Automation: iro ramangwana re data sainzi uye muchina kudzidza?

Kudzidza kwemuchina kwave kuri kumwe kufambira mberi kukuru munhoroondo yekomputa uye ikozvino kwaonekwa sekugona kuita basa rakakosha mumunda wedata hombe uye analytics. Big data analytics idambudziko rakakura kubva pakuona kwebhizinesi. Semuenzaniso, zviitiko zvakaita sekunzwisisa nhamba hombe yemhando dzakasiyana dzemafomati, kuongorora kugadzirirwa kwedata uye kusefa data rakadzama kunogona kuve kwakanyanya zviwanikwa. Kuunganidza nyanzvi dzesainzi nyanzvi chirevo chinodhura uye kwete nzira yekupedza kambani yega yega. Nyanzvi dzinotenda kuti muchina kudzidza kunogona kugadzirisa akawanda emabasa anoenderana ne analytics - ese maitiro uye akaomarara. Automated muchina kudzidza kunogona kusunungura zvakakosha zviwanikwa izvo zvinogona kushandiswa kune rakaomarara uye rakajeka basa. Kudzidza kwemuchina kunoratidzika kunge kuri kufamba mune ino nguva dzose.

Otomatiki mune mamiriro ehunyanzvi tekinoroji

MuIT, otomatiki ndiko kubatana kwenzvimbo dzakasiyana nesoftware, ichivagonesa kuita mamwe mabasa pasina kupindira kwevanhu. MuIT, otomatiki masystem anogona kuita ese ari nyore uye akaoma mabasa. Muenzaniso webasa rakareruka unogona kunge uri wekubatanidza mafomu nemaPDF uye kutumira magwaro kune chaiye anogamuchira, uku uchipa zvekusaiti saiti inogona kunge iri muenzaniso webasa rakaomarara.

Kuti uite basa rako nemazvo, unofanirwa kuronga kana kupa rairo yakajeka kune iyo otomatiki system. Imwe neimwe nguva otomatiki sisitimu inodikanwa kuti igadzirise chiyero chebasa rayo, chirongwa kana kuraira kwakatemwa kunoda kugadziridzwa nemumwe munhu. Kunyangwe iyo otomatiki sisitimu inoshanda pabasa rayo, zvikanganiso zvinogona kuitika nekuda kwezvikonzero zvakasiyana. Kana zvikanganiso zvikaitika, chinokonzera chinoda kuzivikanwa nekugadziriswa. Zviripachena, kuti iite basa rayo, otomatiki system inoenderana zvizere nevanhu. Izvo zvakanyanya kuomarara mhando yebasa, inowedzera mukana wekukanganisa nematambudziko.

Muenzaniso wakajairika we otomatiki muIT indasitiri ndiyo otomatiki yekuyedzwa kwewebhu-based mushandisi nzvimbo. Mhosva dzekuyedza dzinopihwa muchimisikidzo script uye mushandisi interface inoedzwa zvinoenderana. (Kuti uwane zvimwe nezvekushandisa kwekudzidza kwemuchina, ona Machine Kudzidza uye Hadoop mune Inotevera Generation Kubiridzira Kutsvaga.)

Iyo nharo inofarira otomatiki ndeyekuti inoita zvakajairwa uye zvinodzokororwa mabasa uye inosunungura vashandi kuti vaite zvakanyanya kuomarara uye zvekugadzira mabasa. Nekudaro, zvinotaurwawo kuti otomatiki yabvisa huwandu hwakawanda hwemabasa kana mabasa akamboitwa nevanhu. Zvino, nemuchina wekudzidza uchipinda mumaindasitiri akasiyana siyana, otomatiki anogona kuwedzera imwe nhanho.

Iyo ramangwana rekudzidzira michina yekudzidza?

Iko kukosha kwekudzidza kwemuchina kugona kwesystem yekuenderera mberi uchidzidza kubva kudhata uye kushanduka pasina kupindira kwevanhu. Machine kudzidza kunokwanisa kuita sehuropi hwemunhu. Semuenzaniso, enjini dzekurumbidza pane e-commerce saiti dzinogona kuongorora zvakasarudzika zvemushandisi uye zvavanofarira uye nekupa kurudziro pane zvakafanira zvigadzirwa nemasevhisi aunosarudza kubva. Tichifunga nezve kugona uku, kudzidza kwemuchina kunoonekwa sekwakanakira kugadzirisa mabasa akaomarara anoenderana nedata hombe uye analytics. Yakakunda zvipingamupinyi zvikuru zvechinyakare masisitimu akazvimiririra asingatenderi kupindira kwevanhu nguva dzose. Kune akawanda makesi ezvidzidzo zvinoratidza kugona kwemuchina kudzidza kuita yakaoma data yekuongorora mabasa, ayo anozokurukurwa gare gare mupepa rino.

