aws人工智能云服务 aws人工智能云服务是什么

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大家好,今天来为大家解答aws人工智能云服务这个问题的一些问题点,包括aws人工智能云服务是什么也一样很多人还不知道,因此呢,今天就来为大家分析分析,现在让我们一起来看看吧!如果解决了您的问题,还望您关注下本站哦,谢谢~

本文目录

  1. 大数据、云计算、人工智能之间有什么样的关系
  2. aws的分类
  3. 云计算,大数据和人工智能三者之间的关系
  4. 亚马逊的人工智能之路

大数据、云计算、人工智能之间有什么样的关系

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亚马逊的人工智能之路

Thelearningmachine

瀛︿範鏈哄櫒

Theonlinecommercialempirerestsonalow-keyapproachtoartificialintelligence

杩欏浜掕仈缃戝晢涓氬笣鍥藉湪浜哄伐鏅鸿兘鐨勫彂灞曚笂閫夋嫨浜嗕竴鏉′綆璋冪殑璺?

Amazon鈥檚six-pagememosarefamous.Executivesmustwriteoneeveryyear,layingouttheirbusinessplan.Lesswellknownisthatthesemissivesmustalwaysansweronequestioninparticular:howareyouplanningtousemachinelearning?Responseslike鈥渘otmuch鈥?are,accordingtoAmazonmanagers,discouraged.

浜氶┈閫婄殑鍏〉澶囧繕褰曞崄鍒嗗嚭鍚嶏紝鎵ц瀹樹滑姣忓勾蹇呴』鎸夎姹傚啓涓€椤碉紝璇︾粏闃愯堪鑷繁鏈潵鐨勫晢涓氳鍒掋€備絾涓嶅お鍑哄悕鐨勪竴鐐规槸锛屾瘡涓€灏佷俊鍑藉繀椤诲洖绛斾竴涓叿浣撶殑闂锛氫綘鎵撶畻鎬庝箞鍒╃敤鏈哄櫒瀛︿範锛熷鏋滀綘鐨勫洖绛旀槸鈥滄病浠€涔堝彲璇寸殑鈥濓紝鏍规嵁浜氶┈閫婄鐞嗗眰鐨勮娉曪紝杩欑绛旀鏄笉鍏佽鍑虹幇鐨勩€?br/>

Machinelearningisaformofartificialintelligence(ai)whichminesdataforpatternsthatcanbeusedtomakepredictions.IttookrootatAmazonin1999whenJeffWilkejoinedthefirm.MrWilke,whotodayissecond-in-commandtoJeffBezos,setupateamofscientiststostudyAmazon鈥檚internalprocessesinordertoimprovetheirefficiency.Hewovehisboffinsintobusinessunits,turningacycleofself-assessmentandimprovementintothedefaultpattern.Soonthecycleinvolvedmachine-learningalgorithms;thefirstonerecommendedbooksthatcustomersmightlike.AsMrBezos鈥檚ambitionsgrew,sodidtheimportanceofautomatedinsights.

鏈哄櫒瀛︿範鏄汉宸ユ櫤鑳界殑涓€绉嶅疄鐜伴€斿緞锛屽畠涓昏鍖呮嫭鐗瑰畾绫诲瀷鐨勬暟鎹寲鎺橈紝涓昏鐩殑鏄鏈潵瓒嬪娍杩涜棰勬祴銆?999骞村綋鏉板か路缁村皵鍏嬶紙JeffWilke锛夊姞鍏ュ叕鍙哥殑鏃跺€欙紝杩欎竴鎯虫硶灏卞紑濮嬭惤鍦颁簡銆傜淮灏斿厠鍏堢敓鏄簹椹€婂叕鍙哥殑绗簩鎶婁氦妞咃紝浠栫粍寤轰簡涓€涓汉宸ユ櫤鑳戒笓瀹剁粍锛屼富瑕佽礋璐d簹椹€婂唴閮ㄥ伐浣滄祦绋嬬殑鐮旂┒锛岀洰鐨勫湪浜庢彁楂樺憳宸ョ殑宸ヤ綔鏁堢巼銆備粬灏嗙瀛﹀浠畨鎺掑湪鍚勪紒浜嬩笟閮ㄩ棬锛屽皢涓嶆柇寰幆鐨勮嚜鎴戣瘎浠峰拰鎻愰珮杩囩▼鍥哄畾涓轰竴涓粯璁ゆā寮忥紝寰堝揩杩欎釜寰幆灏卞姞鍏ヤ簡绠楁硶锛涚涓€浠g畻娉曞彲浠ュ悜椤惧鎺ㄨ崘浠栦滑鍠滄鐨勫浘涔︺€傞殢鐫€璐濅綈鏂厛鐢熺殑閲庡績瓒婃潵瓒婅啫鑳€锛岃繖绉嶅叏鑷姩鐨勭畻娉曟帹鑽愭ā寮忎篃鏄惧緱瓒婃潵瓒婇噸瑕併€?br/>

