I-AI Yezinsizakusebenza Zabantu: Indlela yokwenza izinqubo ngokuzenzakalela ngaphandle kokulahlekelwa ukuthinta komuntu

Ukuphathwa kwezimali zabantu kuqhubeka noshintsho oluphelele. Lokho okwakubonakala njengendaba yesayensi eminyakeni embalwa edlule sekuyinto evamile emahhovisi: ubuhlakani bokwenziwa obusetshenziswa ku-HR akuseyona nje into ethandwayo, kodwa injini yangempela evumela ukwenziwa ngcono kokuhlela ithalente kanye nokuthuthukiswa ngaphandle kokuba umnyango ube umshini obandayo noqhelile.

Icebo langempela alikho ukufaka abantu esikhundleni ngama-algorithms, kodwa ukusebenzisa ubuchwepheshe ukususa umthwalo osindayo wokuphatha . Ngale ndlela, ochwepheshe bangayeka ukulwa namaspredishithi angapheli futhi bagxile kulokho okubaluleke ngempela: isu, ubuholi, kanye nenhlalakahle yabasebenzi, okwenza ukuzenzekela kube yinto ephindaphindayo yamakhono abantu.

I-athikili ehlobene:

Izinhlelo zokusebenza zebhizinisi: izinhlobo, izibonelo, kanye nendlela eziguqula ngayo ibhizinisi lakho

Isho ukuthini ngempela i-AI endaweni yabantu?

Uma sikhuluma nge-AI kulo mkhakha, sibhekisela ohlelweni lwamathuluzi olusukela ekucutshungulweni kolimi lwemvelo kuya ekufundeni komshini. Umgomo walo ukuphatha inani elikhulu ledatha ukuze kuhlinzekwe ngomongo wezinqumo. Akukhona ukuvumela umshini ukuthi unqume ukuthi ubani ongenayo noma ophuma enkampanini, kodwa mayelana nokuba nolwazi oluqinile ukuze ukwahlulela kochwepheshe kube okunembe kakhudlwana futhi okunembe kakhudlwana.

Izindawo lapho ukuzenzakalela kunikeza khona inani langempela

Kunezinqubo lapho imbuyiselo yokutshalwa kwezimali icishe isheshe ngoba isekelwe emithethweni ecacile kanye nemisebenzi ephindaphindwayo. Yilapho i-AI ikhanya khona kakhulu:

• Ukuqashwa Nokukhethwa: Ukusetshenziswa kwe-ATS ehlakaniphile kuvumela ukuhlaziya i-resumengokukhipha idatha ebalulekile kanye namakhono okufanisa nomuntu ofanelekela ukuvulwa komsebenzi. Ngaphezu kwalokho, i-AI isiza ukubhala okuthunyelwe kwemisebenzi okuhehayo kanye nokwenza imiyalezo yokuxhumana ibe ngeyakho ngokusekelwe esiteshini, kungaba yi-LinkedIn noma i-WhatsApp.
• Ukufakwa kanye nokuphathwa kwamadokhumenti: Ukuqasha abasebenzi abasha kungaba yindaba enzima kakhulu. Ukusayina inkontileka ngokuzenzakalelayo, ukulethwa ngesandla, kanye ukwenza ngokwezifiso ukuqeqeshwa kokuqala Kuye ngendima, konga amahora amaningi okusebenza ngezandla.
• Ukuhlaziya Nokugcina Okubikezelayo: Ngokuhlaziya amaphethini okungabikho noma izinguquko ekusebenzeni, kungenzeka thola izimpawu zokuqala zokujikelezaLokhu kuvumela inkampani ukuthi igcine ithalente elibalulekile ngaphambi kokuba isule esikhundleni.
• Ukuhlolwa Kokusebenza: I-AI ingaqapha ama-KPI futhi ibone ukuphambuka noma imithwalo yemisebenzi engalingani. Kodwa-ke, ukuhlolwa kokugcina kufanele kube njalo eqondiswa ngumuntu ukugwema ukwehliswa kwesithunzi senqubo.
• Ukuphatha kanye Nokukhokhelwa: Ukubalwa komholo kuyinkimbinkimbi kodwa kuyabikezelwa. I-AI inciphisa kakhulu amaphutha ekucutshungulweni kwezehlakalo kanye kwenza kube lula umjikelezo wokukhokhakusukela emahoreni okubuyekezwa ngesandla kuya emaminithini ambalwa okuqinisekiswa.

