Ukuthuthuka kobuchwepheshe bokuncoma obusekelwe ku-AI kuguqule uhambo lomthengi, kwaqinisa isibalo somthengi oqhutshwa yi-algorithm—umuntu ozinqumo zakhe zokunaka, izinto azithandayo, nezinqumo zokuthenga zakhelwe yizinhlelo ezikwazi ukufunda amaphethini kanye nokulindela izifiso ngisho nangaphambi kokuba zikhulunywe. Lokhu kuguquguquka, okwake kwabonakala kukhawulelwe kumapulatifomu amakhulu edijithali, manje sekungene cishe kuyo yonke imikhakha: kusukela ekuthengiseni kuye kwamasiko, kusukela ezinsizeni zezezimali kuye kwezokuzijabulisa, kusukela ekuhambeni kuya kokuhlangenwe nakho komuntu siqu okuchaza ukuphila kwansuku zonke. Ukuqonda ukuthi le nqubo isebenza kanjani kubalulekile ekuqondeni imithelela yesimilo, yokuziphatha, nezomnotho evela kulo mbuso omusha wethonya elingabonakali.
Isincomo se-algorithmic sakhelwe phezu kwesakhiwo esihlanganisa idatha yokuziphatha, amamodeli aqagelayo, namasistimu wezinga akwazi ukuhlonza amaphethini amancane okuthakaselayo. Ukuchofoza ngakunye, ukuswayipha isikrini, isikhathi esichithwa ekhasini, ukusesha, ukuthenga kwangaphambilini, noma ukusebenzisana okuncane kucutshungulwa njengengxenye ye-mosaic ebuyekezwa ngokuqhubekayo. Le-mosaic ichaza iphrofayili yomthengi enamandla. Ngokungafani nocwaningo lwemakethe oluvamile, ama-algorithms asebenza ngesikhathi sangempela nangesilinganiso okungekho muntu ongahambisana naso, elingisa izimo zokubikezela amathuba okuthenga nokunikeza iziphakamiso eziqondene nawe ngesikhathi esifanele kakhulu. Umphumela uwukuzizwisa okubushelelezi futhi okubonakala kungokwemvelo, lapho umsebenzisi ezwa sengathi uthole khona lokho abekade ekufuna, kuyilapho empeleni eholwa lapho uchungechunge lwezinqumo zezibalo ezenziwe ngaphandle kolwazi lwakhe.
Le nqubo ichaza kabusha umcabango wokuthola, ingena esikhundleni sokusesha okusebenzayo ngomqondo wokulethwa okuzenzakalelayo onciphisa ukuchayeka kuzinketho ezihlukahlukene. Esikhundleni sokuhlola ikhathalogi ebanzi, umthengi ngokuqhubekayo uncishiselwa phansi ekukhetheni okuthile okuqinisa imikhuba yakhe, abakuthandayo, kanye nemikhawulo, okwenza iluphu yempendulo. Isithembiso sokwenza kube ngokwakho, nakuba sisebenza kahle, singakhawulela imibhalo futhi sikhawulele ubuningi bezinketho, kubangele imikhiqizo engadumile kakhulu noma lawo maphethini okuqagela angaphandle ukuthi athole ukubonakala okuncane. Ngalo mqondo, izincomo ze-AI zisiza ekulolongeni lezi zinqumo, zidale uhlobo lomnotho ongabikezelwa. Isinqumo sokuthenga siyayeka ukuba umphumela okhethekile wesifiso esizenzakalelayo futhi siqala ukubonisa lokho i-algorithm ekucabangele ukuthi kungenzeka, kulunge, noma kunenzuzo.
Ngesikhathi esifanayo, lesi simo sivula amathuba amasha emikhiqizo nabathengisi, abathola ku-AI ibhuloho eliqondile kubathengi abahlakazekile nabagcwele ugqozi. Ngokukhula kwezindleko zemidiya yendabuko kanye nokwehla kokuphumelela kwezikhangiso ezijwayelekile, ikhono lokuletha imilayezo ehambisana ne-hyper-contextualized liba inzuzo ebalulekile yokuncintisana.