Yetwhereasitsfellowtechtitansflaunt

鍏朵粬绉戞妧宸ㄥご鏈変粈涔堝彲鐐€€鐨?br/>

theiraiprowessateveryopportunity鈥擣acebook鈥檚facial-recognitionsoftware,Apple鈥檚SiridigitalassistantorAlphabet鈥檚self-drivingcarsandmastergoplayer鈥擜mazonhasadoptedalower-keyapproachtomachinelearning.Yes,itsAlexacompeteswithSiriandthecompanyofferspredictiveservicesinitscloud.Butthealgorithmsmostcriticaltothecompany鈥檚successarethoseitusestoconstantlystreamlineitsownoperations.Thefeedbacklooplooksthesameasinitsconsumer-facingai:buildaservice,attractcustomers,gatherdata,andletcomputerslearnfromthesedata,allatascalethathumanlaborcouldnotemulate.

绉戞妧宸ㄥご浠姄浣忎竴鍒囨満浼氬睍鐜拌嚜宸卞湪AI鏂归潰鐨勫疄鍔涳細鑴镐功鎺ㄥ嚭浜嗛潰閮ㄨ瘑鍒蒋浠讹紝鑻规灉鎷ユ湁璇煶鍔╂墜Siri锛岃胺姝屾帹鍑轰簡鏃犱汉椹鹃┒鍜岄樋灏旀硶Go銆傚拰杩欎簺鍏徃鐩告瘮锛屼簹椹€婂湪鏈哄櫒瀛︿範涓婇€夋嫨浜嗕竴鏉′綆璋冪殑璺€侫lexa锛堜簹鍘嗗厠鏂級鏄簹椹€婂叕鍙告帹鍑虹殑涓€椤逛汉宸ユ櫤鑳芥湇鍔★紝瀹冪殑涓昏绔炰簤瀵规墜鏄嫻鏋滅殑Siri銆備緷闈燗lexa鐨勪簯骞冲彴锛屼簹椹€婂彲浠ヤ负鐢ㄦ埛鎻愪緵棰勬祴鏈嶅姟銆傝繖娆句汉宸ユ櫤鑳借儗鍚庣殑绠楁硶棰囧叿鐗硅壊锛屽畠鑳藉涓嶆柇灏嗚嚜宸辩殑鎿嶄綔娴佺▼绮剧畝澶勭悊锛屼絾杩欐AI鏈嶅姟鐨勫弽棣堝洖璺拰鍏跺鎴风AI绫讳技锛氬彂璧蜂竴椤规湇鍔★紝鍚稿紩鐩爣瀹㈡埛锛屾敹闆嗙敤鎴蜂俊鎭紝璁╄绠楁満瀛︿範杩欎簺鏁版嵁锛屽苟涓斿鐞嗙殑鏁版嵁瑙勬ā鏄汉鍔涙棤娉曚紒鍙婄殑銆?br/>