Sezvatatoona, hombe data analytics chirevo chinonetsa chemabhizinesi, ayo anogona kupihwa chikamu kumichina yekudzidza masisitimu. Kubva pane bhizinesi maonero, izvi zvinogona kuunza mabhenefiti mazhinji senge kusunungura dhata sainzi zviwanikwa zvekuwedzera kugadzira uye mamishinari mabasa akakomba, mizhinji yebasa, shoma nguva yekupedzisa mabasa uye kudhura kushanda.

Nyaya yekudzidza

Muna 2015, vaongorori veMIT vakatanga kushanda pane data resainzi chishandiso chinogona kuumba fungidziro yedhata kubva pamadhora akawandisa uchishandisa dhivhosi inonzi yakadzika ficha synthesis algorithms. Masayendisiti anoti algorithm inogona kusanganisa akanakisa maficha ekudzidza kwemuchina. Sekureva kwemasayendisiti, ivo vaiyedza pamadhata matatu akasiyana uye vari kuwedzera kuyedza kuisa zvimwe. Mune rimwe gwaro raizoburitswa kuInternational Conference on Data Science and Analytics, vaongorori James Max Kanter naKalyan Veeramachaneni vakati, "Tichishandisa nzira yekugadzirisa, tinogadzirisa nzira yese pasina kubatika kwevanhu, tichiibvumira kuti iite kune mamwe maseteti".

Ngatitarisei kuomarara kwebasa racho: iyo algorithm ine izvo zvinozivikanwa sekugona-kugadzirisa kugona, nerubatsiro rwekuti njere kana kukosha kunogona kuwanikwa kana kubviswa kubva kune yakasvibirira data (senge zera kana mukadzi), mushure meizvozvo data rekufungidzira mhando dzinogona kugadzirwa. Iyo algorithm inoshandisa yakaoma masvomhu mashandiro uye ingangoita dzidziso inonzi Gaussian Copula. Saka zviri nyore kunzwisisa iyo nhanho yekunetseka iyo algorithm inogona kubata. Unyanzvi uhu hwakahwina zvakare mibairo mumakwikwi.

Kudzidza kwemuchina kunogona kutsiva basa rechikoro

Zviri kukurukurwa kutenderera pasirese kuti muchina kudzidza kunogona kutsiva mabasa mazhinji nekuti unoita mabasa nehunyanzvi hwehuropi hwemunhu. Muchokwadi, pane kumwe kunetsekana kuti muchina kudzidza kuchitsiva data masayendisiti, uye panoratidzika kunge paine hwaro hwekunetseka kwakadai.

Kune mushandisi wepakati uyo asina hunyanzvi hwekuongorora dhata asi ane madhivhosi akasiyana ezvinodiwa muhupenyu hwavo hwezuva nezuva, hazvigoneke kushandisa makomputa anogona kuongorora huwandu hwakawanda hwe data uye nekupa data rekuongorora. Nekudaro, matekinoroji eRuzivo rweMitauro (NLP) anogona kukunda izvi zvishoma nekudzidzisa makomputa kuti agamuchire nekugadzirisa mutauro wevanhu. Nenzira iyi, wepakati mushandisi haadi akaomeswa ekuongorora mabasa kana hunyanzvi.

IBM inotenda kuti kudiwa kwemasayendisiti e data kunogona kuderedzwa kana kubviswa kuburikidza neyakagadzirwa, iyo Watson Natural Mutauro Ongororo Platform. Sekureva kwaMarc Atschuller, mutevedzeri wemutungamiriri wema analytics uye huchenjeri hwebhizinesi kuWatson, "Uine hurongwa hwekuziva saWatson, unongobvunza mubvunzo wako - kana kana usina mubvunzo, unongoisa data rako Watson anogona kuzvitarisa." uye fungidzira izvo iwe zvaungade kuziva. ”

Mhedziso

Automation idanho rinotevera rine musoro mukudzidza kwemuchina uye isu tave kutotarisana nemhedzisiro muhupenyu hwedu hwezuva nezuva - e-commerce saiti, Facebook shamwari mazano, LinkedIn network mazano uye Airbnb yekutsvaga masosi. Tichifunga nezvemienzaniso yakapihwa, hapana mubvunzo kuti izvi zvinogona kuverengerwa kune mhando yezvakabuda zvinogadzirwa nema automated muchina wekufunda masisitimu. Kune ese ayo hunhu uye mabhenefiti, iyo pfungwa yekudzidza kwemuchina ichikonzera kusakosha kwemabasa inoita senge yekuwedzeredza. Machina anga achitsiva vanhu munzvimbo zhinji dzehupenyu hwedu kwemakumi emakore, asi vanhu vakashanduka uye vakachinjika kuti vagare vakakodzera muindastiri. Zvinoenderana nemaonero, muchina kudzidza kwese kukanganiswa kwawo ingoriwo imwe wave iyo vanhu vanozoenderana nayo.


Post nguva: Aug-03-2021