DHL近來與IBM發(fā)布了一份聯(lián)合陳述，對(duì)人工智能（AI）在物流職業(yè)的發(fā)展?jié)摿M(jìn)行了評(píng)價(jià)，并提醒了怎么更好地運(yùn)用人工智能實(shí)施物流職業(yè)革新，添加新智能物流資產(chǎn)，發(fā)明運(yùn)營模范。
In a joint report, DHL and IBM have evaluated the potential of Artificial Intelligence (AI) in logistics and exposed how it can be best applied to transform the industry, giving rise to a new class of intelligent logistics assets and operational paradigms.
DHL和IBM論述了在人工智能的功能、可完成性和本錢等方面均完成打破的情況下，物流職業(yè)的領(lǐng)導(dǎo)者該如何運(yùn)用人工智能的中心優(yōu)勢(shì)和時(shí)機(jī)。
DHL and IBM outline how supply chain leaders can take advantage of AIs key benefits and opportunities now that performance, accessibility as well as costs are more favourable than ever before.
該協(xié)作陳述指明晰人工智能對(duì)物流職業(yè)的影響以及相關(guān)運(yùn)用，認(rèn)為人工智能有望明顯增強(qiáng)人類的才能。
The collaborative report identifies implications and use cases of AI for the logistics industry, finding that AI has the potential to significantly augment human capabilities.
人工智能在消費(fèi)范疇已無處不在，語音幫手運(yùn)用的快速增長便是有力的證明。
While AI is already ubiquitous in the consumer realm, as demonstrated by the rapid growth of voice assistant applications.
與此一起，DHL和IBM發(fā)現(xiàn)人工智能技能正在快速老練，可認(rèn)為物流職業(yè)帶來新的運(yùn)用。
DHL and IBM find that AI technologies are maturing at great pace, allowing for additional applications for the logistics industry.
比方協(xié)助物流供貨商經(jīng)過會(huì)話式互動(dòng)來豐厚客戶體會(huì)，乃至能在客戶下指令前就開端投遞產(chǎn)品。
These can, for instance, help logistics providers enrich customer experiences through conversational engagement and even deliver articles before the customer has even ordered them.
DHL高檔副總裁兼全球立異主管Matthias Heutger表明：“現(xiàn)在的技能、商業(yè)和社會(huì)情況比以往更適合對(duì)物流運(yùn)作形式改動(dòng)進(jìn)行展望和猜想。
“Today’s current technology, business, and societal conditions favour a paradigm shift to proactive and predictive logistics operations more than any previous time in history” explains Matthias Heutger, Senior Vice President and Global Head of Innovation DHL.
跟著人工智能范疇技能的飛速發(fā)展，咱們有職責(zé)協(xié)同咱們的客戶和職工，一起討論人工智能怎么刻畫物流職業(yè)的未來。”
As the technological progress in the field of AI is proceeding at great pace, we see it as our duty to explore, together with our customers and employees, how AI will shape the logistics industry’s future.”
許多職業(yè)已成功將人工智能運(yùn)用于日常事務(wù)。比方，在工程和制作職業(yè)，人工智能正在出產(chǎn)線中發(fā)揮作用，經(jīng)過圖像識(shí)別和會(huì)話界面來簡化出產(chǎn)和保護(hù)。
Many industries have already successfully adopted AI into their everyday business, such as the engineering and manufacturing industry: AI is being used in production lines to help streamline production and maintenance through image recognition and conversational interfaces.
在轎車業(yè)，經(jīng)過人工智能來進(jìn)步主動(dòng)駕駛轎車自學(xué)才能的呼聲很高。
In the automotive industry, AI is being extensively called upon to enhance the self-learning capabilities of autonomous vehicles.
越來越多的比如證明晰人工智能有許多優(yōu)勢(shì)，有才能在改動(dòng)顧客國際后再改動(dòng)工業(yè)國際。
Many more examples evidence AI’s benefits with the ability to transform the world of industry after its transformational impact on the consumer world.