MrPorter鈥檚algorithms

娉㈢壒鍏堢敓鐨勭畻娉?br/>

ConsiderAmazon鈥檚fulfilmentcenters.Thesevastwarehouses,morethan100inNorthAmericaand60-oddaroundtheworld,arethebeatingheartofits$207bnonline-shoppingbusiness.TheystoreanddispatchthegoodsAmazonsells.InsideoneontheoutskirtsofSeattle,packageshuttlealongconveyorbeltsatthespeedofamoped.Thenoiseisdeafening鈥攁ndthefacilityseeminglybereftofhumans.Instead,insideafenced-offareathesizeofafootballfieldsitsthousandsofyellow,cuboidshelvingunits,eachsixfeet(1.8meters)tall.Amazoncallsthempods.Hundredsofrobotshuffletheseinandoutofneatrows,slidingbeneaththemanddraggingthemaround.Toothpaste,booksandsocksarestackedinamannerthatappearsrandomtoahumanobserver.Throughthelensofthealgorithmsguidingtheprocess,though,itallmakessupremesense.

鎴戜滑鍙互浜嗚В涓€涓嬩簹椹€婄殑鈥滄墽琛屼腑蹇冣€濄€傚畠浠叾瀹炴槸澶у瀷鐨勪粨搴擄紝鍦ㄥ寳缇庡湴鍖鸿秴杩?00搴э紝杩樻湁60澶氬骇鍒嗗竷鍦ㄤ笘鐣屽悇鍦般€傚彲浠ヨ杩欎簺浠撳簱灏辨槸杩欏鍏徃寮烘湁鍔涚殑蹇冭剰锛屽畠浠┍鍔ㄤ簡浜氶┈閫婁环鍊?070浜跨編閲戠殑鍦ㄧ嚎璐墿璐告槗銆傝繖浜涗粨搴撶敤浜庡瓨鍌ㄥ拰璋冮厤璐х墿锛屼簹椹€婂啀鎶婂畠浠崠缁欓【瀹€備綅浜庤タ闆呭浘甯傞儕鐨勪竴搴т粨搴撻噷锛屼紶閫佸甫浠ユ満杞︾殑閫熷害浼犻€佺潃鍖呰鐢ㄥ搧锛屼綘寰堥毦鍚埌涓€鐐瑰効鍣煶锛屽苟涓旇繖浜涜鏂藉熀鏈疄鐜颁簡鍏ㄨ嚜鍔ㄦ搷浣溿€傚湪鍥存爮鍥翠綇鐨勪竴涓尯鍩燂紝涓€鍧楀樊涓嶅瓒崇悆鍦哄ぇ灏忕殑鍦版柟瀛樻斁鐫€涓€浜涢粍鑹叉柟鍧楃姸璐ф灦锛屾瘡涓€涓揣鏋剁殑楂樺害绾︿负1.8绫筹紝浜氶┈閫婃妸瀹冧滑绉颁负鈥滃皬鍨嬭揣浠撯€濄€傝繖浜涒€滆揣浠撯€濅滑鏁撮綈鎺掑垪鎴愪竴鎺掞紝鏁扮櫨涓満鍣ㄤ汉绌挎鍏朵腑锛屾妸瀹冧滑绉诲嚭鏉ュ張绉昏繘鍘汇€傚湪浜虹被鐪嬫潵锛岃繖浜涜揣鍝侊紝姣斿鐗欒啅锛屼功绫嶅拰琚滃瓙琚殢鏈哄湴鏀剧疆鍦ㄨ揣鏋朵笂锛岀潃瀹炶浜洪毦浠ョ悊瑙c€備絾鏄湪绠楁硶鐨勫紩瀵间笅锛岃繖涓€杩囩▼鍙堟樉寰楁瀬鍏跺悎鐞嗐€?br/>

Humanworkers,or鈥渁ssociates鈥?incompanyvernacular,manstationsatgapsinthefencethatsurroundsthis鈥渞obotfield鈥?Somepickitemsoutofpodsbroughttothembyarobot;otherspackitemsintoemptypods,tobewhirredawayandstored.Whenevertheypickorplaceanitem,theyscantheproductandtherelevantshelfwithabar-codereader,sothatthesoftwarecankeeptrack.

