opentext Artificial Intelligence uye Machine
Artificial intelligence (AI) iri kushandura nzira yatinodyidzana nayo nemichina uye mabatiro anoita michina nesu. Gwaro iri rinopaza mashandiro anoita AI, kusimba uye zvisingakwanisi zvemhando dzakasiyana dzekudzidza kwemichina, uye shanduko yeiyi inogara ichichinja ndima yekudzidza. Inoongorora zvakare basa reAI rakagonesa kuchengetedza analytics kana mushandisi uye entity behaviour analytics (UEBA) kuchengetedza zvirinani mabhizinesi kubva kumazuva ano akaoma cybersecurity kutyisidzira.
Machine vs Kudzidza Kwevanhu
Artificial intelligence (AI) iri kwese kwese — zvirinani, ndozvazvinoita PaOpenText™, kusimuka kweAI kunonakidza uye kunonetsa. pfungwa yeAI haiwanzo kunzwisiswa zviri nyore Kutanga iyi AI uye Muchina Kudzidza 101 gwara, isu tinoburitsa iyo AI puzzle nekupindura mubvunzo mukuru uri kubvunzwa nevanhu vazhinji: "Chii chinonzi njere dzekugadzira, chaizvo?"
Nzira iri nyore yekunzwisisa hungwaru hwekugadzira ndeyekuita mepu kune chimwe chinhu chatinotonzwisisa-hungwaru hwedu pachedu Hungwaru husiri hwekugadzira, hunoshanda sei? Padanho rekutanga, hungwaru hwedu hunotevera kufambira mberi kuri nyore: tinotora ruzivo, tinorugadzirisa, uye pakupedzisira ruzivo runotibatsira kuita.
Ngatitsemure izvi kuita dhiyagiramu yehurongwa Mumufananidzo uri pazasi, matanho matatu akajairwa ehuchenjeri hwevanhu kubva kuruboshwe kuenda kurudyi: kuisa, kugadzirisa, uye kubuda Muhuropi hwemunhu, kupinza kunoitika nenzira yekunzwa uye kuona zvinhu Meso ako, mhino, nzeve, etc , tora zvinyoro zvinyoro kuruboshwe, semafotoni echiedza kana kunhuwa kwemiti yepine, wobva wazvigadzirisa Kudivi rerudyi rehurongwa kunobuda Izvi zvinosanganisira kutaura nezviito, zvese zvinoenderana nekuti sei. isu tinogadzira iyo yakapfava yekupinda iyo uropi hwedu huri kugamuchira Kugadziriswa kunoitika pakati, uko ruzivo kana ndangariro zvinoumbwa nekudzoserwa, sarudzo uye inferences uye zvakaitwa, uye kudzidza kunoitika.
Mufananidzo 1. Uchenjeri hwevanhu
Hungwaru hwemunhu hunoshanda sei? Padanho rekutanga, hungwaru hwedu hunotevera kufambira mberi kuri nyore: tinotora ruzivo, tinorugadzirisa, uye pakupedzisira ruzivo runotibatsira kuita.
Mufananidzo wakamira pamharadzano yemugwagwa Meso ako anoona kuti mwenje wemotokari uri pamberi pako uchangobva kusvibira Kubva pane zvawakadzidza kubva pane zvakaitika (uye dzidzo yemutyairi), unoziva kuti mwenje wegirini unoratidza kuti unofanirwa kutyaira uchienda mberi. rova gasi pedal Chiyereso chegirini ndicho chekuisa mbishi, kukwidziridza kwako ndiko kubuda; zvese zviri pakati zviri processing
Kuti tifambe nehungwaru kutenderera nyika yakatitenderedza — kupindura runhare, kubika chokoreti chip makuki, kana kuteerera marambi emumigwagwa — tinofanirwa kugadzirisa mapindiro atinogashira Ichi ndicho musimboti wehungwaru hwemunhu, uye inozopedzisira yaputswa kuita zvinhu zvitatu zvakasiyana. :
- Zivo uye ndangariro. Tinovaka ruzivo apo tinodya chokwadi (kureva, Hondo yeHastings yakaitika muna 1066) uye tsika dzemagariro (kureva, kuti "Ndapota" uye "Ndinokutendai" kunoonekwa sekuremekedzwa) Uyezve, ndangariro inotigonesa kuyeuka nekushandisa ruzivo kubva zvakapfuura kusvika zvino mamiriro For example, Edward anoyeuka kuti Jane haana kumutenda nechipo chake chekuzvarwa, saka haatarisiri kuti achamutenda paanomupa chipo cheKisimusi.
