- Umehluko oyisisekelo phakathi kokuhlaziywa kwedatha okulula kanye nokuhlaziywa okuhlakaniphile okusekelwe ku-AI.
- Izingxenye ezibalulekile zokuklama ukwakheka kwedatha yesimanje futhi engandiswa.
- Ukusetshenziswa kobuhlakani bokwenziwa obukhiqizayo ekwenzeni ngcono imisebenzi yokuhlaziya yokuhlola.
- Izindlela zokukhetha indlela yokuhlaziya ngokusekelwe ebunzimeni bedatha kanye namakhono obuchwepheshe ethimba.
Cabanga usebenzela inhlangano engenzi nzuzo futhi unikezwe umsebenzi wokuphatha inhlekelele yemvelo. Kufanele ubhekane nolwazi oluningi oluvela kuzo zonke izinhlangothi: kusukela ezithombeni zesathelayithi kuya kokuthunyelwe ezinkundleni zokuxhumana kanye nemibiko esemthethweni. Inkinga ukuthi konke lokhu kuyakhathaza futhi akuhlelekile , futhi udinga izimpendulo ngokushesha ukuze usindise izimpilo futhi usabalalise usizo lapho ludingeka khona kakhulu.
Yilapho ukuhlaziywa kwedatha yesimanje kungena khona. Ngenxa ye -AI ekhiqizayo , lokho okwakuthatha izinsuku zomsebenzi wezandla manje sekungenziwa ngokuzenzakalela ngendaba yamahora ambalwa. Akukhona nje ukucubungula izinombolo, kodwa mayelana nokukhipha ukuqonda okusebenzayo nokudala imiboniso evumela ukwenza izinqumo ngokushesha. Ngale ndlela, ukuhlaziywa kwedatha yesimanje kuhlose ukusisiza sisebenze ngokuhlakanipha , hhayi nje ngokuzikhandla, ngokwenza ngcono yonke imisebenzi.
Ukuvela: Kusukela Ekuhlaziyeni Okulula Kuya Ekuhlaziyeni Okuhlakaniphile
Emisebenzini yansuku zonke yanoma iyiphi inkampani, ukukhiqiza idatha kuyinto elula, kodwa ukuyiguqula ibe yinto ewusizo yilapho inselele yangempela ikhona khona. Ukuze kube lula lokhu, singahlukanisa uhlelo lwe-ecosystem lube amagatsha amabili amakhulu: i-Simple Data Analytics (SDA) kanye ne-Intelligent Data Analytics (IDA).
Ukuhlaziywa Kwedatha Okulula empeleni kuyisisekelo sayo yonke into. Kuncike ezibalweni eziyisisekelo , njengezilinganiso namaphesenti, futhi kusebenzisa amashadi ebha noma omugqa ukuhlonza ngokushesha izitayela. Kuyindlela enhle ngoba kufinyeleleka kalula futhi kuyathengeka , okuvumela noma ubani, ngisho nalabo abangenalo ulwazi lwedatha, ukuthi baqonde kalula okwenzekayo ebhizinisini.
Kodwa-ke, i-SDA inomkhawulo ophansi kakhulu. Njengoba iwumbono ongaphandle, ayikwazi ukuchaza izizathu zezinto. Isibonelo, ingakutshela ukuthi ukuthengisa kwehlile, kodwa ayikwazi ukukutshela imbangela noma ukubikezela okuzokwenzeka ngenyanga ezayo, okungashiya inkampani isesimweni sokuncintisana esibuthakathaka uma kuqhathaniswa nalabo abasebenzisa amathuluzi okuhlaziya idatha athuthukile.
Ngakolunye uhlangothi, i-Intelligent Data Analytics (IDA) ikwelinye iqembu. Yilapho ukufunda komshini kanye ne-AI kungena khona ukuhlaziya amasethi edatha ayinkimbinkimbi ngesikhathi sangempela. I-IDA ayibheki nje okwedlule; ibona ukuxhumana okufihliwe futhi yenza ngokuzenzakalelayo ukwenza izinqumo, okuvumela inkampani ukuthi ithathe isinyathelo kunokuba iphendule.
- Ukucebisa idatha: Hlanganisa imithombo eyahlukahlukene ukuze uthole umbono ongu-360º.
- Ukuhlaziywa okungahlelekile: Ikhono lokufunda imibhalo, izithombe kanye nezinkundla zokuxhumana.
- Izifinyezo ezizenzakalelayo: Ihlanganisa izintaba zolwazi zibe amaphuzu abalulekile.
- Umthamo wokuqagela: Ibikezela izitayela zesikhathi esizayo isebenzisa ama-algorithms athuthukile.