浜虹被鍛樺伐锛屾垨浜氶┈閫婂叕鍙告墍绉扮殑鈥滀汉绫讳紮浼粹€濓紝涓昏涓烘満鍣ㄤ汉鎻愪緵杈呭姪鏈嶅姟锛屼粬浠殑宸ヤ綔鍦烘墍浣嶄簬鍥存爮闂寸殑绔欏彴澶勶紝鍥存爮鍐呴儴灏辨槸鎵€璋撶殑鈥滄満鍣ㄤ汉鍦板甫鈥濄€傛満鍣ㄤ汉涓嶅仠鍦版惉杩愬皬鍨嬭揣浠擄紝鏈夌殑鍛樺伐浠庝笂闈㈠彇涓嬭揣鐗╋紝鏈夌殑鍙堟妸璐х墿鏀惧洖绌虹殑璐т粨銆備絾鏃犺鍛樺伐鏄彇鍑鸿繕鏄斁鍥烇紝浠栦滑閮戒細浣跨敤鏉″舰鐮佷华瀵瑰晢鍝佷互鍙婂搴旂殑璐ф灦杩涜鎵弿锛岃繖鏍疯蒋浠剁郴缁熷氨鍙互璁板綍璇ュ晢鍝佺殑杩愯璺緞銆?br/>

ThemaninchargeofdevelopingthesealgorithmsisBradPorter,Amazon鈥檚chiefroboticist.HisteamisMrWilke鈥檚optimizationsquadforfulfilmentcenters.MrPorterpaysattentionto鈥減odgaps鈥?ortheamountoftimethatthehumanworkershavetowaitbeforearobotdragsapodtotheirstation.Fewerandshortergapsmeanlessdowntimeforthehumanworker,fasterflowofgoodsthroughthewarehouse,andultimatelyspeedierAmazondeliverytoyourdoorstep.MrPorter鈥檚teamisconstantlyexperimentingwithnewoptimizations,butrollsthemoutwithcaution.Trafficjamsintherobotfieldcanbehellish.

甯冩媺寰仿锋尝鐗癸紙BradPorter锛夋槸杩欎簺绠楁硶鑳屽悗鐨勪富瑕佸紑鍙戣€呭拰绠$悊鑰咃紝鍚屾椂涔熸槸浜氶┈閫婂叕鍙哥殑棣栧腑鏈哄櫒浜虹瀛﹀銆備粬缁勫缓鐨勫洟闃熸槸缁村皵鍏嬪厛鐢熼槦浼嶇殑浼樺寲鐗堟湰锛屼富瑕佹湇鍔″璞℃槸鎵ц涓績銆傛尝鐗瑰厛鐢熶富瑕佸叧娉ㄥ浣曠缉灏忓皬鍨嬭揣浠撻棿鐨勯棿闅欙紝浠ュ強濡備綍鍑忓皯浜虹被鍛樺伐鍦ㄤ粬浠珯鍙扮瓑寰呮満鍣ㄤ汉杩愰€佽揣鐗╃殑鏃堕棿銆傚浜虹被鍛樺伐鑰岃█锛屾洿灏戜互鍙婃洿灏忕殑闂撮殭鎰忓懗鐫€鏇寸煭鐨勮鍗告椂闂达紝鏇村姞杩呴€熺殑璐х墿杩愯緭娴佺▼锛屼互鍙婃洿鍔犲揩鎹风殑閰嶉€佹湇鍔°€備竴鐩翠互鏉ワ紝娉㈢壒鍏堢敓鐨勫洟闃熼兘鍦ㄥ鏂板瀷浼樺寲绛栫暐杩涜璇曢獙锛屼絾姣忎竴娆$殑鎺ㄥ箍閮藉崄鍒嗗皬蹇冭皑鎱庯紝鍥犱负鈥滄満鍣ㄤ汉鍦板甫鈥濈殑浜ら€氬牭濉炴槸涓€涓潪甯镐弗閲嶅拰鍙€曠殑闂銆?br/>

AmazonWebServices(aws)istheotherpieceofcoreinfrastructure.ItunderpinsAmazon鈥檚$26bncloud-computingbusiness,whichallowscompaniestohostweb-sitesandappswithoutserversoftheirown.