- Sarudzo uye mhedzisiro. Sarudzo uye fungidziro dzinoitwa zvichibva pakuiswa kwakasanganiswa neruzivo uye/kana ndangariro For example, Edward akadya mhiripiri yejalapeno gore rapfuura uye haana kuifarira Johnny paanopa Edward mhiripiri, anosarudza kusaidya.
- Kudzidza. Vanhu vanogona kudzidza ne example, kuona, kana algorithm Mukudzidza ne example, tinoudzwa kuti imwe mhuka imbwa, imwe katsi Mukudzidza nekucherechedza, tinozvionera pachedu kuti imbwa dzinohukura uye kuti katsi meow Nzira yechitatu yekudzidza — algorithm — inotigonesa kupedza basa nekutevera. nhevedzano yematanho kana yakananga algorithm (semuenzaniso, kuita kupatsanurwa kwenguva refu)
Aya maitiro ehungwaru hwevanhu anofambirana nehungwaru hwekugadzira Sekutora kwatinoita ruzivo, kurwugadzira, uye kugovera zvinobuda, saka nemichina inogona kudaro Ngatitarisei pamufananidzo uri pazasi kuti tione kuti izvi zvinobuda sei.
Mufananidzo 2. Artificial intelligence
Kuti tifambe nehungwaru pasirese yakatitenderedza- kupindura runhare, kubika chokoreti chip makuki, kana kuteerera marambi emumigwagwa-tinofanirwa kugadzirisa mapindiro atinotambira.
Mumichina, chikamu chekupinza chehungwaru hwekugadzira chinoratidzirwa nekugadziriswa kwemutauro wechisikigo, kuzivikanwa kwekutaura, kuzivikanwa kwekuona, uye nezvimwe Unoona matekinoroji akadaro uye maalgorithms kwese kwese, kubva kumotokari dzinozvityaira dzinoda kunzwa nzira uye zvipingamupinyi, kune Alexa kana Siri. painoziva kutaura kwako Zvinobuda zvinotevera inzira idzo michina inodyidzana nenyika yakatitenderedza Izvi zvinogona kutora chimiro che marobhoti, masisitimu ekufambisa (kutungamira idzo mota dzinozvityaira), kugadzira kutaura (semuenzaniso, Siri), nezvimwe pakati, tine maitiro akasiyana-siyana ekugadzirisa anoitika
Zvakafanana nekuwanda kwedu kweruzivo uye ndangariro, michina inogona kugadzira inomiririra yeruzivo (semuenzaniso, girafu dhatabhesi, ontologies) inovabatsira kuchengetedza ruzivo nezvenyika Sezvinongoita vanhu kuita sarudzo kana kudhirowa kufungidzira, michina inogona kufanotaura, kugadzirisa chinangwa kana mhedzisiro, uye sarudza matanho anotevera kana sarudzo dzekuzadzisa chinangwa chaicho
Pakupedzisira, sezvatinodzidza ne example, kuona, kana algorithm, michina inogona kudzidziswa uchishandisa nzira dzinofananidzira Kudzivirirwa kwemuchina kudzidza kwakafanana nekudzidza ne ex.ample: komputa inopihwa dhata rine "mavara" mukati me data seti inoshanda semhinduro, uye inozopedzisira yadzidza kutaura mutsauko pakati pemavara akasiyana (semuenzaniso, iyi dataset ine mapikicha akanyorwa kuti "imbwa" kana "katsi", uye nezvakakwana exampse, komputa inozoona kuti imbwa kazhinji dzine miswe mirefu uye nenzeve dzisina kunanga kupfuura katsi)
Kudzidza kwemichina isina kutarisirwa, kune rumwe rutivi, kwakafanana nekudzidza nekucherechedza Kombuta inoona maitiro (imbwa dzinohukura uye katsi meow) uye, kuburikidza neizvi, inodzidza kusiyanisa mapoka uye mapatani pachayo (semuenzaniso, kune mapoka maviri emhuka anogona kupatsanurwa neruzha rwavanoita; rimwe boka rinohukura-imbwa-uye rimwe boka meows- katsi) Kudzidzira kusingatarisirwe hakudi mavara uye saka kunogona kuve kwakanaka kana seti yedata yakaganhurirwa uye isina mavara Pakupedzisira, kudzidza nealgorithm ndiko chii chinoitika kana mugadziri anoraira komputa chaizvo zvekuita, nhanho-nhanho, muchirongwa chesoftware.