Vele, i-IDA ayiyona imilingo futhi inezinkinga zayo. Idinga ukuqasha ochwepheshe besayensi yedatha , okungakhuphula kakhulu izindleko zokusebenza. Ngaphezu kwalokho, kunengozi yokuthi amamodeli azoba yinkimbinkimbi kangangokuthi kunzima ukuthi iqembu lonke liwachaze , futhi uma idatha yokufaka ichemile, iziphetho zizoba namaphutha.
Indlela yokukhetha indlela efanele ngokwenhlangano yakho
Akudingeki ngaso sonke isikhathi ukuthi wakhe uhlelo lwe-AI oluyinkimbinkimbi kakhulu. Ukukhetha kuncike ekuhlanganisweni kobunzima bedatha kanye nobuchwepheshe onabo ngaphakathi. Uma idatha yakho iyinkimbinkimbi ngokulingene futhi untula ochwepheshe, ukuhlaziya okulula kwanele ukuqala ukwakha amakhono ayisisekelo.
Kodwa uma ubhekene nobunzima obukhulu futhi unethimba lososayensi bedatha, isinyathelo esinengqondo ukuthuthela ku-IDA ukuze usebenzise amandla ayo obuchwepheshe aphelele futhi uxazulule izinkinga eziyinkimbinkimbi. Ezimweni lapho ubunzima buphezulu kakhulu kodwa abasebenzi abafanelekayo bengatholakali, indlela engcono kakhulu yokwenza iwukuphendukela kochwepheshe bangaphandle abasebenzisa izixazululo ezenziwe ngokwezifiso futhi baqondise amaphrojekthi e-AI.
Izinsika Zokwakhiwa Kwedatha Yesimanje
Ukuze ukuhlaziya kusebenze, ingqalasizinda kumele ibe namandla. Ukwakhiwa kwesimanje akusikho nje ukuthenga ithuluzi lakamuva; kumayelana nokucabanga kabusha ngendlela ulwazi olugeleza ngayo ukuze lukhonze kokubili izinhlelo kanye nabantu. Kumelwe lusebenze njengezicubu ezixhumanisayo zebhizinisi , lilinganise ukusungula izinto ezintsha nobuqotho bedatha.
Ukuze kusungulwe uhlelo olunjalo, izingxenye eziningana ezibalulekile zibalulekile: okokuqala, isu lokuphatha elicacile ukuqinisekisa ukuphepha kwedatha kanye nekhwalithi. Okwesibili, yonke imithombo, yangaphakathi neyangaphandle, kumele ikhonjwe, futhi izinqubo zokuhlanganisa eziqinile ziqaliswe kusetshenziswa amasu e-ETL (Extract, Transform, Load) noma e-ELT.
Isitoreji sibalulekile futhi, ngokukhetha phakathi kwamathuluzi okugcina idatha noma ichibi ledatha kuye ngokuthi kulula kangakanani ukukhulisa idatha kanye nezindleko. Lokhu kuhambisana nokucubungula kusetshenziswa izinhlaka ezifana ne-Apache Spark noma i-Hadoop, kanye nokuphathwa ngokucophelela kwe -metadata kanye nohlu lwedatha ukuze wazi kahle ukuthi inombolo ngayinye ivelaphi.
Ukuze uqedele umjikelezo, kubalulekile ukusebenzisa izinyathelo zokuphepha eziqinile , njengokubethela kanye nokulawula ukufinyelela, nokuqinisekisa ukuthi ukwakheka kungakhula ngokuvundlile njengoba ivolumu yedatha ikhula. Asikwazi futhi ukukhohlwa amakhono okucubungula ngesikhathi sangempela ngamathuluzi afana ne-Apache Kafka, kanye nomjikelezo wokuqapha oqhubekayo ukuze kulungiswe uhlelo ukuze luvumelane nezidingo zemakethe ezishintshayo.
Ukuhlanganisa i-AI ekhiqizayo kulo lonke inqubo kuguqula ukuhlaziywa kwedatha yokuhlola (i-EDA) kusuka emsebenzini oyisicefe nophindaphindayo. Ngokuzenzakalela ukukhiqizwa kwezibalo ezichazayo kanye nokuhlanza idatha, ochwepheshe bangagxila ekuhloleni imiphumela ngokujulile kanye nokusebenzisa amasu asekelwe ezimweni zangempela ukuze kutholakale umthelela webhizinisi ngokushesha.
Ukuba nohlelo lwedatha oluklanywe kahle, oluhlanganisa ubulula bokuhlaziywa kwendabuko namandla obuhlakani bokwenziwa kanye nengqalasizinda engandiswa, kuvumela noma iyiphi inhlangano ukuthi idlulele ngale kokuphatha ulwazi nje kuphela futhi iqale ukusebenzisa idatha njengenjini eyinhloko yokuthuthuka kwayo kanye nokukhula kwayo ngamasu.
