- 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.
Ake sithi usebenzela inhlangano engenzi nzuzo futhi unomsebenzi 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 inkulu futhi ayinasakhiwoFuthi udinga izimpendulo njengamanje ukuze usindise izimpilo futhi ulethe usizo lapho ludingeka khona kakhulu.
Yilapho ukuhlaziywa kwedatha yesimanje kusebenza khona. Ngenxa ye- I-AI ekhiqizayoLokho okwakuthatha izinsuku zomsebenzi wezandla manje sekungenziwa ngokuzenzakalela ngendaba yamahora ambalwa. Akukhona nje ukucubungula izinombolo, kodwa mayelana nokukhipha ukuqonda okusebenzayo nokudala imibono evumela ukwenza izinqumo ngokushesha. Ngale ndlela, ukuhlaziya kwanamuhla kuhlose ukusenza sisebenze ngokuhlakanipha futhi hhayi nje kuphela okunzima, kodwa nokwenza ngcono yonke indlela yokusebenza.
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 ngokuyisisekelo kuyisisekelo sayo yonke into. Kuncike ku izibalo eziyisisekelonjengezilinganiso noma amaphesenti, futhi isebenzisa amashadi ebha noma omugqa ukuze ibone ngokushesha izitayela. Kuyindlela enhle ngoba kufinyeleleka kalula futhi kuyabizaukuvumela noma ubani, noma ngabe akayena uchwepheshe wedatha, ukuthi aqonde ukuthi kwenzekani ebhizinisini ngaphandle kwezinkinga.
Kodwa-ke, i-SDA inophahla oluphansi kakhulu. Njengoba iwumbono ongaphandle, Akakwazi ukuchaza ukuthi kungani ngezinto. Isibonelo, ingakutshela ukuthi ukuthengisa kwehlile, kodwa ayikwazi ukukutshela imbangela noma ukubikezela ukuthi kuzokwenzekani ngenyanga ezayo, okungashiya inkampani isesimweni esibi. isikhundla sokuncintisana esibuthakathaka ngokumelene nalabo abasebenzisa amathuluzi okuhlaziya idatha ethuthuke kakhulu.
Ngakolunye uhlangothi, i-Intelligent Data Analytics (IDA) ikwelinye iqembu. Yilapho-ke ukufunda komshini kanye ne-AI ukuhlaziya amasethi edatha ayinkimbinkimbi ngesikhathi sangempela. I-IDA ayibheki nje kuphela esikhathini esidlule, kodwa futhi ikhomba ukuhlobana okufihliwe futhi izenzakalela ukwenza izinqumo, okuvumela inkampani ukuthi ithathe isinyathelo kuqala 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.
Yiqiniso, i-IDA ayiyona imilingo futhi inezinkinga zayo. Idinga ukuqashwa ochwepheshe besayensi yedathaLokhu kungakhuphula kakhulu izindleko zokusebenza. Ngaphezu kwalokho, kunengozi yokuthi amamodeli angase abe yinkimbinkimbi kangangokuthi angasakwazi ukuthwala umthwalo. kunzima ukulichaza kweqembu lonke, futhi uma idatha yokufaka ichemile, iziphetho ziyoba yiphutha.
Indlela yokukhetha indlela efanele ngokwenhlangano yakho
Akudingeki ngaso sonke isikhathi ukwakha uhlelo lwe-AI oluyinkimbinkimbi kakhulu. Ukukhetha kuncike ku- ingxube yobunzima bedatha kanye nethalente lobuchwepheshe onalo ngaphakathi. Uma idatha yakho iyinkimbinkimbi futhi ungenabo ochwepheshe, ukuhlaziya okulula kwanele ukuqala. ukwakha amakhono ayisisekelo.