dhiyabhorosi, iwo chaiwo uye akashomeka mhedzisiro yehungwaru hwekugadzira inoda musanganiswa wemitoo yekudzidza Yese inotariswa uye isina kutariswa yekudzidza muchina inzira dzinobatsira- zvese ndezvekushandisa nzira chaiyo kana nzira dzekushandisa chaiyo kesi.
Tevere, tichaisa kudzidza muchina pasi pemaikorosikopu kuti tinzwisise kuti chikamu ichi cheAI chinoratidza sei ma neurons muuropi hwedu kuti tishandure inopinza kuita yakakwana yekubuda.
Sezvineiwo, iyo chaiyo uye inoshanda yehungwaru hwekugadzira mhedzisiro inoda musanganiswa wenzira dzekudzidza. Dzese dzakatariswa uye dzisina kutariswa muchina kudzidza inzira dzinobatsira - zvese ndezvekushandisa nzira chaiyo kana nzira dzekushandisa chaiyo kesi.
Iyo Neural Network uye Kudzidza Kwakadzika
Kudzidza kwemichina ingori chikamu chimwe cheAI, kunyangwe iine yakakura subset yealgorithms mukati mayo Imwe nzira yaunonzwa kazhinji nhasi ndeye "kudzidza kwakadzama," algorithm yakagamuchira chikamu chakanaka chekutariswa munhau mumakore achangopfuura Kuti unzwisise. mukurumbira uye kubudirira kwayo, zvinobatsira kunzwisisa mashandiro azvinoita Kudzidza kwakadzama ishanduko yemuchina wekudzidza algorithm yaive yakakurumbira kuma1980s yaungaziva: neural network.
Neural network - chirongwa chechirongwa chatinodzidzisa michina "kudzidza" - inofemerwa nema neuron, kana maseru akasarudzika mumuviri wemunhu anoumba hwaro hwehurongwa hwedu hwetsinga, uye huropi kunyanya Aya maseru anofambisa masaini mumiviri yedu yese anotanga kutya. mhinduro dzehurongwa uye maitiro Neurons ndiwo anotigonesa kuona, kunzwa, kunhuwidza, nezvimwe.
Mufananidzo 3. Maneuroni anogamuchira uye kutumira mameseji
Zvakawanda zvatinofunga sekudzidza kwevanhu zvinogona kutsanangurwa nekusimba kwekubatana pakati pema neuron maviri muuropi hwedu, pamwe chete nesimba remupendero we synapses yedu.
Mune chimwe chikamu chegwaro iri, takakurukura maitiro ekutanga ehungwaru hwevanhu: kuisa kuruboshwe, uye kuburitsa kurudyi Iyo neuron (inoratidzwa pamusoro) inoita basa rakakosha mune izvi Kuruboshwe rweungwaru, sero muviri unounganidza. "Input" Kana yangowana mapindiro akakwana kana kukurudzira, axon fres, ichiendesa ruzivo kudivi rekurudyi-synapse "Kubuda" kunotumirwa kune dzimwe neuroni.
Chero nguva ipi zvayo, tsinga dzedu dziri kupfuudza mameseji pakati peumwe Masero aya ane basa rekukwanisa kwedu kuona zvakatipoteredza Uye patinodzidza, tsinga dzedu dzinoshanda zvakanyanya Kutaura zvazviri, zvizhinji zvatinofunga sekudzidza kwevanhu zvinogona kutsanangurwa. kwakasimba zvakadii kubatana pakati pema neuron maviri muuropi hwedu, pamwe nesimba remupendero we synapses yedu
A neural network ndeye masvomhu simulation yemuunganidzwa wemasero euron Mufananidzo uri pazasi unomiririra basic neural network ine 3 layer uye 12 node.
