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qunini备用网址初二女生深夜被男老师搂上床疑遭猥亵老师否认 罡风……”杨开啧啧有声-盐城教育网

qunini备用网址:“天雷,初二女生深地火,罡风……”杨开啧啧有声,“钱老你这日子过的好辛酸啊!



“蠢货师姐,夜被男老师丑女人!

”尹素蝶在背后咒骂着,张牙舞爪。

千幻琉璃山,搂上床疑遭整体是由千幻琉璃组成的一座小山,奇重无比,看起来朴实无华,但实际上,千幻琉璃这种东西,却能天生琉璃神光。

琉璃神光具有克制五行,猥亵老师否束身拘魂的神奇功效。

凌霄宗的那一艘虚王级战舰在炼制的时候,初二女生深就加入了大量的千幻琉璃,初二女生深不但大大地提升了战舰的防御,还可以通过战舰内阵法的控制,在星域中航行的时候,可以让战舰伪装成一块陨石,起到迷惑视线的作用。

这种手段,夜被男老师也只有阳炎能够弄出来了,整个星域,任何一个炼器师,都不可能将那么多千幻琉璃炼化进战舰之中。

千幻琉璃山前,搂上床疑遭众目睽睽之下,杨开只是放出了石傀,让它自行开采去了。

石傀的天赋神通,猥亵老师否就是吞噬各种珍稀矿物,提炼矿物精华,千幻琉璃既然归属矿物一类,就免不了要被石傀克制。

连血狱里那座域石山都被石傀给挖空了,初二女生深千幻琉璃山又如何能抵挡石傀的魔爪!

在宫傲芙等人惊愕的注视下,夜被男老师石傀迅速地来到千幻琉璃山前方,然后张开大嘴,趴在山体下方,大口大口地啃食起来。

能讨的冥月欢心,搂上床疑遭一瓶上好的浑天丹绝对是跑不掉的。

所以他在听到沙扈的吼声之后,猥亵老师否立刻便朝这边赶了过来。

人在半途中,初二女生深一柄厚重的刀型秘宝便已被祭出,初二女生深握在手心处,倒也气势十足,配合上那魁梧的身子,的确有一种人挡杀人,佛挡杀佛,一往无前的威猛。

沙扈只是静静地站在原地,夜被男老师目光眺望着岛屿中心处,那最高的一栋建筑。


ST华菱终止重大资产重组议案获高票通过 复牌不到一个月股价涨近六成

资产重组黄,瓦林的涨价了。

ST华菱废除有重大意义的资产重组提议获高开票表决保密的价格比任何人月涨了60%

钢铁资产表演大幅升起的所有物,圣瓦伦的净赚在上半载是相当感人的的。

(档案图片)

华生在线8月2日股东大会开票结实揭晓,使和谐一致约万股,在聚会上分享均摊。

2017年度*ST首次暂时股东大会,《在起作用的公司废除有重大意义的资产重组事项的账单》增加高票经过。

推理原重组整理,圣瓦林将剥离钢铁资产,并入伙保密的、盼望、管保及剩余部分资金精神节约发电资产。

重组废除,双拘留五市

与百货商店相干性相反,重组保密的的体现是,ST华菱于7月10日延续5个市日回复市。

不到任何人月,保密的价格在停牌前从人民币/保密的高涨。

方法8月2日收市,圣华陵元/股,累计增长高,市值也从116亿元增至184亿元。

乖巧的的百货商店体现不只给某物加玻璃了金融家对TH的认可。

中小金融家的使产生兴趣也得到了无效的尽心竭力地做。

确定废除次要驴重组的记述,该公司在后期公报中表现,这次要是鉴于企图变成无形资产的资金资产的遗失。

持续引起原重组使突出可能性不足股票上市的公司和金融家使产生兴趣;拟置出股票上市的公司的钢铁资个人财产绩已大幅提出,素养改善、功能提出已存在主动语态遭遇,拟议的资产将保留在股票上市的公司。

冲向使用资本百货商店引起构象转移晋级,更契合策略性恢复的策略性定向。

同时,圣瓦林颁布颁发了2017上半载的结实,公司估计净赚11亿元至10亿30元,引起归属于股票上市的公司股东的净赚9亿元至10亿元。

变成很多的如行星或恒星的隐形冠军

公司企图废除重组。

多家券商和炼钢业剖析师停止了鉴定书。

颁发做研究公告,依靠机械力移动和强烈推荐评级公司,几种公募基金和私募股权基金及管保事情,自公司保密的复原以后,肥沃的的机构金融家依靠机械力移动了公司的保密的。

总经理闫建信说,在炼钢业的严冬中,公司持续促进结构调准、素养与功能的提出与三制的改造,公司商品研究与生长容量、技术设备程度和劳动分娩率打头,在精神、油气、造船、海工、汽车、军事工业、机械、体系结构等多个商品板块已变成隐形冠军,公司的竟争能力正逐渐提出。

公司董事长曹慧泉说,重组后,公司将持续容纳战术力,坚决地宣告做强做强、区域铅框的指导理念,炼钢业深耕,放慢精益分娩的再现、做研究、分娩和做研究使一致的三个战术支援系统,持续促进结构调准、素养改善和效益提出,提出客人核心竟争能力。

■地名词典黄文成

连线

半载净赚增长50%由于

澳优保密的价格已走到近7年来的新高。

8月2日,澳优乳业2017上半载增加预测公报,经初步测算,估计本年上半载(短暂拜访2017年6月30日),公司使接受量同比增长36%摆布,至约人民币17亿元;引起归属于公司股东净赚中间性人民币亿元—亿元私下,与去年同一时期比拟,人民币私下的曲线增加斜率中间性两者都私下。