Ama-algorithms avumela ukulungiswa kwentengo kwesikhathi sangempela, ukubikezela kwesidingo okunembe kakhudlwana, ukuncishiswa kwemfucuza, nokudala ukuzizwisa komuntu siqu okukhuphula izinga lokuguqulwa. Kodwa-ke, lokhu kuyinkimbinkimbi kuletha inselele yezimiso zokuziphatha: kungakanani ukuzimela kwabathengi okuhlala kuqinile lapho ukukhetha kwabo kuqondiswa amamodeli azi ubuthakathaka babo bomzwelo nokuziphatha kangcono kunabo ngokwabo? Ingxoxo emayelana nokubeka izinto obala, ukuchazeleka, kanye nesibopho senkampani iya ngokushuba, ifuna izinqubo ezicacile zokuthi idatha iqoqwa, isetshenziswe kanjani futhi iguqulelwe kanjani izincomo.
Umthelela ongokwengqondo walokhu kuguquguquka nawo udinga ukunakwa. Ngokunciphisa ukungqubuzana ekuthengeni nasekukhuthazeni izinqumo ezisheshayo, amasistimu wokuncoma akhulisa imizwa futhi anciphise ukucabanga. Umuzwa wokuthi yonke into ifinyeleleka ngokuchofoza udala ubudlelwano obucishe bube ngokuzenzakalela nokusetshenziswa, kufinyeze indlela phakathi kwesifiso nesenzo. Kuyindawo lapho umthengi azithola ebhekene nokungapheli futhi, ngesikhathi esifanayo, umbukiso ohlungiwe ngokucophelela obonakala uzenzakalela kodwa ohlelwe kakhulu. Umngcele ophakathi kokutholwa kwangempela kanye nokungeniswa kwe-algorithmic uba lufifi, okulungisa kabusha umbono yenani: ingabe sithenga ngoba sifuna, noma ngoba siholelwe ekufuneni?
Kulo mongo, ingxoxo mayelana nokuchema okugxiliswe ezincomweni nayo iyakhula. Amasistimu aqeqeshwe ngedatha yomlando avame ukukhiqiza kabusha ukungalingani osekuvele kukhona, athande amaphrofayili athile omthengi futhi abeke eceleni abanye. Imikhiqizo ye-Niche, abadali abazimele, namabhrendi abasafufusa ngokuvamile babhekana nezithiyo ezingabonakali ukuze bathole ukubonakala, kuyilapho abadlali abakhulu bezuza emandleni evolumu yabo yedatha. Isithembiso semakethe yentando yeningi kakhudlwana, eqhutshwa ubuchwepheshe, singahlehliswa ekusebenzeni, kuhlanganiswe ukugxila kokunaka kumapulatifomu ambalwa.
Umthengi owenziwe nge-algorithmically, ngakho-ke, akayena kuphela umsebenzisi ohlinzekwa kangcono, kodwa futhi isihloko esivezwe kakhulu kumandla aguquguqukayo akha i-ecosystem yedijithali. Ukuzimela kwabo kuhambisana nochungechunge lwamathonya acashile asebenza ngaphansi kokuhlangenwe nakho. Isibopho sezinkampani, kulesi simo, silele ekuthuthukiseni amasu ahlanganisa ukusebenza kahle kwezohwebo nezinqubo zokuziphatha, ukubeka phambili ukubeka izinto obala kanye nokulinganisa ukwenza kube ngokwakho ngemibono eyahlukene. Ngaso leso sikhathi, imfundo yedijithali iba semqoka kubantu ukuze baqonde ukuthi izinqumo ezibonakala zizenzekela zingalolongwa kanjani izinhlelo ezingabonakali.
U-Thiago Hortolan uyi-CEO ye-Tech Rocket, i-Sales Rocket spin-off ezinikele ekudaleni izixazululo ze-Revenue Tech, ehlanganisa i-Artificial Intelligence, i-automation, ne-data intelligence ukukala lonke uhambo lokuthengisa ukusuka ekufuneni kuye ekuthembekeni kwamakhasimende. Abenzeli babo be-AI, amamodeli abikezelayo, nokuhlanganiswa okuzenzakalelayo kuguqula imisebenzi yokuthengisa ibe injini yokukhula okuqhubekayo, okuhlakaniphile nokulinganisekayo.
