Technical Debt and Digital Transformation(數位轉型好難？先清除工作「流程債」，讓AI徹底發威)

紅豆泥-數位轉型

AI and Process Debt
Process Debt and Digital Transformation
Eliminate work "process debt" and let AI fully show its power: the key to successful digital transformation
This article analyzes and discusses the challenges faced by enterprises in the process of digital transformation, and points out that solving the problem of "process debt" is the key to fully realizing the potential of AI.
Main points:
AI has huge potential but faces challenges: AI has huge potential to change the way work is done and even accomplish tasks previously thought impossible. However, many businesses face challenges in leveraging AI, with a PwC survey showing that 84% of C-suite executives consider deriving significant value from new technology to be a significant challenge.
Process debt hinders digital transformation: The authors define “process debt” as old and outdated ways of working that, like technical debt, prevent companies from taking full advantage of new technologies, including AI.
Solution: Eliminate process debt and unleash the potential of AI: The article emphasizes that to fully realize the potential of AI, companies must solve the problem of "process debt". Leaders should take steps to gradually shed process debt to fully reap the benefits of new technologies.
The article takes an emergency room doctor as an example: Doctors click the mouse an average of 4,000 times every 10 hours on duty. If some of the work can be handed over to AI or even used to enhance doctors' intelligence, a lot of time and energy can be saved and efficiency can be improved.
Important facts:
PwC’s 2023 Emerging Technology Big Survey found that 54% of companies are already implementing generative AI in some area of ​​their business.
PwC has identified more than 3,000 AI use cases.
Original quote:
"Artificial intelligence (AI), much like many digital activities that have come before it, has huge potential to help change the way we work and even do things we thought were impossible before."
"Many organizations have launched dozens, if not hundreds, of initiatives to harness the power of AI."
"In PwC's June 2024 Pulse Survey, 84% of senior executives said deriving demonstrable value from new technologies is a significant challenge."
Summarize:
The article calls on enterprises to not only pay attention to the adoption of new technologies when pursuing digital transformation, but also to pay attention to solving the problem of "process debt". Only by clearing away old ways of working can AI truly realize its potential and bring real value to the enterprise.
數位轉型好難？先清除工作「流程債」，讓AI徹底發威
清除工作「流程債」，讓AI徹底發威：數位轉型成功關鍵
本文分析探討了企業在數位轉型過程中面臨的挑戰，並指出解決「流程債」問題是充分發揮AI潛力的關鍵。
主要觀點：

• AI 潛力巨大但面臨挑戰: AI 擁有巨大的潛力，可以改變工作方式，甚至完成以前認為不可能的任務。然而，許多企業在利用 AI 方面面臨挑戰，PwC 的調查顯示，84% 的高階主管認為從新科技中獲得顯著價值是一項重大挑戰。
• 流程債阻礙數位轉型: 作者將「流程債」定義為老舊過時的工作方式，這些方式如同技術債務一樣，會阻礙企業充分利用新技術，包括 AI。
• 解決方案：清除流程債，釋放 AI 潛力: 文章強調，要充分發揮 AI 的潛力，企業必須解決「流程債」問題。領導者應該採取措施，逐步擺脫流程債，才能充分享受新科技帶來的好處。
• 文章以急診室醫生為例： 醫生每值班10小時平均點擊滑鼠4000次，若能將部分工作交給 AI 甚至利用 AI 增強醫生智慧，便能節省大量時間和精力，提升效率。

重要事實：

• PwC 的 2023 年新興科技大調查發現，54% 的公司已經在某些業務領域執行生成式 AI。
• PwC 已經找出超過 3,000 個 AI 使用案例。

原文引用：

• "人工智慧（AI）很像之前出現的許多數位化活動，擁有巨大的潛力，可以幫忙改變工作方式，甚至可以做到我們以前認為不可能的工作。"
• "許多組織已經推出了數十項（甚至數百項）計畫，想好好利用AI的威力。"
• "在PwC的2024年6月脈動調查（June 2024 Pulse Survey）中，84％的高階主管表示，要從新科技獲得明顯的價值是一項重大挑戰。"

總結：
文章呼籲企業在追求數位轉型時，不僅要關注新技術的採用，更要重視解決「流程債」問題。唯有清除舊有的工作方式，才能讓 AI 真正發揮其潛力，為企業帶來真正的價值。
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