保密的价格已走到近7年来的新高。

当天,受到由于好消息的起刺激作用,该公司股价高涨6%由于。

下一步走高路,最重要的增加到。

纵然在一定程度上有所衰退,但方法合上,依然容纳,收于元每股。

再者,该公司股价自2010以后也创下历史新高。

澳优乳业在公报中表现,业绩的明显增长次要是鉴于三个掷还:率先,公司直率打烙印于全脂奶粉的战术调准与训练,公司组织再现和使接受系统日臻完善,公司引起不含糊的的打烙印于安置,无效容量全球百货商店的变化多的销路,引入经纪战术更多推进进化。

恩惠于由于错杂,本年估计本年1—六月。

澳优自有打烙印于奶妈养育的婴幼儿照方配药全脂奶粉及全脂奶粉使接受收入,人民币12亿元,功能走到计议导致。

力滋养品服务器

“2017年是澳优乳业引起‘黄金十年’开展战术的以第二位年,公司契合凝结整理。

持续放慢商品生长和上流供给链再现,在奇纳的使接受摆脱和新的全球使接受区域训练训练,并存在计议效果。

澳优乳业董事长闫伟宾说,公司持续追求事情的开展和溃,客人结构调准战术开端见效,跟随滋养品新事情的逐渐扩展,将变成澳优乳业新的有益增长点。

值当留意的是,不久前,信达国际、澳优乳业做研究公告,公告同时索引。

作为初学者照方配药全脂奶粉龙头客人,个人财产一体化与全球化训练的效益,澳优奶业2017上半载喜忧参半,打烙印于认知度正增加,抚养价格看涨而买入评级,这两个机构的目的价是港币和香港元私下。


The Value Of Digital Transformation In The Chemicals Industry – Business Intelligence Info

In2013,severalUKsupermarketchainsdiscoveredthatproductstheyweresellingasbeefwereactuallymadeatleastpartly—andinsomecases,entirely—fromhorsemeat。

Theresultinguproarledtoaseriesofproductrecalls,promptedstricterfoodtesting,andspurredtheEuropeanfoodindustrytotakeacloserlookathowunlabeledormislabeledingredientswerefindingtheirwayintothefoodchain。

By2020,ascandallikethiswillbeeminentlypreventable。

TheseparationbetweenbovineandequinewillbecomeimmutablewithInternetofThings(IoT)sensors,whichwilltracktheprovenanceandidentityofeveryanimalfromstalltostore,addingthedatatoablockchainthatanyonecancheckbutnoonecanalter。

Foodprocessingcompanieswillbeabletousethatblockchaintoconfirmandlabelthecontentsoftheirproductsaccordingly—downtothespecificfarmsandanimalsrepresentedineveryindividualpackage。

Thatlevelofdetailmaybetoomuchinformationforshoppers,buttheywillatleastbeabletotrustthattheirmeatballscomefromtheappropriatespecies。

TheSpineofDigitalization

Keepingfoodsaferandmoretraceableisjustthebeginning,however。

Improvementsinthesupplychain,whichhavebeenincrementalfordecadesdespitebillionsofdollarsoftechnologyinvestments,areabouttogoexponential。

Emergingtechnologiesareconvergingtotransformthesupplychainfromtacticaltostrategic,fromaneasilyreplicablecommoditytoanewsourceofcompetitivedifferentiation。

Youmayalreadybethinkingabouthowtotakeadvantageofblockchaintechnology,whichmakesdataandtransactionsimmutable,transparent,andverifiable(see“WhatIsBlockchainandHowDoesItWork?

”)。

Thatwillbeapowerfultooltoboostsupplychainspeedandefficiency—alwaysaworthygoal,buthardlyadisruptiveone。

However,ifyouthinkofblockchainasthespineofdigitalizationandtechnologiessuchasAI,theIoT,3Dprinting,autonomousvehicles,anddronesasthelimbs,youhaveapowerfulsupplychainbodythatcanleapfrogaheadofitscompetition。

WhatIsBlockchainandHowDoesItWork?

Here’swhyblockchaintechnologyiscriticaltotransformingthesupplychain。

Blockchainisessentiallyasequential,distributedledgeroftransactionsthatisconstantlyupdatedonaglobalnetworkofcomputers。

Theownershipandhistoryofatransactionisembeddedintheblockchainatthetransaction’searlieststagesandverifiedateverysubsequentstage。

Ablockchainnetworkusesvastamountsofcomputingpowertoencrypttheledgerasit’sbeingwritten。

Thismakesitpossibleforeverycomputerinthenetworktoverifythetransactionssafelyandtransparently。

Themoreorganizationsthatparticipateintheledger,themorecomplexandsecuretheencryptionbecomes,makingitincreasinglytamperproof。

Whydoesblockchainmatterforthesupplychain?

Itenablesthesafeexchangeofvaluewithoutacentralverifyingpartner,whichmakestransactionsfasterandlessexpensive。

Itdramaticallysimplifiesrecordkeepingbyestablishingasingle,authoritativeviewofthetruthacrossallparties。

Itbuildsasecure,immutablehistoryandchainofcustodyasdifferentpartieshandletheitemsbeingshipped,anditupdatestherelevantdocumentation。

Bydoingthesethings,blockchainallowscompaniestocreatesmartcontractsbasedonprogrammablebusinesslogic,whichcanexecutethemselvesautonomouslyandtherebysavetimeandmoneybyreducingfrictionandintermediaries。

HintsoftheFuture

Inthemid-1990s,whentheWorldWideWebwasinitsinfancy,wehadnoideathattheinternetwouldbecomesolargeandpervasive,northatwe’dfindawaytocarryitallinourpocketsonsmallslabsofglass。

Butwecouldtellthatithadvastpotential。

Today,withthecombinationofemergingtechnologiesthatpromisetoturbochargedigitaltransformation,we’rejustbeginningtoseehowwemightturnthesupplychainintoasourceofcompetitiveadvantage(see“What’stheMagicCombination?

