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      GE發布“數字工業發展指數”研究

      http://www.kblhh.cn 2017-10-31 16:07 《中華工控網》翻譯

      GE releases Digital Industrial Evolution Index research
      GE發布“數字工業發展指數”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大會上,GE公布了一份研究,突出高管對數字化轉型的展望與企業實施舉措之間的新差距。對信息技術(IT)和運營決策者的調查發現,雖然這些公司將工業物聯網(IIoT)視為未來增長和競爭力的重要機會,但絕大多數并沒有采取必要的行動從而受益于這些機會。

      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.

      根據這份報告,行業高管對工業互聯網潛力的樂觀態度令人震驚。百分之八十的人認為,工業物聯網將會或有可能是公司和行業的轉型方向。更多的人認為,數字化工業轉型對于競爭力來說至關重要。與此同時,只有8%的高管認為數字化轉型已經深植其業務,而10%的人沒有數字化轉型計劃。

      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:

      基于此研究報告,GE創建了“GE數字工業發展指數”,以跟蹤數字化轉型的實際進展——從工業物聯網展望到轉型準備。首份指數得分為63分(總分100),這表明雖然工業互聯網的前景非常強勁(得分78.3,總分100),但公司準備情況顯著滯后(得分55.2,總分100)。這種前景展望與公司準備就緒之間的差距,為尋求受益于工業物聯網的公司帶來挑戰,以及機遇。其他調查結果包括:

      •    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

      •  數字化轉型對增長和競爭力至關重要:86%的人認為,數字化工業轉型對公司的競爭力至關重要,其中大多數(76%)認為提供更優質服務的能力是數字化工業轉型的首要成果。
      •  工業物聯網最重要的是連接能力和工業應用:IT和運營決策者(IT/OTDM)絕大多數將連接能力(63%)和工業應用(58%)作為數字化轉換所需的主要技術。
      •  工業物聯網平臺、應用程序和分析是投資優先項:受訪者將工業物聯網就緒平臺(22%)、工業應用程序(14%)和大數據分析(14%)視為投資的最重要技術。
      •  成本問題:大多數受訪者將投資成本(42%)視為數字化轉型的主要障礙,其次是系統安全(32%)和數據隱私(32%)。
      •  數字化轉型將需要組織變革:54%的IT和運營決策者認為他們的組織需要轉型才能實現數字化轉型。
          o   66%的人認為數據分析師需要融入所有部門/單位
          o   61%的人認為,IT職能需要成為公司中央運作功能的一部分
          o   55%的人認為他們的公司有責任確保員工為工業物聯網做好準

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