Emashumini eminyaka, i-automation ibimele isiqongo sokusebenza kahle. Ukuzenzakalela kwakusho izinhlelo zokuhlela ukwenza imisebenzi ephindaphindwayo, ukukhulula isikhathi somuntu semisebenzi yamasu amaningi. Nokho, namuhla sibona uguquko olujule nakakhulu: uguquko olusuka emshinini ozenzakalelayo luye ku-orchestration ehlakaniphile . Akuseyona nje mayelana namasistimu akhipha imiyalo, kodwa mayelana nezinhlelo zemvelo eziguquguqukayo lapho ama-ejenti amaningi e-Artificial Intelligence (AI) exhumanisa ngokuzenzakalelayo, efunda, futhi elungiselela izinqubo eziyinkimbinkimbi. Lolu shintsho luchaza kabusha indlela izinhlangano ezisebenza futhi zincintisane ngayo, ikakhulukazi e-Latin America, lapho ukwamukelwa kwalobu buchwepheshe kukhula ngokushesha.
I-Automation ilethe izinzuzo ezibonakalayo ekusebenzeni kahle, ukuphindaphinda, kanye nokuqina kuze kube manje. Futhi lokhu kungaphambi kokuba i-traction izuzwe yilokho okubizwa nge-Agency AI. Ama-ejenti e-AI awawona nje amafa okufaka umuntu: andiza abheke ekuzilawuleni. Ngokungafani namamodeli Olimi Olukhulu (LLMs) aphendula imiyalo noma ukwaziswa, ama-ejenti angenza izinqumo ezizimele ukuze afinyelele izinjongo, ahlanganise ngama-API nezinye izinhlelo, aqondise ukuhamba komsebenzi okuyinkimbinkimbi, axoxisane, abeke phambili imisebenzi, futhi alungise ama-trajectories ngokuya ngolwazi olusha noma izithiyo. Ngamafuphi: I-AI iyayeka ukuba yithuluzi elisebenzayo futhi iba umhlanganyeli okhuthele .
Idatha yakamuva yembula kokubili umdlandla nezinselele zalolu shintsho. E-Brazil, u-62% wezinkampani zaseBrazil sezivele zisebenzisa abenzeli be-AI emisebenzini yazo, ngokocwaningo . Ngaphezu kwalokho, ucwaningo lubonisa ukuthi i-93% yabaphathi be-software sebevele bathuthukisa - noma bahlela ukuthuthukisa - ama-ejenti e-AI angokwezifiso, anezinzuzo ezilindelekile ezifana nokwanda kokukhiqiza, ikhwalithi yekhodi, ukukala kwephrojekthi, nokuhlolwa okuthuthukisiwe.
I-orchestration ye-AI imele ukweqa kwekhwalithi uma kuqhathaniswa namamodeli endabuko. Nakuba i-automation yakudala ilandela imibhalo , i-orchestration ihilela ukuxhumanisa ama-ejenti amaningi e-AI akhethekile ngaphakathi kwesistimu ehlanganisiwe ukuze kuzuzwe ngempumelelo imigomo eyabiwe. I-ejenti ngayinye igxile emsebenzini othize, ohlanganiswe isilawuli esimaphakathi esilawula ukuxhumana, ukuthunyelwa komsebenzi, kanye nokuhlanganiswa kwemiphumela. Le ndlela ivumela izinkampani ukuthi zikhulise ukusebenza kahle futhi zigweme isiphithiphithi sezixazululo ezinqanyuliwe noma ezigqagqene, zidale ukugeleza komsebenzi okuhlakaniphe ngempela nokuguquguqukayo. Ngokombono wekhasimende (i-CX), i-orchestration ehlakaniphile iphinde inikeze ukuthuthuka okubalulekile. EBrazil,
Umbiko - 30 amacala osizo lwamakhasimende asexazululwe yi-AI, nokuqagela okubonisa ukuthi lesi sibalo sizofinyelela ku-50% phakathi neminyaka emibili. Kulinganiselwa futhi ukuthi ukwamukelwa kwama-ejenti e-AI kuzohumusheka endaweni ibe yinzuzo engama-23% ekwanelisekeni kwamakhasimende, ukukhuphuka ngo-20% etholwayo ethengisiwe , kanye nokwehliswa kwezindleko zesevisi ngo-20%. Nokho, naphezu kwamathuba, kunezici eziyingozi eziphawulekayo nezithiyo ezingenakuzitshwa. Ukuthembela kubasebenzeli be-AI abazimele kwehle kusuka ku-43% kuya ku-27% phakathi kwabaholi bezinkampani ngonyaka odlule, ngokusho kocwaningo lwamazwe ngamazwe
Okwenza abenzeli be-AI bahluke yikhono labo lokunquma ngokuzenzakalelayo ukuthi bangafinyelela kanjani izinjongo ezichazwe umsebenzisi. Akumangazi ukuthi abahlaziyi abaningi babheka ukuhamba komsebenzi kwe-ejenti ye-AI njengenye yezindlela ezibaluleke kakhulu kubuchwepheshe bamanje, okungenzeka ilethe inqubekelaphambili eyengeziwe kunesizukulwane esilandelayo samamodeli ayisisekelo. Umehluko oyinhloko ulele ekuzilawuleni: kuyilapho imodeli yolimi enkulu ingase ikhiqize uhlu noma izinhlelo zohambo, i-ejenti ye-AI ingasesha, iqhathanise, ixoxisane, futhi ikhiphe ukubhukha, ifunde ngomongo womsebenzisi ngokuhamba kwesikhathi. Ziyibhuloho eliphakathi kokuzenzakalela nokuzimela, okubangela amanye ama-ejenti noma amasevisi ngama-API ukuze kuxazululwe izinkinga eziyinkimbinkimbi.
