yè)互聯(lián)網(wǎng)的前景非常強(qiáng)勁（得分78.3，總分100），但公司準(zhǔn)備情況顯著滯后（得分55.2，總分100）。這種前景展望與公司準(zhǔn)備就緒之間的差距，為尋求受益于工業(yè)物聯(lián)網(wǎng)的公司帶來(lái)挑戰(zhàn)，以及機(jī)遇。其他調(diào)查結(jié)果包括：

•    Digital Transformation Critical to Growth and Competitiveness: 86% believe digital industrial transformation is important to the competitiveness of their companies, with the majority (76%) rating the ability to provide higher quality services as the foremost outcome of digital industrial transformation.
•    Connectivity and Industrial Apps Most Critical for IIoT: IT and Operations Decision Makers (IT/OTDMs) overwhelmingly cited connectivity (63%) and industrial applications (58%) as the primary technologies required for digital transformation.
•    IIoT Platform, Apps and Analytics Priority Investments: Respondents view an IIoT-ready platform (22%), Industrial Applications (14%) and Big Data Analytics (14%) as the most important technologies to invest in.
•    Cost Matters: Most respondents cited investment costs (42%) as the leading barrier to digital transformation, followed by system security (32%) and data privacy (32%) concerns.
•    Digital Transformation Will Require Organizational Change: 54% of IT/OTDMs believe their organizations need to transform to enable digital transformation.
    o    66% believe data analysts will need to be integrated into all departments/units
    o    61% believe IT functions will need to become part of the central operating function of their company
    o    55% believe their companies are responsible for ensuring the workforce is ready for the IIoT

•  數(shù)字化轉(zhuǎn)型對(duì)增長(zhǎng)和競(jìng)爭(zhēng)力至關(guān)重要：86％的人認(rèn)為，數(shù)字化工業(yè)轉(zhuǎn)型對(duì)公司的競(jìng)爭(zhēng)力至關(guān)重要，其中大多數(shù)（76％）認(rèn)為提供更優(yōu)質(zhì)服務(wù)的能力是數(shù)字化工業(yè)轉(zhuǎn)型的首要成果。
•  工業(yè)物聯(lián)網(wǎng)最重要的是連接能力和工業(yè)應(yīng)用：IT和運(yùn)營(yíng)決策者（IT/OTDM）絕大多數(shù)將連接能力（63％）和工業(yè)應(yīng)用（58％）作為數(shù)字化轉(zhuǎn)換所需的主要技術(shù)。
•  工業(yè)物聯(lián)網(wǎng)平臺(tái)、應(yīng)用程序和分析是投資優(yōu)先項(xiàng)：受訪(fǎng)者將工業(yè)物聯(lián)網(wǎng)就緒平臺(tái)（22％）、工業(yè)應(yīng)用程序（14％）和大數(shù)據(jù)分析（14％）視為投資的最重要技術(shù)。
•  成本問(wèn)題：大多數(shù)受訪(fǎng)者將投資成本（42％）視為數(shù)字化轉(zhuǎn)型的主要障礙，其次是系統(tǒng)安全（32％）和數(shù)據(jù)隱私（32％）。
•  數(shù)字化轉(zhuǎn)型將需要組織變革：54％的IT和運(yùn)營(yíng)決策者認(rèn)為他們的組織需要轉(zhuǎn)型才能實(shí)現(xiàn)數(shù)字化轉(zhuǎn)型。
    o   66％的人認(rèn)為數(shù)據(jù)分析師需要融入所有部門(mén)/單位
    o   61％的人認(rèn)為，IT職能需要成為公司中央運(yùn)作功能的一部分
    o   55％的人認(rèn)為他們的公司有責(zé)任確保員工為工業(yè)物聯(lián)網(wǎng)做好準(zhǔn)