”)。

What’stheMagicCombination?

Thosewhofocusonblockchaininisolationwillmissoutonamuchbiggersupplychainopportunity。

Manyexpertsbelieveemergingtechnologieswillworkwithblockchaintodigitalizethesupplychainandcreatenewbusinessmodels:

Blockchainwillprovidethefoundationofautomatedtrustforallpartiesinthesupplychain。

TheIoTwilllinkobjects—fromtinydevicestolargemachines—andgeneratedataaboutstatus,locations,andtransactionsthatwillberecordedontheblockchain。

3Dprintingwillextendthesupplychaintothecustomer’sdoorstepwithhyperlocalmanufacturingofpartsandproductswithIoTsensorsbuiltintotheitemsand/ortheirpackaging。

Everymanufacturedobjectwillbesmart,connected,andabletocommunicatesothatitcanbetrackedandtracedasneeded。

BigDatamanagementtoolswillprocessalltheinformationstreaminginaroundtheclockfromIoTsensors。

AIandmachinelearningwillanalyzethisenormousamountofdatatorevealpatternsandenabletruepredictabilityineveryareaofthesupplychain。

Combiningthesetechnologieswithpowerfulanalyticstoolstopredicttrendswillmakelackofvisibilityintothesupplychainathingofthepast。

Organizationswillbeabletoexamineasinglemachineacrossitsentirelifecycleandidentifyareaswheretheycanimproveperformanceandincreasereturnoninvestment。

They’llbeabletofollowandmonitoreverycomponentofaproduct,fromdesignthroughdeliveryandservice。

They’llbeabletotriggerandtrackautomatedactionsbetweenandamongpartnersandcustomerstoprovidecustomizedtransactionsinrealtimebasedonrealdata。

Afterdecadesoftalkaboutmarketsofone,companieswillfinallyhavethepowertocreatethem—atscaleandprofitably。

Amazon,forexample,isbecomingasmuchalogisticscompanyasaretailer。

Itsorderinganddeliverysystemsaresostreamlinedthatitscustomerscanlaunchandcompleteasame-daytransactionwithapushofasingleIP-enabledbuttonorawordtoitsever-attentiveAIdevice,Alexa。

Andthislevelofexperimentationandinnovationisbubblingupacrossindustries。

Considermanufacturing,wheretheIoTistransformingautomationinsidealreadyhighlyautomatedfactories。

Machine-to-machinecommunicationisenablingrobotstosetup,provision,andunloadequipmentquicklyandaccuratelywithminimalhumanintervention。

Meanwhile,sensorsacrossthefactoryfloorarealreadycapableofgatheringsuchinformationashowofteneachmachineneedsmaintenanceorhowmuchrawmaterialtoordergivencurrentproductiontrends。

Oncetheyharvestenoughdata,businesseswillbeabletofeeditthroughmachinelearningalgorithmstoidentifytrendsthatforecastfutureoutcomes。

Atthatpoint,thesupplychainwillstarttobecomebothautomatedandpredictive。

We’llbegintoseebusinessmodelsthatincludeproactivelyschedulingmaintenance,replacingpartsjustbeforethey’relikelytobreak,andautomaticallyorderingmaterialsandinitiatingcustomershipments。

ItaliantrainoperatorTrenitalia,forexample,hasputIoTsensorsonitslocomotivesandpassengercarsandisusinganalyticsandin-memorycomputingtogaugethehealthofitstrainsinrealtime,accordingtoanarticleinComputerWeekly。

“Itisnowpossibletoaffordablycollecthugeamountsofdatafromhundredsofsensorsinasingletrain,analysethatdatainrealtimeanddetectproblemsbeforetheyactuallyhappen,”Trenitalia’sCIODaniloGismonditoldComputerWeekly。

Theproject,whichisscheduledtobecompletedin2018,willchangeTrenitalia’sbusinessmodel,allowingittoschedulemoretripsandmakeeachonemoreprofitable。

Therailwaycompanywillbeabletobetterplanpartsinventoriesanddeterminewhichlinesareconsistentlyperformingpoorlyandneedupgrades。

Thenewsystemwillsave€100millionayear,accordingtoARCAdvisoryGroup。

Newbusinessmodelscontinuetoevolveas3Dprintersbecomemoresophisticatedandaffordable,makingitpossibletomovetheendofthesupplychainclosertothecustomer。

Companiescandesignpartsandproductsinmaterialsrangingfromcarbonfibertochocolateandthenprintthoseitemsintheirwarehouse,ataconvenientlylocatedthird-partyvendor,orevenontheclient’spremises。

Inadditiontominimizingtheirshippingexpensesandreducingfulfillmenttime,companieswillbeabletooffermorepersonalizedorcustomizeditemsaffordablyinsmallquantities。

Forexample,clothingretailerMinistryofSupplyrecentlyinstalleda3DprinteratitsBostonstorethatenablesittomakeanarticleofclothingtoacustomer’sspecificationsinunder90minutes,accordingtoanarticleinForbes。

Thiskindofhighlydistributedmanufacturinghaspotentialacrossmanyindustries。

Itcouldevencreateamarketforsecuremanufacturingforhighlyregulatedsectors,allowingamanufacturertotransmitencryptedtemplatestoprintersintightlyprotectedlocations,forexample。

