IkhayaIzindabaI-AI ekukhokheni: ayisagcini nje ngokubona ukukhwabanisa, manje ifunda ukuthi...

I-AI ekukhokheni: ayisagcini nje ngokubona ukukhwabanisa, manje ifunda ukuthi uthenga kanjani ukuze ibone ukuthi bekungewena

Ukukhula kwezinkokhelo zedijithali kuhambisane nokuguqulwa buthule kokukhwabanisa kwezezimali. Lokho okwakuncike kakhulu ekwebiweni kweziqinisekiso noma ekuhlanganisweni kwamakhadi manje kuhlanganisa ubunjiniyela bezenhlalo, ubunikazi bokwenziwa, kanye namathuluzi obuhlakani bokwenziwa akwazi ukwenza ukuhlaselwa kube okukholisayo nokukhuliswayo. Kulesi simo, amabhange, ama-fintech, kanye nezinkampani zibhekene nenselele eyinkimbinkimbi kakhulu: ukuvikela abasebenzisi ngaphandle kokubeka engcupheni isivinini kanye nobulula obuchaza izinkokhelo zedijithali.

Ngokusho kocwaningo olwenziwe yi-Datafolha Institute ngokubambisana ne-Brazilian Forum for Public Security (FBSP), cishe abantu baseBrazil abayizigidi ezingu-24 babe yizisulu zokukhwabanisa kwezezimali okubandakanya i-Pix, amakhadi esikweletu, kanye nama-payment slip phakathi kukaJulayi 2024 noJulayi 2025, okuqoqa ukulahlekelwa okulinganiselwa cishe ku-R$29 billion. Ngaphezu kwalokho, ulwazi oluvela ku-National Strategy to Combat Corruption and Money Laundering (ENCCLA) lubonisa ukuthi abantu baseBrazil abangaphezu kwengxenye sebevele bebhekene nohlobo oluthile lokukhwabanisa kwezezimali.

Isibhengezo sokuphromotha sesofthiwe yokuphatha ukuthengisa ye-Forhold, simema abasebenzisi esivivinyweni samahhala sezinsuku ezingu-30

“Namuhla, kunezindlela ezintathu ezichaza kabusha ukuphathwa kwezingozi emkhakheni wezezimali. Ngakolunye uhlangothi, ukukhwabanisa kukhula ngokushesha futhi kushintshe ngokwemvelo, kuqhutshwa ubunjiniyela bezenhlalo kanye nokusetshenziswa kobuhlakani bokwenziwa obukhiqizayo. Ngakolunye uhlangothi, umthethonqubo udinga izinhlelo zokuqapha zesikhathi sangempela, ezisobala, nezihlolwayo. Futhi ekugcineni, ukuzivikela kuya ngokuya kuncika ekuhlakanipheni kokwenziwa kanye nezindlela zokuqinisekisa eziphansi ezikwazi ukuvikela umsebenzisi ngaphandle kokubeka engcupheni ulwazi lokukhokha,” kusho uRodrigo Rodrigues, i-COO kanye nomsunguli we-Akua, uhlelo lokusebenza lokukhokha olusebenzisa i-AI lwezimakethe ezisafufusa.

Cabanga ngomthengi othenga ikhofi njalo ekuseni, ngesikhathi esifanayo nasesitolo sekhofi esifanayo. Ngokungazelelwe, ngemva kwemizuzu embalwa, kuvela ukuthenga okunenani eliphezulu, okwenziwe kudivayisi ehlukile futhi edolobheni elihlukile. Ngaleso sikhathi, umbuzo obaluleke kakhulu awusekho "yini iphasiwedi?", kodwa "ingabe lokhu kuziphatha kunengqondo kuleli khasimende?". Lona umngcele omusha wokuvimbela ukukhwabanisa: esikhundleni sokuthembela kuphela kumaphasiwedi noma iziqinisekiso, ubuhlakani bokwenziwa bufunda ukuthi umuntu ngamunye uthenga kanjani ukuze abone ukuthi umuntu okhokhayo kungenzeka ukuthi akayena yena.