Imwe neimwe denderedzwa nodi inomiririra artificial, biologically yakafemerwa "neuron" Mitsetse inomiririra kubatana kubva mukubuda kweimwe artificial neuron kuruboshwe kuenda kune imwe kurudyi Zviratidzo pakati pema neuron aya anoyerera achitevedza mitsetse kubva kuruboshwe kuenda kurudyi Mune network idzi. , kupinza-zvakadai sepixel data-inoyerera ichibva pachikamu chekuisa, kuburikidza nepakati "yakavanzwa" mitsara, uye pakupedzisira kusvika kune inobuda mutsetse unotsanangurwa nemasvomhu equations zvakasununguka zvakafemerwa nebasa remagetsi mune chaiyo biological neurons.
Mufananidzo 4. Nyore neural network
Neural network dzidza nekuyedza kuenzanisa seti yedata inounzwa kune yekuisa layer kune inodiwa mibairo mune inobuda layer. Iwo masvomhu equations anokokorodza zvakabuda, enzanisa yakatedzerwa kuburitsa kune yainoda mhedzisiro, uye mhedzisiro misiyano inozoburitsa tweaks kusimba rekubatanidza.
Neural network inodzidza nekuyedza kuenzanisa seti yedata inounzwa kune yekuisa layer kune inodiwa mibairo mune inobuda layer Iyo masvomhu equation inoverengera zvabuda, enzanisa iyo yakateedzerwa yakabuda kune yaunoda mhedzisiro, uye mhedzisiro misiyano inobva yaburitsa tweaks kune simba rekubatanidza. Aya ma tweaks anodzokororwa zvakagadziridzwa kudzamara iyo computed inobuda yave pedyo zvakakwana kune yaidiwa mhedzisiro, panguva iyoyo tinoti neural network "yadzidza"
Mufananidzo 5. Complex neural network
Aya "akadzama" neural network anogona kuita kufanotaura kwakaoma zvakanyanya Panogona kuve nezviuru zvemanodhi uye mazana ezvirongwa, izvo zvinoreva zviuru zvemaverengero akasiyana Mamodeli ekudzidza akadzama ave akanaka kwazvo pamatambudziko chaiwo, sekutaura kana kuzivikanwa kwemifananidzo.
Zvakakosha kuziva, zvisinei, kuti kudzidza kwakadzama hakusi sirivheri yekudzidza muchina- kunyanya kwete mucybersecurity, uko dzimwe nguva pasina huwandu hukuru hwe data rakachena rakanakira nzira dzakadzika dzekudzidza Zvakakosha kutora algorithm chaiyo, data, nemisimboti yebasa Iyi ndiyo nzira yakanakisa yekuti michina iunganidze humbowo, kubatanidza madots, uye kutora mhedziso.
Neural network ingaite senge zvinhu zvenguva yemberi, asi zvavepo kwenguva yakati rebei, Neural network yakavakirwa pamazano akatanga kutenderera kumashure kuma1940s Muchikamu chinotevera, tichatora rwendo rupfupi kudzoka munguva kuti tinzwisise. kuti neural network uye kudzidza kwemichina kwasvika sei kuzopinda munzvimbo dzakawanda dzehupenyu hwazvino.
Neural network ingaite senge zvinhu zveramangwana, asi zvavepo kwechinguva. Muchokwadi, neural network yakavakirwa pamazano akatanga kutenderera kumashure kuma1940s.
Nhoroondo Pfupi yeArtificial Intelligence
Kune vamwe vanhu, izwi rekuti Artificial intelligence (AI) rinogona kumutsa mifananidzo yemaguta emangwana ane mota dzinobhururuka uye marobhoti emumba Asi AI haisiriyo fungidziro yeramangwana, zviri nani kwete zvakare zvakadzorwa kubva kukare (kureva mwari wechiGiriki Hephaestus's talking mechanical handmaids) ¹ Kubva kuma1930s, vesainzi nevemasvomhu vanga vachishuva kuongorora kugadzira njere dzechokwadi dzakaparadzana nevanhu.
