DHL近來與IBM發布了一份聯合陳述，對人工智能（AI）在物流職業的發展潛力進行了評價，并提醒了怎么更好地運用人工智能實施物流職業革新，添加新智能物流資產，發明運營模范。
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，物流職業的領導者該如何運用人工智能的中心優勢和時機。
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.
該協作陳述指明晰人工智能對物流職業的影響以及相關運用，認為人工智能有望明顯增強人類的才能。
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.
人工智能在消費范疇已無處不在，語音幫手運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發現人工智能技能正在快速老練，可認為物流職業帶來新的運用。
DHL and IBM find that AI technologies are maturing at great pace, allowing for additional applications for the logistics industry.
比方協助物流供貨商經過會話式互動來豐厚客戶體會，乃至能在客戶下指令前就開端投遞產品。
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：“現在的技能、商業和社會情況比以往更適合對物流運作形式改動進行展望和猜想。
“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展，咱們有職責協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.”
許多職業已成功將人工智能運用于日常事務。比方，在工程和制作職業，人工智能正在出產線中發揮作用，經過圖像識別和會話界面來簡化出產和保護。
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，經過人工智能來進步主動駕駛轎車自學才能的呼聲很高。
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勢，有才能在改動顧客國際后再改動工業國際。
Many more examples evidence AI’s benefits with the ability to transform the world of industry after its transformational impact on the consumer world.
有了人工智能的協助，物流職業將把其運營形式從被迫行為改動為積極主動的猜想形式，花費較少的本錢在后臺體系、運營和面向客戶的活動中發生更好的洞悉。
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開發了一種根據機器學習的東西來猜想空運延誤情況，以預先采納緩解辦法。
For example, DHL has developed a machine learning-based tool to predict air freight transit time delays in order to enable proactive mitigation.
經過對其內部數據的58個不同參數進行剖析，這一機器學習模型能夠提早一周對特定航線的日均勻通行時刻進行猜想。
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，它還能確認導致運送延誤的主要要素，比方是動身日之類的時刻要素，或是航空公司按時率等方面的運營要素，
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.
有助于空運代理商提早進行科學方案，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用先進的圖像識別來盯梢貨運和財物情況，為運送帶來端到端的自主性，或提早猜想全球出貨量動搖。
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-敦豪國際航空快件有限公司取得專利的“小型高效主動分揀設備”就運用了圖像識別技能，在進行快件分揀的一起，主動獲取數據，并對接DHL的相應體系進行數據上傳。
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，將工作重點轉向更有意義和價值的方向。
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.
就像人工智能現在在消費范疇無處不在相同，未來的人工智能將在工業范疇得到廣泛運用。
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改動為積極主動、具有猜想性、主動化和個性化的職業。
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怎么捉住先機，將人工智能技能運用到全球供應鏈中的最佳實踐與辦法。
Considering this, the report provides perspectives and best practices on how logistics players can seize and adopt AI in their global supply chains.

http://m.jintingqj.cn/wuliuwenda/27322.html AI+物流的使用與開展，在物流職業起到什么效果