浜氶┈閫婄綉缁滄湇鍔★紙AWS锛夋槸鍏舵牳蹇冨熀纭€璁炬柦鐨勫彟涓€涓粍鎴愰儴浠躲€傚畠鐨勫瓨鍦ㄧ淮鎸佷簡浜氶┈閫婁环鍊?600浜跨編鍏冪殑浜戣绠椾笟鍔°€傚埄鐢ㄨ繖涓€缃戠粶绯荤粺锛屽叕鍙镐滑鍙互鍦ㄦ病鏈夋湇鍔″櫒鐨勫熀纭€涓婂紑璁捐嚜宸辩殑缃戠珯鎴栧紑鍙戣嚜宸辩殑搴旂敤绋嬪簭銆?br/>

aws鈥檚chiefuseofmachinelearningistoforecastdemandforcomputation.Insufficientcomputingpowerasinternetusersflocktoacustomer鈥檚servicecanengendererrorandlostsalesasusersencountererrorpages.鈥淲ecan鈥檛saywe鈥檙eoutofstock,鈥?saysAndyJassy,aws鈥檚boss.Toensuretheyneverhaveto,MrJassy鈥檚teamcrunchescustomerdata.Amazoncannotseewhatishostedonitsservers,butitcanmonitorhowmuchtrafficeachofitscustomersgets,howlongtheconnectionslastandhowsolidtheyare.Asinitsfulfilmentcentres,thesemetadatafeedmachine-learningmodelswhichpredictwhenandwhereawsisgoingtoseedemand.

AWS鍦ㄦ満鍣ㄥ涔犳柟闈㈢殑涓昏鐢ㄩ€旀槸棰勬祴璁$畻闇€姹傘€傚綋浜掕仈缃戠敤鎴锋秾鍏ュ鎴风鏃讹紝璁$畻鑳藉姏缂轰箯灏变細浜х敓寰堝閿欒锛屾瘮濡傜敤鎴疯繘鍏ラ敊璇〉闈紝浜ゆ槗鍙ソ琚揩鍙栨秷銆傗€滄垜浠笉鑳借鎴戜滑娌℃湁瀛樿揣銆傗€濆畨杩锋澃瑗匡紙AndyJassy锛夋槸AWS鐨勮€佹澘锛屼粬琛ㄧず锛屼负浜嗕繚璇佽繖涓€缃戠粶绯荤粺姘歌繙涓嶅嚭閿欒锛屼粬鐨勫洟闃熸敹闆嗗苟鍒嗘瀽浜嗗ぇ閲忛【瀹㈢殑鏁版嵁銆傝櫧鐒朵簹椹€婃柟闈㈡棤娉曞緱鐭ユ湇鍔″櫒涓婄殑鍐呭锛屼絾瀹冨彲浠ユ娴嬪埌椤惧鑾峰彇浜嗗灏戞祦閲忥紝浠栦滑涓庢湇鍔″櫒闂寸殑杩炴帴鎸佺画浜嗗闀挎椂闂达紝浠ュ強杩欎竴杩炴帴鐨勮川閲忓浣曘€傚湪浜氶┈閫婂叕鍙哥殑鎵ц涓績锛屾満鍣ㄥ涔犳ā鍨嬩緷闈犺繖浜涘厓鏁版嵁鐨勮緭鍏ョ户鑰岃繍杞捣鏉ワ紝杩欎簺妯″瀷鐨勫姛鑳戒富瑕佹槸棰勬祴AWS绯荤粺鍦ㄤ綍鏃朵綍鍦版湁鍙兘浜х敓璁$畻闇€姹傘€?br/>

Oneofaws鈥檚biggestcustomersisAmazonitself.AndoneofthemainthingsotherAmazonbusinesseswantispredictions.Demandissohighthatawshasdesignedanewchip,calledInferentia,tohandlethesetasks.MrJassysaysthatInferentiawillsave

Amazonmoneyonallthemachine-learningtasksitneedstoruninordertokeepthelightson,aswellasattractingcustomerstoitscloudservices.鈥淲ebelieveitcanbeatleastanorder-of-magnitudeimprovementincostandefficiency,鈥?hesays.ThealgorithmswhichrecognizevoicesandunderstandhumanlanguageinAlexawillbeonebigbeneficiary.