Kodwa uma ubhekene nobunzima obukhulu futhi unethimba lososayensi bedatha, into enengqondo okufanele uyenze ukugxumela kwi-IDA ukuze sebenzisa amandla aphelele ubuchwepheshe kanye nokuxazulula izinkinga eziyinkimbinkimbi. Ezimweni lapho ubunzima busezingeni eliphezulu kodwa kungekho basebenzi abafanelekayo, isinyathelo esingcono kakhulu ukusebenzisa izeluleko zangaphandle ezisebenzisa izixazululo ezenziwe ngokwezifiso futhi ziqondise amaphrojekthi e-AI.
Izinsika Zokwakhiwa Kwedatha Yesimanje
Ukuze ukuhlaziya kusebenze, ingqalasizinda kumele ibe namandla. Ukwakhiwa kwesimanje akukona nje ukuthenga ithuluzi lakamuva, kodwa kumayelana nokucabanga kabusha indlela ulwazi olugeleza ngayo ukuze ikhonze kokubili izinhlelo kanye nabantu. Kumelwe isebenze njenge- izicubu ezixhumeneyo zenkampaniUkulinganisela ukusungula izinto ezintsha nobuqotho bedatha.
Ukuze kuhlanganiswe uhlelo olunjalo, kunezinto eziningana ezibalulekile ezingenakuphuthelwa: okokuqala, i- isu lokubusa Izinqubo ezicacile zokuqoqwa kwedatha zibalulekile ukuqinisekisa ukuphepha kanye nekhwalithi yedatha. Okulandelayo, yonke imithombo, yangaphakathi neyangaphandle, kumele ikhonjwe futhi izinqubo zisetshenziswe... ukuhlanganiswa okuqinile kusetshenziswa amasu e-ETL (Extract, Transform, Load) noma e-ELT.
Indawo yokugcina izinto nayo ibalulekile, ukukhetha phakathi amathuluzi okugcina idatha noma amachibi edatha kuye ngokuthi ingakanani idatha ekwazi ukwandiswa kanye nezindleko. Lokhu kuhambisana nokucubungula kusetshenziswa izinhlaka ezifana ne-Apache Spark noma i-Hadoop, kanye nokuphathwa ngokucophelela kwe- imethadatha kanye nohlu lwedatha ukwazi kahle ukuthi isibalo ngasinye sivelaphi.
Ukuze kuqedwe i-loop, kubalulekile ukusebenzisa izinyathelo zokuthi ukuphepha okuqinile, njengokubethela kanye nezilawuli zokufinyelela, kanye nokuqinisekisa ukuthi ukwakheka kuyakwazi sikala ngokuvundlile njengoba inani lolwazi likhula. Asikwazi ukukhohlwa ikhono lokwenza kanjalo. ukucubungula ngesikhathi sangempela ngamathuluzi afana ne-Apache Kafka, kanye nomjikelezo wokuqapha oqhubekayo wokulungisa uhlelo ukuze luhambisane nezidingo ezintsha zemakethe.
Ukuhlanganisa i-AI ekhiqizayo kulo lonke inqubo kuvumela ukuhlaziywa kwedatha yokuhlola (i-EDA) ukuthi kuyeke ukuba umsebenzi okhathazayo nophindaphindayo. Ngokuzenzakalela ukukhiqizwa kwezibalo ezichazayo kanye nokuhlanza idatha, ochwepheshe bangagxila ku ukuhlolwa okubucayi kwemiphumela kanye nasekusetshenzisweni kwamasu asekelwe ezimweni zangempela ukuze kutholakale umthelela osheshayo ebhizinisini.
Ukuba nesistimu yedatha eklanywe kahle ehlanganisa ubulula bokuhlaziya kwendabuko namandla obuhlakani bokwenziwa kanye nengqalasizinda engandiswa kuvumela noma iyiphi inhlangano ukuthi idlule nje ekuphatheni ulwazi bese iqala... sebenzisa idatha njengenjini okuyinhloko ekuthuthukisweni kwayo kanye nokukhula kwayo ngamasu.