有了人工智能的協(xié)助，物流職業(yè)將把其運(yùn)營形式從被迫行為改動(dòng)為積極主動(dòng)的猜想形式，花費(fèi)較少的本錢在后臺(tái)體系、運(yùn)營和面向客戶的活動(dòng)中發(fā)生更好的洞悉。
With the help of AI, the logistics industry will shift its operating model from reactive actions to a proactive and predictive paradigm, which will generate better insights at favourable costs in back office, operational and customer-facing activities.
例如，DHL開發(fā)了一種根據(jù)機(jī)器學(xué)習(xí)的東西來猜想空運(yùn)延誤情況，以預(yù)先采納緩解辦法。
For example, DHL has developed a machine learning-based tool to predict air freight transit time delays in order to enable proactive mitigation.
經(jīng)過對(duì)其內(nèi)部數(shù)據(jù)的58個(gè)不同參數(shù)進(jìn)行剖析，這一機(jī)器學(xué)習(xí)模型能夠提早一周對(duì)特定航線的日均勻通行時(shí)刻進(jìn)行猜想。
By analyzing 58 different parameters of internal data, the machine learning model is able to predict if the average daily transit time for a given lane is expected to rise or fall up to a week in advance.
此外，它還能確認(rèn)導(dǎo)致運(yùn)送延誤的主要要素，比方是動(dòng)身日之類的時(shí)刻要素，或是航空公司按時(shí)率等方面的運(yùn)營要素，
Furthermore, this solution is able to identify the top factors influencing shipment delays, including temporal factors like departure day or operational factors such as airline on-time performance.
有助于空運(yùn)代理商提早進(jìn)行科學(xué)方案，而不是只能靠片面猜想。
This can help air freight forwarders plan ahead by removing subjective guesswork around when or with which airline their shipments should fly.
人工智能技能能夠運(yùn)用先進(jìn)的圖像識(shí)別來盯梢貨運(yùn)和財(cái)物情況，為運(yùn)送帶來端到端的自主性，或提早猜想全球出貨量動(dòng)搖。
AI technologies can use advanced image recognition to track condition of shipments and assets, bring end-to-end autonomy to transportation, or predict fluctuations in global shipment volumes before they occur.
近期中外運(yùn)-敦豪國際航空快件有限公司取得專利的“小型高效主動(dòng)分揀設(shè)備”就運(yùn)用了圖像識(shí)別技能，在進(jìn)行快件分揀的一起，主動(dòng)獲取數(shù)據(jù)，并對(duì)接DHL的相應(yīng)體系進(jìn)行數(shù)據(jù)上傳。
Recently, DHL-Sinotrans has obtained a patent for its auto sorting. Leveraging image recognition technology, the device can acquire data automatically and upload the collected data to relevant DHL systems while sorting shipments.
明顯，人工智能增強(qiáng)了人的才能，也讓物流人員從日常工作中解放出來，將工作重點(diǎn)轉(zhuǎn)向更有意義和價(jià)值的方向。
Clearly, AI augments human capabilities but also eliminates routine work, which will shift the focus of logistics workforces to more meaningful and value-added work.
就像人工智能現(xiàn)在在消費(fèi)范疇無處不在相同，未來的人工智能將在工業(yè)范疇得到廣泛運(yùn)用。
AI will develop to become as omnipresent in the industrial sector as it currently is in the consumer world.
人工智能致力于將物流職業(yè)改動(dòng)為積極主動(dòng)、具有猜想性、主動(dòng)化和個(gè)性化的職業(yè)。
AI stands to transform the logistics industry into a proactive, predictive, automated and personalized branch.
有鑒于此，該陳述論述了物流企業(yè)怎么捉住先機(jī)，將人工智能技能運(yùn)用到全球供應(yīng)鏈中的最佳實(shí)踐與辦法。
Considering this, the report provides perspectives and best practices on how logistics players can seize and adopt AI in their global supply chains.

http://www.guestlion.cn/wuliuwenda/27322.html AI+物流的使用與開展，在物流職業(yè)起到什么效果