Nguva yekutsanangudza yeAI pakati pezana ramakore rechi20 kwaive kusangana kunofadza kwemasvomhu nebhayoroji, nevatsvagiri vakaita saNorbert Wiener, Claude Shannon, naAlan Turing vakatosimuka pamharadzano yemasaini emagetsi uye computation Pakazosvika 1943, Warren McCulloch naWalter Pitts. yakanga yagadzira modhi yeneural network Neural network yakagadzira nzira yenyika itsva yakashinga yekombuta ine simba guru rebhiza, uye, muna 1956, ndima yeAI yekutsvaga yakagadzwa zviri pamutemo sechirango chedzidzo.
Iyo yekupedzisira hafu yezana ramakore yaive zera rinonakidza rekutsvaga kweAI uye kufambira mberi, kukanganiswa nguva nenguva ne "AI yechando" pakati pe70s uye yekupedzisira 80s apo AI yakatadza kuzadzisa tarisiro yeruzhinji, uye kudyara mufeld kwakaderedzwa Asi kunyangwe zvipingamupinyi, mashandisirwo akasiyana eAI uye kudzidza muchina kwaionekwa kuruboshwe nekurudyi Imwe anecdote yechishandiso chakadaro yave mufananidzo wakakurumbira mukati mesaenzi nharaunda, ichitaura zvinobudirira kumiedzo nematambudziko ekutsvaga kweAI nekuita.
Nyaya inoenda seizvi:
Muma1980, Penitagon vakasarudza kushandisa neural network kuti vaone matangi akavharidzirwa Kushanda ne-mainframe imwe chete (kubva kuma1980, ramba uchifunga), neural net yakadzidziswa nemifananidzo 200-100 matangi nemiti 100 Pasinei neneural network shoma (nekuda kwema1980 zvisingakwanisi pa computation uye ndangariro), iyo lab kudzidziswa kwakakonzera 100% kunyatsoita Nekubudirira kwakadai, timu inosarudza kuipa iyo yekubuda mufeld Zvigumisiro zvaive zvisina kunaka.
Mufananidzo 6. Lab vs munda mifananidzo (Kwakabva: Neural Network Follies, Neil Fraser, Gunyana 1998)
Nekuvepo kwezviwanikwa zvemakomputa zvakakura izvo zvakange zvisina kufungidzira kumashure kuma1980, yakadzika neural network yakakurumidza kuve nzvimbo yakakurumbira yekutsvagisa. Kudzidza kwakadzama kunopa sisitimu kugona “kudzidzira” otomatiki kuburikidza nemabhiriyoni emusanganiswa uye nekutarisa, kuderedza kutsamira kune zviwanikwa zvevanhu.
Nei iyo neural network yakaita zvinoshamisira pamifananidzo iri murabhoritari, asi ichitadza zvachose mufeld? Zvakazoitika kuti mifananidzo isiri-tank yakatorwa mazuva apo denga rakanga rakasviba; mifananidzo yose yemiti yakatorwa pamazuva apo zuva raipenya. Neural net yakanga yadzidziswa kuziva zuva, kwete matangi.
Pakupedzisira, zvakadaro, kucherechedzwa kwekuona kuburikidza nekudzidza kwakadzama-kunofambiswa neneural network yakanyanya kuoma kupfuura Pen.tagkuma1980 mainframe ingadai yakakwanisa kubata-yakava chokwadi Muna 2012, Stanford purofesa Andrew Ng uye Google shamwari Jef Dean vakagadzira imwe yekutanga yakadzika neural network vachishandisa 1000 makombiyuta ane 16 cores imwe neimwe Basa: ongorora mamiriyoni gumi eYouTube mavhidhiyo : yakawana katsi ² Nekuda kwe "kudzidza kwakadzama" algorithm, network yakakwanisa kuziva katsi nekufamba kwenguva, uye nekurongeka kwakanaka.
Nekuvepo kwezviwanikwa zvemakomputa zvakakura izvo zvaive zvisina kurongeka kumashure kuma1980, yakadzika neural network yakakurumidza kuve nzvimbo yakakurumbira yekutsvagisa Kudzidza kwakadzama kunopa sisitimu kugona "kudzidza" otomatiki kuburikidza nemabhiriyoni emasanganiswa uye nekutarisa, kuderedza kutsamira pa. Zvishandiso zvevanhu Mukati meiyo cybersecurity domain, iyo nzira yave kunyanya kuvimbisa kuona malware-mamiriro atine makuru dataset ane akawanda ex.ampzvishoma zvemalware kubva kune network inogona kudzidza
Nehurombo, nzira dzekudzidza dzakadzama parizvino hadzina kunyatso shanda kana zvasvika kune dzimwe nyaya dzekushandisa, sekutyisidzira kwemukati, nekuti isu hatina chaiyo mhando yedata pamhando idzi dzekurwiswa, mumavhoriyamu anodiwa Kazhinji, ruzivo rwatinarwo. pakutyisidzira kwemukati kune anecdotal, isingagone kushandiswa nemazvo nemhando idzi dzeneural network.