Meanwhile,organizationsareinvestigatingwaysofusingblockchaintechnologytoauthenticate,trackandtrace,automate,andotherwisemanagetransactionsandinteractions,bothinternallyandwithintheirvendorandcustomernetworks。

Theabilitytocollectdata,recorditontheblockchainforimmediateverification,andmakethattrustworthydataavailableforanyapplicationdeliversindisputablevalueinanybusinesscontext。

Thesupplychainwillbenoexception。

BlockchainIstheChangeDriver

Thesupplychainisconfiguredasweknowittodaybecauseit’simpossibletocreateacontractthataccountsforeverypossiblecontingency。

Considercross-borderfinancialtransfers,whicharesocomplexandmustmeetsomanyregulationsthattheyrequireatremendousnumberofintermediariestoplugthegaps:lawyers,accountants,customerservicereps,warehouseoperators,bankers,andmore。

Byreducingthatcomplexity,blockchaintechnologymakesintermediarieslessnecessary—atransformationthatisrevolutionaryevenwhenmeasuredonlyincostsavings。

“Ifyou’reselling100itemsaminute,24hoursaday,reducingthecostofthesupplychainbyjust$1peritemsavesyoumorethan$52。

5millionayear,”notesDirkLonser,SAPgo-to-marketleaderatDXCTechnology,anITservicescompany。

“Byreplacingmanualprocessesandmultiplepeer-to-peerconnectionsthroughfaxore-mailwithasinglemediumwhereeveryonecanexchangeverifiedinformationinstantaneously,blockchainwillboostprofitmarginsexponentiallywithoutraisingpricesorevenincreasingindividualproductivity。



Butthepotentialforblockchainextendsfarbeyondcostcuttingandstreamlining,saysIrfanKhan,CEOofsupplychainmanagementconsultingandsystemsintegrationfirmBristlecone,aMahindraGroupcompany。

Itwillgivecompanieswaystodifferentiate。

“Blockchainwillletenterprisesmoreaccuratelytracefaultypartsorproductsfromendusersbacktofactoriesforrecalls,”Khansays。

“Itwillstreamlinesupplieronboarding,contracting,andmanagementbycreatinganintegratedplatformthatthecompany’sentirenetworkcanaccessinrealtime。

Itwillgivevendorssecure,transparentvisibilityintoinventory24×7。

Andatatimewhencounterfeitingisarealconcerninmultipleindustries,itwillmakeiteasyforbothretailersandcustomerstocheckproductauthenticity。



Blockchainallowsallthecriticalstepsofthesupplychaintogoelectronicandbecomeirrefutablyverifiablebyallthecriticalpartieswithinminutes:thesellerandbuyer,banks,logisticscarriers,andimportandexportofficials。

Althoughthekeypartsoftheprocessremainthesameasintoday’sanalogsupplychain,performingthemelectronicallywithblockchaintechnologyshortenseachstagefromhoursordaystosecondswhileeliminatingreamsofwastefulpaperwork。

Withgoodsmovingthatquickly,companieshaveampleroomfordesigningnewbusinessmodelsaroundmanufacturing,service,anddelivery。

ChallengesonthePathtoAdoption

Forallthistowork,however,thedataontheblockchainmustbecorrectfromthebeginning。

Thepills,produce,orpartsonthedeliverytruckneedtobethesameastheitemslistedonthemanifestattheloadingdock。

Everyusecaseassumesthatthedataisaccurate—andthatwillonlyhappenwheneverythingthat’smanufacturedissmart,connected,andabletoself-verifyautomaticallywiththehelpofmachinelearningtunedtodetecterrorsandpotentialfraud。

Companiesarealreadyseeingthepossibilitiesofapplyingthisbundleofemergingtechnologiestothesupplychain。

IDCprojectsthatby2021,atleast25%ofForbesGlobal2000(G2000)companieswilluseblockchainservicesasafoundationfordigitaltrustatscale;30%oftopglobalmanufacturersandretailerswilldosoby2020。

IDCalsopredictsthatby2020,upto10%ofpilotandproductionblockchain-distributedledgerswillincorporatedatafromIoTsensors。

DespiteIDC’soptimism,though,thebiggestbarriertoadoptionistheearlystagelevelofenterpriseusecases,particularlyaroundblockchain。

Currently,thesolesignificantenterpriseblockchainproductionsystemisthevirtualcurrencyBitcoin,whichhasunfortunatelybeentaintedbyitsassociationswithspeculation,dubiousfinancialtransactions,andtheso-calleddarkweb。

Thetechnologyisstillinasufficientlyearlystagethatthere’ssignificantuncertaintyaboutitsabilitytohandlethemassiveamountsofdataaglobalenterprisesupplychaingeneratesdaily。

Nevermindthatit’scompletelyunregulated,withnoglobalstandard。

There’salsoacriticalglobalshortageofexpertswhocanexplainemergingtechnologieslikeblockchain,theIoT,andmachinelearningtonontechnologyindustriesandeducateorganizationsinhowthetechnologiescanimprovetheirsupplychainprocesses。

Finally,thereisconcernabouthowblockchain’scomplexalgorithmsgobblecomputingpower—andelectricity(see“BlockchainBlackouts”)。

BlockchainBlackouts

Blockchainisapowerglutton。

Cantechnologymediatetheissue?

