Esimweni sezomnotho sanamuhla, lapho ukuguquguquka kukuphela kwento eqhubekayo, amathuluzi ezezimali endabuko ayasilela. Ukubheka nje esibukweni esingemuva ukuze uqonde okwenzekile kwikota edlule akusanele; manje, umdlalo umayelana nokulindela ukunyakaza kwemakethe ngokunemba okucishe kufane nokuhlinzwa ukuze ugweme ukushiywa ngemuva.
Yilapho ubuhlakani bokwenziwa kanye nokuhlaziywa kokubikezela kuqala khona, njengoba sekudlulele ngale kwemibono yesayensi ukuze kube yinjini yesu yezezimali zanamuhla . Akukhona nje ukusebenzisa isofthiwe esheshayo, kodwa mayelana nokushintsha indlela yokucabanga: ukushintsha kusuka ekuphathweni okuqinile, kokuphatha kuya ekhonweni lokwakha izimo zesikhathi esizayo, okuvumela ukwenziwa ngcono kwesenti ngalinye elitshaliwe.
Kusukela ekubikezeleni okungaguquki kuya ekuguqukeni okuguquguqukayo
Ngokwesiko, amaqembu ezezimali ayethembele kudatha yomlando kanye nokuqagela okuhleliwe kumaspredishithi ayesephelelwe yisikhathi ngesikhathi evezwa. I-AI iphula lo mjikelezo ngokuvumela ukuqagela ukuthi kuguquke ngesikhathi sangempela njengoba idatha entsha ingena, iguqula inqubo eyenzeka kanye ibe ukugeleza kolwazi okuqhubekayo.
I-AI Ekhiqizayo ithatha lesi sinyathelo esiqhubekayo, njengoba ingagcini nje ngokulungisa izinombolo kodwa futhi ikwazi ukwenza izincomo eziqondile . Uma, isibonelo, ukuthengisa kwehla endaweni ethile, uhlelo lungasikisela ngokuzenzakalelayo ukwaba kabusha isabelomali sokumaketha noma ukwandisa isitoko ezindaweni ezisebenza kahle, okuguqule ukubikezela kube ithuluzi lesenzo esisheshayo.
Isikhathi esisha ekuphathweni kwezingozi kanye namathuba
Ikhono lokubona izinto ezingavamile ezingabonakali kunoma yimuphi umuntu lingenye yamandla amakhulu e-AI. Ngokuhlaziya izinto ezihlukahlukene njengokuziphatha kokukhokha kwamakhasimende , ukungezwani kwezepolitiki, noma ukusebenza kwe-supply chain, ama-CFO angalindela izinkinga zokuntuleka kwemali noma izingozi zesikweletu emasontweni ambalwa kusengaphambili.
Kodwa akukhona nje ukugwema izinhlekelele; i-AI iphinde ibe umshini wokuthola inani lapho abanye bengaboni lutho. Ngokuhlaziya idatha ngezinga elikhulu, kungenzeka ukuhlonza izitayela zezifunda ezincane kanye nokuguquguquka kwamanani , okuvumela ukusetshenziswa kwamasu entengo aguquguqukayo ukuze kwandiswe inzuzo ngokusekelwe esidingweni esilindelwe.
Ubuchwepheshe obusekela ukumodelwa kwezezimali kwesimanje
Ukuze siqonde ukuthi lokhu kusebenza kanjani, sidinga ukubheka ngaphansi kwe-hood. Ngokungafani nokumodela okusekelwe emithethweni engaguquki, i-AI incike kubuchwepheshe obuhlukahlukene:
- I-AI ye-ejenti: Izinhlelo ezizimele ezingagcini nje ngokubikezela, kodwa futhi ezisebenzisa imisebenzi ephelele, njengokukhipha idatha yokuthengisa nokubuyekeza amadeshibhodi ngaphandle kokungenelela komuntu.
- Ukufunda ngomshini (ML): Ama-algorithms okubuyela emuva, amahlathi angahleliwe, kanye namanethiwekhi e-neural ahlelwa kabusha njalo ukuze ukuthuthukisa ukunemba kwezibikezelo.