AWS鏈€澶х殑瀹㈡埛涔嬩竴灏辨槸浜氶┈閫婅嚜宸便€傚悓鏃讹紝浜氶┈閫婂叾浠栦笟鍔″浜嶢WS鐨勯渶姹備篃闆嗕腑鍦ㄥ畠鐨勯娴嬭兘鍔涜繖涓€鍧椼€傜敱浜庤绠楅噺宸ㄥぇ锛岀爺绌惰€呬负AWS璁捐浜嗕竴娆炬柊鐨勮姱鐗囨潵澶勭悊杩欎簺浠诲姟锛屽畠琚О涓篒nferentia銆傛澃瑗垮厛鐢熻〃绀猴紝杩欐鑺墖灏嗕负浜氶┈閫婂湪鏈哄櫒瀛︿範鐨勫悇绫讳换鍔′笂鑺傜渷涓嶅皯閽憋紝鍚屾椂鍙堣兘鍚稿紩鏇村鐨勫鎴烽€夋嫨鍏朵簯鏈嶅姟銆傛澃瑗垮厛鐢熻繕琛ㄧず鈥淚nferentia灏嗙粰鍏徃鐨勬垚鏈晥鐜囧甫鏉ユ暟閲忕骇鐨勬彁鍗囥€傗€濊兘澶熻鲸璇嗗0闊筹紝鐞嗚В浜虹被璇█鐨凙lexa灏嗕负鍏舵湰韬殑绠楁硶鍙戝睍甯︽潵鏃犵┓鐨勫ソ澶勩€?br/>

Thefirm鈥檚latestalgorithmicventureisAmazonGo,acashierlessgrocery.Abankofhundredsofcameraswatchesshoppersfromabove,convertingvisualdataintoa3dprofilewhichisusedtotrackhandsandarmsastheyhandleaproduct.ThesystemseeswhichitemsshopperspickupandbillsthemtotheirAmazonaccountwhentheyleavethestore.DilipKumar,AmazonGo鈥檚boss,stressesthatthesystemistrackingthemovementsofshoppers鈥?bodies.ItisnotusingfacialrecognitiontoidentifythemandtolinkthemwiththeirAmazonaccount,hesays.Instead,thisisdonebyswipingabarcodeatthedoor.Thesystemascribesthesubsequentactionsofthat3dprofiletotheswipedAmazonaccount.Itisanodetomachinelearning,crunchingdatafromhundredsofcamerastodeterminewhatashoppertakes.Tryashemight,yourcorrespondentcouldnotfoolthesystemandpilferanitem.

鍦ㄧ畻娉曟帰绱㈡柟闈紝杩欏鍏徃鏈€鏂版垚鏋滄槸浜氶┈閫奊o锛屽畠鏄竴瀹朵笉璁剧疆鏀堕摱鍛樼殑鏉傝揣搴椼€傚簵鍐呮暟鐧惧彴鎽勫儚澶存棤鏃舵棤鍒诲湴浠庝笂鏂圭洃鎺х潃椤惧琛屼负锛屽苟灏嗛噰闆嗗埌鐨勮瑙夋暟鎹浆鎹㈡垚涓夌淮鐢ㄦ埛淇℃伅锛岃繖浜涙暟鎹殑鐢ㄩ€旀槸璺熻釜椤惧鍦ㄦ嬁鍙栬揣鍝佹椂鐨勬墜鑷傚姩浣溿€傚姝や竴鏉ワ紝杩欎竴绠楁硶绯荤粺灏卞彲浠ョ煡閬撻【瀹㈡嬁浜嗗摢浜涘晢鍝侊紝骞跺湪椤惧绂诲簵鏃讹紝鎶婅繖浜涘晢鍝佺殑璐﹀崟鑷姩鍙戦€佸埌椤惧鐨勪簹椹€婅处鍙蜂腑銆傝开閲屾櫘路搴撶帥锛圖ilipKumar锛夋槸璐熻矗浜氶┈閫奊o椤圭洰鐨勮€佹澘锛屼粬寮鸿皟杩欎釜绯荤粺鐨勭洰鐨勬槸杩借釜椤惧鐨勮韩浣撳姩浣滐紝骞舵病鏈変娇鐢ㄩ潰閮ㄨ瘑鍒潵杈ㄨ瘑椤惧淇℃伅浠ヨ繛鎺ュ叾浜氶┈閫婅处鎴枫€傝繖涓郴缁熷氨鏄満鍣ㄥ涔犵殑鈥滈姝屸€濓紝瀹冧粠鏁扮櫨鍙版憚鍍忓ご閭i噷閲囬泦淇℃伅锛屼粠鑰屾柇瀹氶【瀹㈢┒绔熸嬁浜嗕粈涔堛€備篃璁镐綘鎵撶畻鍋锋嬁涓€浠跺晢鍝侊紝浣嗚繖浜涙憚鍍忓ご绯荤粺鍙笉浼氳杞绘槗楠楀埌銆?br/>