Izinkampani eziningi zisantula ingqalasizinda yedatha evuthiwe, zinemephu yendlela yokusebenzisa engacacile, noma zibhekane nokubusa, izimiso zokuziphatha, kanye nezithiyo zokuziphendulela. Ukuze i-orchestration ehlakaniphile ibe yinto engokoqobo, ukutshalwa kwezimali kuyadingeka emikhakheni emithathu ngesikhathi esisodwa: ubuchwepheshe, ikhono lomuntu, kanye nokubusa .
Ngokombono wezobuchwepheshe, ukuhlanganiswa phakathi kwezinhlelo ze-AI, ama-agent azimele, ukusebenzisana ngama-API, izakhiwo eziqinile, nokuqapha okuqhubekayo kubalulekile. Mayelana nethalente labantu, kunesidingo sokuqeqesha ochwepheshe abasha - onjiniyela be-ejenti, abaklami be-AI, onjiniyela abasheshayo - kanye nokuqeqesha kabusha amaqembu akhona. Ebusweni, ukuchaza ngokucacile ukuthi yiziphi izinqumo ezingenziwa ngokuzimele, ukusungula izivikelo zobumfihlo, ukuphepha, ukuncishiswa kokuchema, kanye nokuhlolwa kwesinqumo kubalulekile.
Njengoba uBill Gates ebonile kufanele, amanxusa e-AI azoshintsha kakhulu indlela esisebenzisana ngayo namakhompyutha, enze izinguquko embonini ye-software futhi alethe uguquko olukhulu kakhulu lwekhompuyutha kusukela sasuka ekubhaleni imiyalo saya ngokuthepha izithonjana. Kodwa ukuze lokhu kuguquguquka kuqhubeke futhi kuzuzise, kufanele siqinisekise ukuthuthukiswa okunomthwalo wemfanelo, sibhekane nezindaba zokuziphatha, futhi sikhuthaze ikusasa lapho i-AI inikela khona emhlabeni ongcono, isebenze ngokuhambisana nobuhlakani bomuntu, ingawufaki esikhundleni.
I-orchestration ehlakaniphile ayigcini nje ngokukhulisa okuzenzakalelayo kodwa ichaza kabusha amamodeli okusebenza. Akukona ukuphela kohambo lomuntu emsebenzini, kodwa ukuqala kwenkathi entsha yokubambisana phakathi kwabantu nemishini, lapho ubuchwepheshe bomunye nomunye buthuthukisa omunye. Ngakho-ke, izinhlangano ezamukela i-adaptive AI ecosystems zizokwazi ukuphendula ngokushesha ezinguqukweni zemakethe, zenze okuhlangenwe nakho kube ngokwakho esikalini, zandise izindleko, futhi zikhulule abantu emisebenzini enenani eliphakeme - ubuciko, uzwela, ukwahlulela okunengqondo.
Uguquko oludingekayo ludinga isibindi, ubuholi, kanye nombono wesikhathi eside; kodwa-ke, izimpawu zokuqala zibonisa ukuthi labo abahola le nhlangano bazokwazi ukuvuna inzuzo enkulu yokuncintisana, ikakhulukazi eLatin America, lapho izimakethe eziningi zisezigabeni zokuqala zalolu shintsho.