- I-AI Engachazwa (XAI): Kubalulekile kwezezimali, njengoba kukuvumela ukuthi uvule "ibhokisi elimnyama" futhi uqonde kahle ukuthi yiziphi iziguquguquko ezithonye isibikezelo, okwenza kube lula ukuhlola kanye nokuzethemba.
- Ukucubungula Ulimi Lwemvelo (NLP): Ikhono lokukhipha imizwa nezingozi ezifihliwe okuvela emithonjeni engahlelekile, njengezindaba zezimali noma imibhalo yezingcingo zemiphumela.
Indlela eya ekusetshenzisweni ngempumelelo
Ukuletha i-AI ezimalini akudingeki kube yindaba ebuhlungu uma ulandela umhlahlandlela ocacile. Konke kuqala ngokuhlanganisa nokuhlanza idatha , njengoba imodeli enikezwe ulwazi oluyiphutha izoveza imiphumela emincane. Uma idatha isihlanziwe, kukhethwa imodeli efanele (uchungechunge lwesikhathi, amanethiwekhi emizwa, njll.), bese iqeqeshwa futhi iqinisekiswe.
Kubalulekile ukuhlanganisa la mathuluzi ezinhlelweni ezikhona, njenge-ERP, bese usungula umjikelezo wokuqapha oqhubekayo . Awukwazi ukufaka nje i-AI bese ukhohlwa ngakho; amamodeli adinga ukuqeqeshwa kabusha njalo ukuze azivumelanise nezinguquko zebhizinisi elisha futhi agweme ukufaka ngokweqile.
Ama-algorithms ayisihluthulelo kanye nezicelo zawo ezisebenzayo
Kuye ngenhloso, kusetshenziswa "ubuchopho" obuhlukene bezibalo. Izihlahla zezinqumo namahlathi angahleliwe zinhle kakhulu ekuhlukaniseni izingozi, kuyilapho ukuhlehla okuqondile nokwe-logistic kusiza ukulingisa ubudlelwano phakathi kweziguquguquko. Ngedatha elandelanayo neyesizini, amamodeli e-ARIMA namanethiwekhi e-LSTM ayagqama, njengoba egxile ekubikezeleni izitayela ezisekelwe esikhathini .
Lawa mathuluzi asetshenziswa nsuku zonke ukuthola ukukhwabanisa , ukwenza ngcono izimali (ukuthuthukisa ukunemba kokuhamba kwemali kufikela ku-40%) kanye nokuphathwa kwesidingo , okuvumela izinkampani ukuthi zilungise ukukhiqizwa kwazo ngaphambi kokuba ikhasimende lazi nokuthi liyawudinga umkhiqizo.
Izinselele, imithethonqubo kanye nekusasa lomkhakha
Akulula konke; kunezithiyo ezifana nokumelana kwangaphakathi noshintsho kanye nobunzima bokuhlanganisa izinhlelo ezindala. Ngaphezu kwalokho, uhlaka lwezomthetho seluqine kakhulu nge- EU AI Act , edinga ukuphathwa kwedatha okuqinile kanye nokucaca okugcwele kuma-algorithms ukuvimbela lokho okubizwa ngokuthi "i-Shadow AI" noma ukusetshenziswa okungalawulwa kwamathuluzi obuhlakani bokwenziwa.
Uma sibheka phambili, lo mkhuba ubheke ekuhlanganisweni ne- edge computing , ukucubungula ulwazi ngqo kumadivayisi ukuze kuncishiswe ukubambezeleka nokuthuthukisa ubumfihlo. Umgomo omkhulu ukushintsha kusuka "kubaphili be-copilot" abalula kuya ezinhlelweni zama-ejenti amaningi ezikwazi ukuphatha ukuzimela kokusebenza kwenkampani.
Ukwamukela la makhono okuhlaziya kuvumela ochwepheshe bezezimali ukuthi badlulele ngale kokurekhoda idatha futhi babe ngabalingani bebhizinisi abanamasu . Ngokwazi ukwakheka kwedatha nokufunda komshini, izinhlangano azigcini nje ngokuqinisa ukuzinza kwazo ngokumelene nokungaqiniseki kodwa futhi zithola amandla okushintsha idatha eluhlaza ibe yinzuzo yokuncintisana esimeme futhi enenzuzo.