Kusvikira takwanisa kuunganidza mamwe madatasets anoshanda (uye kuderedza mutengo uye kuoma kwemasisitimu ekudzidza kwakadzama), kudzidza kwakadzama haisiriyo sarudzo yakanaka kune ese mashandisirwo enyaya Uye ndizvo zvakanaka Kudzidza kwakadzama ingori imwe yeakawanda muchina kudzidza algorithms, uye nzira idzi dzinogona kuva. sokunge kuti hachina kukosha—zvose zvinoenderana nebasa riripo
Isu takaona hukuru hwehunyanzvi hweAI tekinoroji mumakumi matanhatu emakore kubva payakatanga "kuzvarwa" zviri pamutemo, uye isu tangokwenya pamusoro, kunyanya mukuchengetedzeka Zvinotevera, tichatora kunyura kwakadzama mumashandisirwo angangoita eAI uye analytics kushandura nzira yatinoziva uye kupindura kune njodzi dzekuchengetedza.
Predictive analytics ingori chidimbu chimwe chepuzzle yakakura kwazvo iyo inogona kutipa muono unobatsira wezvikwata zvekuchengetedza.
Isu takaona hukuru hwehunyanzvi hweAI tekinoroji mumakumi matanhatu emakore kubva payakazvarwa zviri pamutemo, uye isu tangokwenya pamusoro, kunyanya mukuchengetedzeka.
Chiratidzo Chitsva cheSecurity Analytics
Parizvino, gwara iri rakanyatso tarisisa pakudzidza kwemuchina, kunzwisisa kugumira uye simba rayo Pane yakakura mukana wekudzidza muchina kufambisa AI, asi zvakakosha kuziva kuti mutambo wakakura wekutyisidzira hausi wekudzidza kwakadzama kana kudzidza muchina. sezvatinozviziva nhasi Nzira itsva dzekuongorora dzakasanganiswa nemhando itsva dze data dzinogona kutipa maitiro matsva ekuongorora nekuita pamusoro pekutyisidzira kwekuchengetedza.
| Nzira Itsva | Adaptive Analysis Continual Analysis Optimization pasi peKusavimbika | Kupindura kune mamiriro Kupindura kune shanduko yemunharaunda / mhinduro Kuverengera kana kuderedza njodzi |
| Traditional | Optimization Predictive Modelling Simulation Forecasting Alerts Query/Drill Down Ad hoc Reporting Standard Reporting | Kuoma kwechisarudzo, kukurumidza kugadzirisa Zvakangoitika, probabilistic, kuvimba mazinga Kuvimbika kukuru, mitambo, kurima data Maseti makuru edata, kudzokororwa kusingaite Mitemo/zvinokonzeresa, zvine chekuita nemamiriro ezvinhu, zviitiko zvakaoma Mundangariro data, kutsvaga kusinganzwisisike, geo spatial Mubvunzo na ex.ample, mushandisi anodzivirira mishumo Chaiyo nguva, zviono, kupindirana kwevashandisi |
| New Data | Entity Resolution Relationship, Feature Extraction Annotation uye Tokenization | Vanhu, mabasa, nzvimbo, zvinhu Mitemo, semantic inferencing, kuenzanisa Automated, mhomho inotorwa |
Isu takaona izvo analytics inogona kuita kune mamwe maindasitiri, uye pane mukana weanalytics kuve nemhedzisiro yakakura pacybersecurity, zvakare Isu tinoona izvi zvichitora chimiro mundima itsva yatinodaidza sekuchengetedza analytics, iyo inonyanya kutora iyo yehondo-yakaedzwa. algorithms uye nzira dzatakurukura (nezvimwe) uye nekudzishandisa dzinobatsira kugadzirisa matambudziko akaomarara mukuchengetedza.