Amajorconcerntodayistheenormouscarbonfootprintofthenetworkscreatingandsolvingthealgorithmicproblemsthatkeepblockchainssecure。

Althoughvirtualcurrencyenthusiastsclaimtheproblemisoverstated,MichaelReed,headofblockchaintechnologyforIntel,hasbeenwidelyquotedassayingthattheenergydemandsofblockchainsareasignificantdrainontheworld’selectricityresources。

Indeed,WiredmagazinehasestimatedthatbyJuly2019,theBitcoinnetworkalonewillrequiremoreenergythantheentireUnitedStatescurrentlyusesandthatbyFebruary2020itwilluseasmuchelectricityastheentireworlddoestoday。

Still,computingpowerisbecomingmoreenergyefficientbythedayandstickingwithpaperworkwillbecometooslow,soexperts—Intel’sReedamongthem—considerthisasolvableproblem。

“Wedon’tknowyetwhatthemarketwilladopt。

Inadecade,itmightbestatusquoorbestpractice,oritcouldbethenextBetamax,agreattechnologyforwhichtherewasnodemand,”Lonsersays。

“Evenhighlyregulatedindustriesthatneedgreatertransparencyintheentiresupplychainaremovingfairlyslowly。



Blockchainwillrequireacceptancebyacriticalmassofcompanies,governments,andotherorganizationsbeforeitdisplacespaperdocumentation。

It’sachicken-and-eggissue:multiplecompaniesneedtoadoptthesetechnologiesatthesametimesotheycanbuildablockchaintoexchangeinformation,yetgettingmultiplecompaniestodoanythingsimultaneouslyisachallenge。

Someearlyinitiativesarealreadyunderway,though:

ALondon-basedstartupcalledEverledgerisusingblockchainandIoTtechnologytotracktheprovenance,ownership,andlifecyclesofvaluableassets。

Thecompanybeganbytrackingdiamondsfromminetojewelryusingroughly200differentcharacteristics,withagoalofstoppingboththedemandforandthesupplyof“conflictdiamonds”—diamondsminedinwarzonesandsoldtofinanceinsurgencies。

Ithassinceexpandedtocoverwine,artwork,andotherhigh-valueitemstopreventfraudandverifyauthenticity。

InSeptember2017,SAPannouncedthecreationofitsSAPLeonardoBlockchainCo-Innovationprogram,agroupof27enterprisecustomersinterestedinco-innovatingaroundblockchainandcreatingbusinessbuy-in。

ThediversegroupofparticipantsincludesmanagementandtechnologyservicescompaniesCapgeminiandDeloitte,cosmeticscompanyNaturaCosméticosS。

A。

andMoogInc。

amanufacturerofprecisionmotioncontrolsystems。

TwoofEurope’slargestshippingports—RotterdamandAntwerp—areworkingonblockchainprojectstostreamlineinteractionwithportcustomers。

TheAntwerpterminalauthoritysayseliminatingpaperworkcouldcutthecostsofcontainertransportbyasmuchas50%。

TheChineseonlineshoppingbehemothAlibabaisexperimentingwithblockchaintoverifytheauthenticityoffoodproductsandcatchcounterfeitsbeforetheyendangerpeople’shealthandlives。

TechnologyandtransportationexecutiveshaveteameduptocreatetheBlockchaininTransportAlliance(BiTA),aforumfordevelopingblockchainstandardsandeducationforthefreightindustry。

It’slikelythatthefirstblockchain-basedenterprisesupplychainusecasewillemergeinthenextyearamongcompaniesthatseeitasanopportunitytobolstertheirlegalcomplianceandimprovebusinessprocesses。

Oncethathappens,expectotherstofollow。

CustomersWillExpectChange

It’sonlyamatteroftimebeforethesupplychainbecomesacompetitivedriver。

Thequestionfortoday’senterprisesishowtopreparefortheshift。

Customersaregoingtoexpectconstant,granularvisibilityintotheirtransactionsandfaster,morecustomizedserviceeverystepoftheway。

Organizationswillneedtobereadytomeetthoseexpectations。

Iforganizationshavemanualbusinessprocessesthatcouldneverbeautomatedbefore,nowisthetimetoseeifit’spossible。

Organizationsthathavemadeinitialinvestmentsinemergingtechnologiesarelookingathowtheirpilotprojectsarepayingoffandwheretheymightextendtothesupplychain。

Theyarestartingtothinkcreativelyabouthowtocombinetechnologiestoofferaproduct,service,orbusinessmodelnotpossiblebefore。

Amanufacturerwillloadaself-drivingtruckwitha3Dprintercapableofcreatingacustomer’sordereditemenroutetodeliveringit。

Avendorwillcapturethemarketforasociallyresponsibleproductbyallowingitscustomerstotracktheproduct’sproductionandverifythatnoneofitssubcontractorsuseslavelabor。

Andasupermarketchainwillwinovercustomersbypersuadingthemthattheirchoiceofsupermarketisalsoachoicebetweenbeingcertainofwhat’sintheirfoodandsimplyhopingthatwhat’sonthelabelmatcheswhat’sinside。

Atthatpoint,asmartsupplychainwon’tjustbeacompetitiveedge。

Itwillbecomeacompetitivenecessity。

D!

