Knowledge Graphs And Machine Learning -- The Future Of AI ...

Machine learning is great for answering questions, and knowledge graphs are a step towards enabling machines to more deeply understand data such as video, ... 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English EnglishGerman KünstlicheIntelligenzinUnternehmen:InnovativeAnwendungenin50erfolgreichenFirmenDerBestsellerautorundGeschäftsrenommierterKI-ExperteBernardzeigt,wiesterbenTechnologiedesmaschinellenLernensdasvonUnternehmenverändert. DasBuchbieteteinenÜberblickübereinzelneUnternehmen,beschreibtdasspezifischeProblemunderklärt,wieKIdieLösungerleichtert. JedeFallstudiebieteteinenumfassendenEinblick,dereinigetechnischeDetailswichtigeLernzusammenfassungenenthält. MarrsBuchisteineaufschlussreicheundinformativeUntersuchungdertransformativenKraftderTechnologieinderWirtschaftdes21.Jahrhunderts. ViewBook Searchfor: Writtenby BernardMarrBernardMarrisaworld-renownedfuturist,influencerandthoughtleaderinthefieldsofbusinessandtechnology,withapassionforusingtechnologyforthegoodofhumanity.Heisabest-sellingauthorof20books,writesaregularcolumnforForbesandadvisesandcoachesmanyoftheworld’sbest-knownorganisations.Hehasover2millionsocialmediafollowers,1millionnewslettersubscribersandwasrankedbyLinkedInasoneofthetop5businessinfluencersintheworldandtheNo1influencerintheUK. Bernard’slatestbookis‘BusinessTrendsinPractice:The25+TrendsThatAreRedefiningOrganisations’ ViewLatestBookFollowMeBernardMarristeinweltbekannterFuturist,InfluencerundVordenkerindenBereichenWirtschaftundTechnologiemiteinerLeidenschaftfürdenEinsatzvonTechnologiezumWohlederMenschheit.EristBestsellerautorvon20Büchern,schreibteineregelmäßigeKolumnefürForbesundberätundcoachtvielederweltweitbekanntestenOrganisationen.Erhatüber2MillionenSocial-Media-Follower,1MillionNewsletter-AbonnentenundwurdevonLinkedInalseinerderTop-5-Business-InfluencerderWeltundvonXingalsTopMind2021ausgezeichnet. BernardsneuesteBüchersind‘KünstlicheIntelligenzimUnternehmen:InnovativeAnwendungenin50ErfolgreichenUnternehmen’ ViewLatestBookFollowMe KnowledgeGraphsAndMachineLearning—TheFutureOfAIAnalytics?2July2021 Theunprecedentedexplosionintheamountofinformationwearegeneratingandcollecting,thankstothearrivaloftheinternetandthealways-onlinesociety,powersalltheincredibleadvancesweseetodayinthefieldofartificialintelligence(AI)andBigData. Withthisinmind,agreatdealofthoughtandresearchhasgoneintoworkingoutthebestwaytostoreandorganiseinformationduringthedigitalage.Therelationaldatabasemodelwasdevelopedinthe1970sandorganisesdataintotablesconsistingofrowsandcolumns–meaningtherelationshipbetweendifferentdatapointscanbedeterminedataglance. Thisworkedverywellintheearlydaysofbusinesscomputing,whereinformationvolumesgrewslowly.Formorecomplicatedoperations,however–suchasestablishingarelationshipbetweendatapointsstoredinmanydifferenttables–thenecessaryoperationsquicklybecomecomplex,slowandcumbersome. Machinelearning–theself-teachingalgorithmsdesignedtobecomemoreaccurateatgeneratingpredictionsfromdataastheyarefedincreasinglylargevolumesofinformation–oftenneedtodrawdatafromvastanddisparatedatasets.Itquicklybecameapparentthatanewapproachwasnecessary. TheKnowledgeGraph Therehavebeenmanyattemptstoimproveonthefunctionalityoftherelationaldatabasesincethemodelwasfirstdeveloped.Onewhichisquicklygrowinginpopularityduetoitsflexibilityandpotentialfordealingwithcomplex,interrelateddata,istheknowledgegraph(sometimesknownasagraphdatabase.) Themeaningofthetermisnotpreciselyset-in-stone–forexample,GooglehasaspecificfeaturewhichitcallstheKnowledgeGraph,whichpowersthesectionofitssearchresultspagethatdisplaysfactualinformation,drawnfromrecognisedsourcesofauthority. Whilethisisbuiltwithseveralofthesameideasthatfeedintothebroaderconceptoftheknowledgegraph,it’snotthebe-allandend-allofthetechnology. Inbasicterms,aknowledgegraphisadatabasewhichstoresinformationinagraphicalformat–and,importantly,canbeusedtogenerateagraphicalrepresentationoftherelationshipsbetweenanyofitsdatapoints. Thismeansthattheapparentadvantageovertheolder,relationalstyledatabaseisthattherelationshipsbetweenanydatapointscanbecalculatedfarmorequicklyandwithlesscomputepoweroverheads,regardlessofwhetherthedatapointsfitneatlytogetherintoatable. Oracle–whichactuallyreleasedthefirstcommerciallyavailablerelationaldatabasemanagementsystemin1978–isnowleadingthefieldinmakingknowledgegraphsystemsavailabletothewiderbusinesscommunity.Currently,you’remorelikelytofindthembeingusedbytechgiantsandresearchinstitutions,butthisissettochangeintheverynearfuture. HassanChafi,seniordirectorofresearchandadvanceddevelopmentatOracleLabs,describesthedifferencebetweenrelationalandgraphdatabasestomeinthisway:“Witharelationaldatabase…itjustdealswithtables…itallowsyoutofindarowinatable,ortaketwotablesandcombinethem…andwitheveryjoin,you’retraversingonehopinthesegraphs,butyou’rereasoningaboutitinthesetabularways. “Sonowwhatwe’resayingis,whatifyouweretorearrangethatsameinformationasagraph?Nowit’svisual,andinsteadofhavingthesetablesrepresentingconnexions,youhaveverticeswhichrepresentpeople,oraccounts,andyouhave‘edges’whichrepresentrelationships.NowIcanmorequicklysay,‘ok,areBobandCharlierelated?AndIcanseeeasilythattheyare.” Whousesknowledgegraphs? Atthemoment,knowledgegraphsarewidelyusedbythetechgiantsthathavemadegatheringandanalysinghugevolumesofmessy,complexdatatheircorebusiness.TheypowerGoogle’ssearchengine,astheoriginalpagerankalgorithmisbasedonaformofknowledgegraph,aswellaslateradditionstoitssearchtechnologysuchastheKnowledgeGraph. Facebookalsoreliesonthisformofinformationorganisation,tokeeptrackofnetworksofpeopleandtheconnexionsbetweenthem,aswellaseveryotherdatapointtheyusetobuildapictureoftheirusers,suchasfavouriteartistsandmovies,eventsattendedandgeographicallocations.Oneofitsmostsignificantbreakthroughsisconsideredtobetherealisationthattherelationshipsbetweendatapointsareasvaluableasthedatapointsthemselveswhenitcomestobuildingsocialnetworks. Netflixusesknowledgegraphtechnologytoorganiseinformationonitsvastcatalogueofcontent,drawingconnexionsbetweenmoviesandTVshowsandtheactors,directorsorproducerswhoputthemtogether.Thishelpsthemtopredictwhatcustomersmightliketowatchnext,andfosterthe“binge-watching”modelofconsumptionithasbuiltitsbusinessaround. ElectronicsandmanufacturinggiantSiemensusesknowledgegraphstobuildaccessiblemodelsofallofthedataitgeneratesandstores,anduseitforriskmanagement,processmonitoringandbuilding“digitaltwins”–simulatedversionsofreal-worldsystemswhichcanbeusedfordesign,prototypingandtraining. Insupplychainlogistics,knowledgegraphscanbeusedtokeeptrackofinventoriesofdifferentcomponentsandparts,allowingmanufacturerstounderstandthecrossoverbetweenmaterialsthatareusedindifferentproducts. Theyarealsobeingquicklyadoptedbythefinancialservicesindustry,wheretheyareusefulforassessingwhetherornottransactionsarefraudulent,aswellasmanyotherfunctionssuchasmarketingandinvestmentanalytics. Chafitellsme“Inparticularforcrimeandcompliance…formoneylaundering,onecanthinkofmoneymovingaroundasagraph,andyouneedtothinkaboutwhetherthosemovementsareriskyornot…Ifyouweretofollowthetrailthatstartsfromoneplace,doesitcomebacktothesameplaceafteranindefinitenumberofhops?” Machinelearning Withindustriesincreasinglyadoptingmachinelearning,itseemslikelythatknowledgegraphtechnologywillalsoevolvehand-in-hand.Aswellasbeingausefulformatforfeedingtrainingdatatoalgorithms,machinelearningcanquicklybuildandstructuregraphdatabases,drawingconnexionsbetweendatapointsthatwouldotherwisegounnoticed. Machinelearningisgreatforansweringquestions,andknowledgegraphsareasteptowardsenablingmachinestomoredeeplyunderstanddatasuchasvideo,audioandtextthatdon’tfitneatlyintotherowsandcolumnsofarelationaldatabase. Thiscouldpotentiallyrevolutionisefieldswherethetechnologyundoubtedlyhasapplicationsthathavenotyetbeenfullyexplored,includinghealthcareandlaw. Aswithmachinelearningitself,whatstartedasanacademicexercisebeforebeingadoptedbythemostcutting-edgetechcompanieswillnodoubt“trickledown”,astoolsandframeworksdesignedtomakeitaccessiblebecomemorewidelyavailable.  RelatedArticles TheBestExamplesOfDigitalTwinsEveryoneShouldKnowAbout Thedigitaltwinisanexcitingconceptandundoubtedlyoneofthehottesttechtrendsrightnow.[...] ReadMore WhatAreTheMostIn-DemandAISkills? 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