Fitforpurpose

閲忎綋瑁佽。

aibody-trackingisalsopoppingupinsidefulfilmentcentres.Thefirmhasapilotproject,internallycalledthe鈥淣ikeIntentDetection鈥?system,whichdoesforfulfilment-centreassociateswhatAmazonGodoesforshoppers:ittrackswhattheypickandplaceonshelves.Theideaistogetridofthehand-heldbar-codereader.Suchmanualscanningtakestimeandisabotherforworkers.Ideallytheycouldplaceitemsonanyshelftheylike,whilethesystemwatchesandkeepstrack.Asever,thegoalisefficiency,maximizingtherateatwhichproductsflow.鈥淚tfeelsverynaturaltotheassociates,鈥?saysMrPorter.

浜哄伐鏅鸿兘鍔ㄤ綔杩借釜鍦ㄦ墽琛屼腑蹇冨唴閮ㄤ篃鏈夌敤姝︿箣鍦般€備簹椹€婂叕鍙告帹鍑轰簡涓€椤硅瘯楠岃鍒掞紝鍦ㄥ叕鍙稿唴閮紝瀹冭绉颁负鈥滆€愬厠鎰忓浘鎺㈡祴鈥滅郴缁燂紝瀹冨湪鎵ц涓績鐨勮繍杞師鐞嗗拰浜氶┈閫奊o涓€鏍凤細杩借釜璐х墿鍦ㄨ揣鏋朵笂鍙栧嚭鍜屾斁鍥炵殑杞ㄨ抗銆傝繖涓€鎯虫硶涓昏鏄负浜嗘窐姹颁互鍓嶇殑鎵嬫彙鏉″舰鐮佹壂鎻忎华锛屽洜涓鸿繖鏍风殑褰曞叆宸ヤ綔寰堟氮璐瑰憳宸ョ殑鏃堕棿锛屾搷浣滆捣鏉ヤ篃鍗佸垎楹荤儲銆傜悊鎯虫儏鍐垫槸锛屽湪绯荤粺鐨勭洃鎺у拰杩借釜涓嬶紝鍛樺伐鍙互鎶婅揣鐗╂斁鍦ㄤ换浣曡揣鏋朵笂銆備簹椹€婄殑鐩爣鎬绘槸鎻愰珮鏁堢巼锛屾渶澶у寲浜у搧鐨勬祦閫氶€熺巼锛岀敤娉㈢壒鍏堢敓鐨勮瘽璇达紝鈥滄垜浠墍鏈変汉绫诲憳宸ラ兘瑙夊緱杩欎竴杩囩▼鍗佸垎鑷劧銆傗€?br/>

Amazon鈥檚carefulapproachtodatacollectionhasinsulateditfromsomeofthescrutinythatFacebookandGooglehaverecentlyfacedfromgovernments.Amazoncollectsandprocessescustomerdataforthesolepurposeofimprovingtheexperienceofitscustomers.Itdoesnotoperateinthegreyareabetweensatisfyingusersandcustomers.Thetwoareoftendistinct:peoplegetsocialmediaorsearchfreeofchargebecauseadvertiserspayFacebookandGoogleforaccesstousers.ForAmazon,theyaremostlyoneandthesame(thoughitistoyingwithadsales).WhereregulatorsdoraiseconcernsisoverAmazon鈥檚dominanceinitscorebusinessofonlineshoppingandcloudcomputing.Thispowerhasbeenbuiltonmachinelearning.Itshowsnosignsofwaning.

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