如果說(shuō)互聯(lián)網(wǎng)是傳統(tǒng)企業(yè)躲不過(guò)的一場(chǎng)“浩劫”，那么人工智能或?qū)⒊蔀樗麄冏晕?ldquo;救贖”和“逆襲”的一次重要機(jī)會(huì)。其中的的砝碼，就是數(shù)據(jù)。
If the Internet is a "catastrophe" for traditional companies, artificial intelligence may be an important opportunity for them to "redeem themselves" and "reverse". The weight is the data.
據(jù)IBM商業(yè)價(jià)值研究院近期發(fā)布的最新全球企業(yè)高管調(diào)研報(bào)告表明，數(shù)據(jù)已經(jīng)成為現(xiàn)有企業(yè)最強(qiáng)大的資產(chǎn)，其中擁有全球80％數(shù)據(jù)的傳統(tǒng)企業(yè)正在與其員工一起利用這些龐大的數(shù)據(jù)創(chuàng)造新的競(jìng)爭(zhēng)優(yōu)勢(shì)。
“正因如此，行業(yè)經(jīng)驗(yàn)和核心技術(shù)能力比以往任何時(shí)候都變得更具價(jià)值。如何妥善地把人工智能和數(shù)據(jù)結(jié)合起來(lái)，挖掘企業(yè)防火墻背后數(shù)據(jù)的價(jià)值，從而給企業(yè)帶來(lái)新的商業(yè)洞察和機(jī)遇，成為當(dāng)下最重要的問(wèn)題。”IBM大中華區(qū)董事長(zhǎng)陳黎明在日前的IBM THINK論壇上這樣表示。
"This is why industry experience and core technical capabilities are more valuable than ever before. How to properly combine artificial intelligence and data, the value of mining enterprise data behind the firewall, so as to bring new business insight and opportunity, to become the most important problems." Chen liming, chairman of IBM greater China, said on the recent IBM THINK BBS.
“當(dāng)然，這是一個(gè)非常艱難的過(guò)程，不僅僅涉及到戰(zhàn)略的調(diào)整、技術(shù)路線和技術(shù)方案的選型，還涉及組織架構(gòu)、企業(yè)文化和人才的變革。”他說(shuō)。
智能自動(dòng)化是全工作場(chǎng)景的自動(dòng)化
"Of course, this is a very difficult process, not only involves the strategic adjustment, technical route and the technical scheme selection, also involves the organization structure, enterprise culture and the transformation of the talent." He said.
據(jù)此，IBM提出企業(yè)要從平臺(tái)、流程、人才三個(gè)方面入手主動(dòng)變革，從而實(shí)現(xiàn)面向未來(lái)的智慧商業(yè)。
在IBM看來(lái)，人工智能將融入未來(lái)系統(tǒng)的各個(gè)方面，使其具有自我學(xué)習(xí)能力，并且在無(wú)需人為干預(yù)的情況下就可以完成非決定性的任務(wù)。而通過(guò)自動(dòng)化把技術(shù)注入到機(jī)器人中，結(jié)合機(jī)器學(xué)習(xí)、自然語(yǔ)言處理和分析能力，也將持續(xù)擴(kuò)展人工智能應(yīng)用的深度和廣度。
于是，區(qū)別于傳統(tǒng)的自動(dòng)化，IBM又提出了智能自動(dòng)化的理念，強(qiáng)調(diào)完全基于數(shù)據(jù)的，以人工智能為主導(dǎo)，由機(jī)器自主學(xué)習(xí)的自動(dòng)化過(guò)程。
在接受記者采訪時(shí)，IBM全球企業(yè)咨詢(xún)服務(wù)部中國(guó)區(qū)業(yè)務(wù)流程自動(dòng)化負(fù)責(zé)人王言表示，這里所指的自動(dòng)化不僅僅是發(fā)生在制造工廠的自動(dòng)化，還包括了工作方式、業(yè)務(wù)流程、管理運(yùn)營(yíng)等在內(nèi)的工作場(chǎng)景的自動(dòng)化。它將提高企業(yè)在更高維度的市場(chǎng)競(jìng)爭(zhēng)力。
n an interview with reporters, IBM global business services, business process automation, head Wang Yan, said here refers to automation is not only happened in factory automation, also includes the way of working, business processes, management, operations, such as automation work scene. It will enhance the market competitiveness of enterprises in higher dimensions.
驅(qū)動(dòng)這樣一次變革的要素主要包括幾個(gè)方面。首先，是大量輕量級(jí)的、快速且對(duì)安全級(jí)別要求極高的業(yè)務(wù)在企業(yè)中的推進(jìn)，改變了數(shù)字化運(yùn)營(yíng)模型；其次，是隨著數(shù)字化技術(shù)的應(yīng)用，改變了企業(yè)工作結(jié)構(gòu)和資源分配方式；再者，是新模式下運(yùn)營(yíng)成本和效率的重新估算，使得數(shù)字化勞動(dòng)力解決了原有以人力為基礎(chǔ)的運(yùn)營(yíng)規(guī)?；瘑?wèn)題。
The factors driving such a change are mainly several aspects. First of all, it is a large number of lightweight, fast and highly demanding business in the enterprise, changing the digital operation model; Secondly, with the application of digital technology, the enterprise work structure and resource
王言從信息數(shù)據(jù)的獲取、處理、決策、監(jiān)督四個(gè)業(yè)務(wù)環(huán)節(jié)介紹了人工智能結(jié)合自動(dòng)化所帶來(lái)的影響。
譬如，在信息獲取環(huán)節(jié)，就可以通過(guò)圖像識(shí)別技術(shù)把非結(jié)構(gòu)化數(shù)據(jù)轉(zhuǎn)變?yōu)榻Y(jié)構(gòu)化數(shù)據(jù)，通過(guò)自然語(yǔ)言處理就可以把語(yǔ)音轉(zhuǎn)成文字，以便于將數(shù)據(jù)錄入系統(tǒng)；再譬如，在決策環(huán)節(jié)，過(guò)去系統(tǒng)是為人提供輔助的，最終仍由人作決策，但未來(lái)的系統(tǒng)將主導(dǎo)許多工作的推進(jìn)，其自動(dòng)化將是基于數(shù)據(jù)的，讓機(jī)器自主決策、自主修復(fù)，并通過(guò)識(shí)別語(yǔ)義進(jìn)行推論。
system; Again, for example, in the decision, the system is to provide auxiliary, is ultimately still make decisions by man, but the future of the system will be dominated by a lot of work, the automation will be based on the data, let the machine independent decision making, repair, and by identifying the semantic inference.
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