Impendulo yemboni ikhomba kumamodeli akwazi ukuhumusha ukuziphatha, hhayi nje ukusebenzisa imithetho echazwe kusengaphambili. Imvamisa yokuthenga, amanani ajwayelekile, izikhathi, indawo, amadivayisi asetshenziswayo, kanye nezinhlobo zezikhungo kungenye yezimpawu ezivumela ukwakhiwa kwamaphrofayili engozi yabathengi aguqukayo. Lapho ukuthengiselana kuphambuka kakhulu kule ndlela, izinhlelo zingabona ukungalingani futhi zihlole izinga lengozi ngaphambi kokugunyaza umsebenzi.

Lolu shintsho luphinde luphendule isidingo sezomnotho. Ngaphezu kokulwa nokukhwabanisa, izikhungo zidinga ukunciphisa lokho okubizwa ngokuthi amaphutha, ukuthengiselana okusemthethweni okwenqatshwa ngenxa yengozi esolwayo. Kumabhange, kuma-fintech, kanye nezinkampani, inselele akuyona nje ukuvimba imisebenzi yokukhwabanisa, kodwa ukwenza lokho ngaphandle kokudala ukungezwani okungadingekile noma ukuthinta ukuguqulwa kwezinkokhelo ezisemthethweni.

Kulo mongo, izinkampani ezifana ne-Akua bezilokhu zifaka amamodeli okufunda komshini, ukuqinisekiswa okuhlakaniphile, ukwenziwa kwamathokheni, kanye nezindlela zokuhlaziya zesikhathi sangempela ukuqinisa ukuphathwa kwengozi kulo lonke umjikelezo wokuthengiselana. Umgomo awukona nje ukuthola imisebenzi esolisayo, kodwa ukuqonda kangcono ukuziphatha komsebenzisi nokwenza izinqumo ezinembile, ezisobala, nezihlolwayo.

Ingcindezi ohlelweni lwe-ecosystem kulindeleke ukuthi ikhule eminyakeni ezayo. Ucwaningo lwe-GlobalData lulinganisela ukuthi ukulahlekelwa okuhlobene nokukhwabanisa nge-Pix kungafinyelela cishe ku-R$11 billion ngonyaka ngo-2028, kuyilapho idatha evela ku-Serasa Experian ikhombisa ukuthi, ngo-2025, kwakunemizamo yokukhwabanisa njalo ngemizuzu emibili kwezentengiselwano zaseBrazil.

"Ukulwa nokukhwabanisa kungena esigabeni esisha. Uma iminyaka eminingi into ebaluleke kakhulu bekuwukuvikela iziqinisekiso nedatha, manje inselele iwukuhumusha izimpawu ngesikhathi sangempela nokuhlukanisa ukuthengiselana okusemthethweni nomsebenzi osolisayo ngokungqubuzana okuncane kakhulu. Ukuvimbela kushintsha kusuka emithethweni engaguquki kuya kumamodeli aguquguqukayo kakhulu," kuphetha uRodrigues.

Njengoba izinkokhelo zedijithali ziqhubeka nokukhula futhi abakhwabanisi befaka ubuchwepheshe obusha ukuze bandise futhi bathuthukise ukuhlasela kwabo, ikhono lokulinganisela ukuphepha, ulwazi lomsebenzisi, kanye nokuthembana kuvela njengento ebalulekile yokuncintisana kwamabhange, ama-fintech, kanye namabhizinisi. Kulesi simo, ukuphathwa kwezingozi kuzoyeka ukuba umsebenzi wokuvikela futhi kuzoba yisici esibalulekile sesipiliyoni sezezimali zedijithali.

Isibuyekezo Se-E-Commerce
Isibuyekezo Se-E-Commercehttps://www.ecommerceupdate.com.br/
I-E-Commerce Update iyinkampani ehamba phambili emakethe yaseBrazil, egxile ekukhiqizeni nasekusakazeni okuqukethwe kwekhwalithi ephezulu mayelana nomkhakha we-e-commerce.
IZIHLOKO EZIHLOBENE

Shiya impendulo

Sicela uthayiphe amazwana akho!
Sicela uthayiphe igama lakho lapha

MUVANJE

OKUDUMILE KAKHULU

MUVANJE

OKUDUMILE KAKHULU

MUVANJE

OKUDUMILE KAKHULU