AbouttheAuthors

GilPerezisSeniorVicePresident,InternetofThingsandDigitalSupplyChain,atSAP。

TomRafteryisGlobalVicePresident,Futurist,andInternetofThingsEvangelist,atSAP。

HansThalbauerisSeniorVicePresident,InternetofThingsandDigitalSupplyChain,atSAP。

DanWellersisGlobalLead,DigitalFutures,atSAP。

FawnFitterisafreelancewriterspecializinginbusinessandtechnology。

ReadmorethoughtprovokingarticlesinthelatestissueoftheDigitalistMagazine,ExecutiveQuarterly。

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The Role Of Technology In Food Sustainability – Business Intelligence Info

Wehumansmakesenseoftheworldbylookingforpatterns,filteringthemthroughwhatwethinkwealreadyknow,andmakingdecisionsaccordingly。

Whenwetalkabouthandingdecisionsofftoartificialintelligence(AI),weexpectittodothesame,onlybetter。

Machinelearningdoes,infact,havethepotentialtobeatremendousforceforgood。

Humansarehinderedbyboththeirunconsciousassumptionsandtheirsimpleinabilitytoprocesshugeamountsofinformation。

AI,ontheotherhand,canbetaughttofilterirrelevanciesoutofthedecision-makingprocess,pluckthemostsuitablecandidatesfromahaystackofrésumés,andguideusbasedonwhatitcalculatesisobjectivelybestratherthansimplywhatwe’vedoneinthepast。

Inotherwords,AIhasthepotentialtohelpusavoidbiasinhiring,operations,customerservice,andthebroaderbusinessandsocialcommunities—anddoingsomakesgoodbusinesssense。

Foronething,eventhemostunintentionaldiscriminationcancostacompanysignificantly,inbothmoneyandbrandequity。

Themerefactofhavingtodefendagainstanaccusationofbiascanlingerlongaftertheissueitselfissettled。

Beyondmanagingriskrelatedtolegalandregulatoryissues,though,there’sabroaderargumentfortacklingbias:inarelentlesslycompetitiveandglobaleconomy,noorganizationcanaffordtoshutitselfofffrombroaderinput,morevariedexperiences,awiderrangeoftalent,andlargerpotentialmarkets。

Thatsaid,thealgorithmsthatdriveAIdon’trevealpure,objectivetruthjustbecausethey’remathematical。

HumansmusttellAIwhattheyconsidersuitable,teachitwhichinformationisrelevant,andindicatethattheoutcomestheyconsiderbest—ethically,legally,and,ofcourse,financially—arethosethatarefreefrombias,consciousorotherwise。

That’stheonlywayAIcanhelpuscreatesystemsthatarefair,moreproductive,andultimatelybetterforbothbusinessandthebroadersociety。

Bias:BadforBusiness

WhenpeopletalkaboutAIandmachinelearning,theyusuallymeanalgorithmsthatlearnovertimeastheyprocesslargedatasets。

Organizationsthathavegatheredvastamountsofdatacanusethesealgorithmstoapplysophisticatedmathematicalmodelingtechniquestoseeiftheresultscanpredictfutureoutcomes,suchasfluctuationsinthepriceofmaterialsortrafficflowsaroundaportfacility。

Computersareideallysuitedtoprocessingthesemassivedatavolumestorevealpatternsandinteractionsthatmighthelporganizationsgetaheadoftheircompetitors。

Aswegathermoretypesandsourcesofdatawithwhichtotrainincreasinglycomplexalgorithms,interestinAIwillbecomeevenmoreintense。

UsingAIforautomateddecisionmakingisbecomingmorecommon,atleastforsimpletasks,suchasrecommendingadditionalproductsatthepointofsalebasedonacustomer’scurrentandpastpurchases。

ThehopeisthatAIwillbeabletotakeontheprocessofmakingincreasinglysophisticateddecisions,suchassuggestingentirelynewmarketswhereacompanycouldbeprofitable,orfindingthemostqualifiedcandidatesforjobsbyhelpingHRlookbeyondtheexpecteddemographics。

AsAItakesontheseincreasinglycomplexdecisions,itcanhelpreducebias,consciousorotherwise。

Byexposingabias,algorithmsallowustolessentheimpactofthatbiasonourdecisionsandactions。

Theyenableustomakedecisionsthatreflectobjectivedatainsteadofuntestedassumptions;theyrevealimbalances;andtheyalertpeopletotheircognitiveblindspotssotheycanmakemoreaccurate,unbiaseddecisions。

Imagine,forexample,amajorcompanythatrealizesthatitspasthiringpracticeswerebiasedagainstwomenandthatwouldbenefitfromhavingmorewomeninitsmanagementpipeline。

AIcanhelpthecompanyanalyzeitspastjobpostingsforgender-biasedlanguage,whichmighthavediscouragedsomeapplicants。

Futurepostingscouldbemoregenderneutral,increasingthenumberoffemaleapplicantswhogetpasttheinitialscreenings。

AIcanalsosupportpeopleinmakingless-biaseddecisions。

Forexample,acompanyisconsideringtwocandidatesforaninfluentialmanagementposition:onemanandonewoman。

Thefinalhiringdecisionlieswithahiringmanagerwho,whentheylearnthatthefemalecandidatehasasmallchildathome,assumesthatshewouldpreferapart-timeschedule。

Thatassumptionmaybewellintentioned,butitrunscountertotheoutcomethecompanyislookingfor。

AnAIcouldapplycorrectivepressurebyremindingthehiringmanagerthatallqualificationsbeingequal,thefemalecandidateisanobjectivelygoodchoicewhomeetsthecompany’scriteria。

Thehopeisthatthehiringmanagerwillrealizetheirunfoundedassumptionandremoveitfromtheirdecision-makingprocess。

Atthesametime,bytrackingthepatternofhiringdecisionsthismanagermakes,theAIcouldalertthem—andotherpeopleinHR—thatthecompanystillhassomeremaininghiddenbiasesagainstfemalecandidatestoaddress。

LookforWhereBiasAlreadyExists

Inotherwords,ifwewantAItocountertheeffectsofabiasedworld,wehavetobeginbyacknowledgingthattheworldisbiased。

Andthatstartsinasurprisinglylow-techspot:identifyinganybiasesbakedintoyourownorganization’scurrentprocesses。