Kuongorora kwakajairika kwatinoona mukuchengetedza nhasi kunosanganisira mienzaniso yekufungidzira, iyo inotibvumira kuziva kuti njodzi dzingave dzipi mukati mehuwandu hwemashoko (apa ndipo panowanikwa anomaly fts in) Muchidimbu, kufanotaura kwekufananidzira kunobatanidza data yekare nemaitiro chaiwo-nguva. kunzwisisa kana kufanotaura maitiro emunguva yemberi Neizvi, tinokwanisa kupindura mubvunzo, “Chii chinotevera?”
Asi chiono chedu chekuchengetedza analytics hachimire pano Predictive analytics ingori chidimbu chimwe chepuzzle yakakura iyo inogona kutipa ruzivo rwakawanda runobatsira kune zvikwata zvekuchengetedza Iyo yakanaka analytics paradigm inosanganisa yakangwara sensor uye ubiquitous data masosi-desktop nemaseva, nharembozha. , gore, masocial network, data rakavhurika, nezvimwe-ine akawanda epamusoro ekuongorora maitiro ekuzvibata uye kuongororwa kwekutyisidzira, kusanganisira kuongororwa kwe forensic, kuenzanisira njodzi, kuona kusiririsa, maitiro uye kugadzirisa mhinduro, nezvimwe.
Izvi zvinoreva kuti isu tinogona kuita zvakanyanya kupfuura kufanotaura kana kuziva kutyisidzira Zvinotitendera kuti tiende mberi kuti tipe kwete kungoonekwa kwepamberi asi nzwisiso yekuti tingapindura sei zvinobudirira Chengetedzo analytics inotipa simba rekupindura mimwe mibvunzo yakakosha, senge "Sei matyisidziro akawanda aripo?" uye “Ndeipi kuita kwakanakisisa kunobvira?”
Hatisati tamboona mamwe makirasi eanalytics senge nzira dzekugadzirisa dzakashandiswa kune cybersecurity parizvino, asi vane hukuru hwekugona Aya matekiniki anotarisa maitiro ese anogona kuitika kune njodzi yekuchengetedza uye kuona mhinduro yakanaka Hongu, pane nzira dzekuita izvi nemasvomhu.
For exampuye, nzira dzekugadzirisa dzinoshandiswa kana iwe ukafonera kune yako mbozha sevhisi ine nyaya Ivo havasi kuita kurudziro yekuti uvandudze hurongwa hwako hwesevhisi here kana kuti kwete; vanovimba neseti yemasvomhu kumashure iyo inotarisa kunhare dzako dzekufona, nhamba yemafoni akadonhedza, kuti nhoroondo yako inofananidzwa sei neyevamwe vashandisi, etc Inotoverengera mukana wekuti iwe unogona kushandura kune mumwe mupi webasa Zvadaro, kunze. pamatanho ese anotevera anogoneka, inoverengera yakanakisa nhanho inotevera yekuwedzera kuchengetwa kwevatengi
Iwo masvomhu mamwe chete anogona kuiswa kuchikwata chekuchengetedza kuona njodzi, kupa akati wandei nzira dzekuita, uye kuona masvomhu mhinduro yakanakisa yekuwedzera kuvepo kwenjodzi iyi.
Kukurumidza kusimuka uye kushanduka kwekutyisidzira kwekuchengetedza kunoita kuti rudzi urwu rwekupindura rwukoshese Tine data rakawanda nhasi kupfuura nakare kose. Tinovonga, isu tine simba rakawanda remakomputa, maalgorithms ari nani, uye kudyara kwakawanda mukutsvaga uye matekinoroji kutibatsira kunzwisisa data iri. kuburikidza nemasvomhu Neakaundi ese, tinotenda kuti chengetedzo analytics ichangotanga.
Tine data rakawanda nhasi kupfuura nakare kose. Nechemumoyo, isu zvakare tine rakawanda compute simba, ari nani algorithms, uye yakafara investimendi mukutsvagisa uye matekinoroji kutibatsira kuita pfungwa yeiyi data kuburikidza nemasvomhu. Neakaundi ese, isu tinotenda kuti kuchengetedza analytics ichangotanga.
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