Fromthere,youcandeterminehowtoaddressthosebiasesandimproveoutcomes。

TherearemanyscenarioswherehumanscancollaboratewithAItopreventorevenreversebias,saysJasonBaldridge,aformerassociateprofessorofcomputationallinguisticsattheUniversityofTexasatAustinandnowco-founderofPeoplePattern,astartupforpredictivedemographicsusingsocialmediaanalytics。

Inthehighlyregulatedfinancialservicesindustry,forexample,Baldridgesaysbanksarerequiredtoensurethattheiralgorithmicchoicesarenotbasedoninputvariablesthatcorrelatewithprotecteddemographicvariables(likeraceandgender)。

Thebanksalsohavetoprovetoregulatorsthattheirmathematicalmodelsdon’tfocusonpatternsthatdisfavorspecificdemographicgroups,hesays。

What’smore,theyhavetoallowoutsidedatascientiststoassesstheirmodelsforcodeordatathatmighthaveadiscriminatoryeffect。

Asaresult,banksaremoreevenhandedintheirlending。

CodeIsOnlyHuman

Thereasonforthesechecksandbalancesisclear:thealgorithmsthatdriveAIarebuiltbyhumans,andhumanschoosethedatawithwhichtoshapeandtraintheresultingmodels。

Becausehumansarepronetobias,wehavetobecarefulthatweareneithersimplyconfirmingexistingbiasesnorintroducingnewoneswhenwedevelopAImodelsandfeedthemdata。

“Fromtheperspectiveofabusinessleaderwhowantstodotherightthing,it’sadesignquestion,”saysCathyO’Neil,whosebest-sellingbookWeaponsofMathDestructionwaslong-listedforthe2016NationalBookAward。

“Youwouldn’tletyourcompanydesignacarandsenditoutintheworldwithoutknowingwhetherit’ssafe。

Youhavetodesignitwithsafetystandardsinmind,”shesays。

“Bythesametoken,algorithmshavetobedesignedwithfairnessandlegalityinmind,withstandardsthatareunderstandabletoeveryone,fromthebusinessleadertothepeoplebeingscored。

”(TolearnmorefromO’Neilabouttransparencyinalgorithms,readThinkersinthisissue。

)

Don’tDoWhatYou’veAlwaysDone

Toeliminatebias,youmustfirstmakesurethatthedatayou’reusingtotrainthealgorithmisitselffreeofbias,or,rather,thatthealgorithmcanrecognizebiasinthatdataandbringthebiastoahuman’sattention。

SAPhasbeenworkingonaninitiativethattacklesthisissuedirectlybyspottingandcategorizinggenderedterminologyinoldjobpostings。

NothingasovertasNowomenneedapply,whicheveryoneknowsisdiscriminatory,butphraseslikeoutspokenandaggressivelypursuingopportunities,whichareproventoattractmalejobapplicantsandrepelfemaleapplicants,andwordslikecaringandflexible,whichdotheopposite。

Oncehumanscategorizethislanguageandfeeditintoanalgorithm,theAIcanlearntoflagwordsthatimplybiasandsuggestgender-neutralalternatives。

Unfortunately,thisde-biasingprocesscurrentlyrequirestoomuchhumaninterventiontoscaleeasily,butastheamountofavailablede-biaseddatagrows,thiswillbecomefarlessofalimitationindevelopingAIforHR。

Similarly,companiesshouldlookforspecificityinhowtheiralgorithmssearchfornewtalent。

AccordingtoO’Neil,there’snoone-size-fits-alldefinitionofthebestengineer;there’sonlythebestengineerforaparticularroleorprojectataparticulartime。

That’stheneedleinthehaystackthatAIiswellsuitedtofind。

LookBeyondtheObvious

AIcouldbeinvaluableinradicallyreducingdeliberateandunconsciousdiscriminationintheworkplace。

However,themoredatayourcompanyanalyzes,themorelikelyitisthatyouwilldealwithstereotypes,O’Neilsays。

Ifyou’relookingformathprofessors,forexample,andyouloadyourhiringalgorithmwithallthedatayoucanfindaboutmathprofessors,youralgorithmmaygivealowerscoretoablackfemalecandidatelivinginHarlemsimplybecausetherearefewerblackfemalemathematiciansinyourdataset。

ButifthatcandidatehasaPhDinmathfromCornell,andifyou’vetrainedyourAItoprioritizethatcriterion,thealgorithmwillbumpherupthelistofcandidatesratherthansummarilyrulingoutapotentiallyhigh-valuehireonthespuriousbasisofraceandgender。

TofurtherimprovetheoddsthatAIwillbeuseful,companieshavetogobeyondspottingrelationshipsbetweendataandtheoutcomestheycareabout。

Itdoesn’ttakesophisticatedpredictivemodelingtodetermine,forexample,thatwomenaredisproportionatelylikelytojumpoffthecorporateladderatthehalfwaypointbecausethey’restrugglingwithwork/lifebalance。

Manycompaniesfinditalltooeasytoconcludethatwomensimplyaren’tqualifiedformiddlemanagement。

However,acompanycommittedtosmarttalentmanagementwillinsteadaskwhatitisaboutthesepositionsthatmakesthemincompatiblewithwomen’slives。

Itwillthenexplorewhatitcanchangesothatitdoesn’tlosetalentandinstitutionalknowledgethatwillcostthecompanyfarmoretoreplacethantoretain。

Thatcompanymayevenapplyasecondlayerofmachinelearningthatlooksatitsownsuggestionsandmakesfurtherrecommendations:“Itlookslikeyou’retryingtodoX,soconsiderdoingY,”whereXmightbepromotingmorewomen,makingtheworkforcemoreethnicallydiverse,orimprovingretentionstatistics,andYisredefiningjobresponsibilitieswithgreaterflexibility,hostingrecruitingeventsincommunitiesofcolor,orredesigningbenefitspackagesbasedonwhatsimilarcompaniesoffer。

ContextMatters—andContextChanges

EventhoughAIlearns—andmaybebecauseitlearns—itcanneverbeconsidered“setitandforgetit”technology。

Toremainbothaccurateandrelevant,ithastobecontinuallytrainedtoaccountforchangesinthemarket,yourcompany’sneeds,andthedataitself。

Sourcesforlanguageanalysis,forexample,tendtobebiasedtowardstandardAmericanEnglish,soifyou’rebuildingmodelstoanalyzesocialmediapostsorconversationallanguageinput,Baldridgesays,youhavetomakeadeliberateefforttoincludeandcorrectforslangandnonstandarddialects。

StandardEnglishappliesthewordsicktosomeonehavinghealthproblems,butit’salsoapopularslangtermforsomethinggoodorimpressive,whichcouldleadtoanawkwardexperienceifsomeoneconfusesthetwomeanings,tosaytheleast。

Correctingforthat,oraddingmorerulestothealgorithm,suchas“Thewordsickappearsinproximitytopositiveemoji,”takeshumanoversight。

MovingForwardwithAI

Today,AIexcelsatmakingbiaseddataobvious,butthatisn’tthe?

sameaseliminatingit。

It’suptohumanbeingstopayattentionto?

theexistenceofbiasandenlistAItohelpavoidit。

ThatgoesbeyondsimplyimplementingAItoinsistingthatitmeetbenchmarksforpositiveimpact?

Thebusinessbenefitsoftakingthisstepare—orsoonwillbe—obvious。

InIDCFutureScapes’webcast“WorldwideBigData,BusinessAnalytics,andCognitiveSoftware2017Predictions,”researchdirectorDavidSchubmehlpredictedthatby2020perceivedbiasandlackofevidentiarytransparencyincognitive/AIsolutionswillcreateanactivistbacklashmovement,withupto10%ofusersbackingawayfromthetechnology。

However,SchubmehlalsospeculatedthatconsumerandenterpriseusersofmachinelearningwillbefarmorelikelytotrustAI’srecommendationsanddecisionsiftheyunderstandhowthoserecommendationsanddecisionsaremade。

Thatmeansknowingwhatgoesintothealgorithms,howtheyarriveattheirconclusions,andwhethertheydeliverdesiredoutcomesthatarealsolegallyandethicallyfair。

Clearly,organizationsthatcanaddressthisconcernexplicitlywillhaveacompetitiveadvantage,butsimplystatingtheircommitmenttousingAIforgoodmaynotbeenough。

TheyalsomaywishtosupportacademiceffortstoresearchAIandbias,suchastheannualFairness,Accountability,andTransparencyinMachineLearning(FATML)workshop,whichwasheldforthethirdtimeinNovember2016。

O’Neil,whoblogsaboutdatascienceandfoundedtheLedeProgramforDataJournalism,anintensivecertificationprogramatColumbiaUniversity,isgoingonestepfurther。

Sheisattemptingtocreateanentirelynewindustrydedicatedtoauditingandmonitoringalgorithmstoensurethattheynotonlyrevealbiasbutactivelyeliminateit。

Sheproposestheformationofgroupsofdatascientiststhatevaluatesupplychainsforsignsofforcedlabor,connectchildrenatriskofabusewithresourcestosupporttheirfamilies,oralertpeoplethroughasmartphoneappwhentheircreditscoresareusedtoevaluateeligibilityforsomethingotherthanaloan。

AswebegintoentrustAIwithmorecomplexandconsequentialdecisions,organizationsmayalsowanttobeproactiveaboutensuringthattheiralgorithmsdogood—sothattheircompaniescanuseAI?

todowell。

D!

Readmorethoughtprovokingarticlesinthe?

latestissueofthe?

DigitalistMagazine,ExecutiveQuarterly。

AbouttheAuthors:

YvonneBaurisHeadofPredictiveAnalyticsforSapSuccessFactorssolutions。

BrendaReidisVicePresidentofProductManagementforSapSuccessFactorssolutions。

SteveHuntisSeniorVicePresidentofHumanCapitalManagementResearchforSapSuccessFactorssolutions。

FawnFitterisafreelancewriterspecializinginbusinessandtechnology。

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managingEditor

可选的。

定义feed内容编辑的电子邮件地址。

pubDate

可选的。

为feed的内容定义最后发布日期。

rating

可选的。

feed的PICS级别。

skipDays

可选的。

规定忽略feed更新的天。

skipHours

可选的。

规定忽略feed更新的小时。

textInput

可选的。

规定应当与feed一同显示的文本输入域。

title

必需的。

定义频道的标题。

ttl

可选的。

指定从feed源更新此feed之前,feed可被缓存的分钟数。

webMaster

可选的。

定义此feed的web管理员的电子邮件地址。

RSSitem元素

元素

描述

author

可选的。

规定项目作者的电子邮件地址。

category

可选的。

定义项目所属的一个或多个类别。

comments

可选的。

允许项目连接到有关此项目的注释(文件)。

description

必需的。

描述此项目。

enclosure

可选的。

允许将一个媒体文件导入一个项中。

guid

可选的。

为项目定义一个唯一的标识符。

link

必需的。

定义指向此项目的超链接。

pubDate

可选的。

定义此项目的最后发布日期。

source

可选的。

为此项目指定一个第三方来源。

title

必需的。