I-athikili ehlobene:

Ukuzenzakalela ngama-ejenti e-AI: ukusetshenziswa, amathuluzi kanye nokuphepha

Amathuluzi nobuchwepheshe obuyinhloko

Ukuze ugweme ukungena ungaboni, kubalulekile ukuhlukanisa ukuthi yibuphi ubuchwepheshe esibudingayo ngokusekelwe enkingeni. I-AI ekhiqizayo ilungele ukudala okuqukethwe, njengezincazelo zomsebenzi noma ama-imeyili empendulo. Ngakolunye uhlangothi, i-Machine Learning iyithuluzi elifanele lezibikezelo ngokusekelwe kudatha yomlando. Uma umgomo uwukuba abasebenzi baxazulule imibuzo mayelana namaholide noma izinzuzo ngaphandle kokuphazamisa ithimba le-HR, ama-chatbot ane-NLP ayisisombululo esiphelele.

Izixazululo ezinamandla zikhona emakethe. Amathuluzi afana ne -Zoho Recruit, i-Greenhouse, kanye ne-Workable enza ngcono ukugeleza kwabantu abazongenela ukhetho, kanti amanye afana ne -Ringover kanye ne-Empower agxila ekuxhumaneni kwesikhathi sangempela kanye nokuqeqeshwa ngesikhathi sezingxoxo. Kulabo abafuna ukuphathwa okuphelele, izinhlelo ezifana ne -SAP SuccessFactors kanye ne-Workday sezivele zihlanganisa ubuhlakani bokwenziwa kumamojula azo e-human capital.

Uhlaka lwezomthetho kanye nokuziphatha: Indlovu ekamelweni

Akukhona konke mayelana nokusebenza kahle; kufanele uqaphele kakhulu umthetho. Umthetho we-AI we-European Union uhlukanisa ukusetshenziswa okuningi kwe-AI ku-HR njengobungozi obukhulu . Lokhu kusho ukuthi noma yiluphi uhlelo lokukhetha noma lokuhlola kumele lube nemibhalo yobuchwepheshe, ukucaca okugcwele kumuntu ozongenela ukhetho, futhi, ngaphezu kwakho konke, ukuqondiswa komuntu okuphoqelekile , kulandela iziqondiso zokusebenzisa amamodeli anomthwalo wemfanelo ngaphakathi kwenhlangano.

Ingozi yokubandlulula nge-algorithmic ingokoqobo. Uma i-AI iqeqeshwe ngedatha ebandlululayo, ingagcina ihlukanisa ngokusekelwe kubulili, uhlanga, noma imvelaphi. Ngakho-ke, kubalulekile ukuhlola izinhlelo nokuqinisekisa ukuthi ubuchwepheshe bukhuthaza ukuhlukahluka nokulingana esikhundleni sokuqhubeka nobandlululo oluphelelwe yisikhathi.

I-athikili ehlobene:

Ziyini izisebenzi ze-AI action futhi zisebenza kanjani ngokoqobo?

Umhlahlandlela wokusetshenziswa ngempumelelo

Iphutha elivame kakhulu ukuthenga isofthiwe ngaphambi kokuqonda inqubo. Ukuze ugweme ukuchitha imali, kungcono ukulandela lezi zinyathelo:

1. Ukumapha kwenqubo: Bhala phansi lokho okwenziwa yithimba nsuku zonke bese uhlukanisa okudinga ukwahlulela komuntu kulokho okulula ukudluliswa kwedatha.
2. Ukuhlanzwa kwedatha: I-AI ayenzi umlingo; uma idatha ihlakazekile kumaspredishithi angahlelekile kahle, umphumela uzoba ojwayelekile. Kuyadingeka hlanganisa imininingwane ohlelweni oluhambisanayo.
3. Iphrojekthi yokuhlolwa: Qala ngecala elincane, elilinganiswayo lokusetshenziswa, njengokuphathwa kokungabikho emsebenzini noma ukuhlolwa kwe-CV kokuqala, ukuqinisekisa umthelela ngaphambi kokufinyelela enkampanini yonke.
4. Ukuhlanganiswa kwezobuchwepheshe: Qinisekisa ukuthi ithuluzi elisha lixhumana ne-ERP kanye nezinhlelo zokukhokha ngokusebenzisa Ama-API asebenzayoukuvimbela ithimba ukuthi lingagxumi phakathi kwamathebhu ayishumi ahlukene.
5. Ukuqeqeshwa kanye noshintsho: Ukulawula ukwesaba ukushintshwa. Ithimba kumele liqonde ukuthi i-AI iyi-co-pilot ebanika isikhathi sokwenza okwengeziwe. umsebenzi wamasu nobudlelwano.

Ibhalansi phakathi kokusebenza kahle kanye nozwela

Ukuzenzakalela akufanele kusho ukwehlisa isithunzi. Kunezikhathi empilweni yokusebenza—njengezingxabano zangaphakathi, ukukhushulwa emsebenzini, noma ukuxoshwa emsebenzini—lapho uzwela nokulalela ngenkuthalo kungenakuthathelwa indawo. Ubuchwepheshe bungasitshela ukuthi kwenzekani ngedatha, kodwa uchwepheshe we-HR kuphela ongaqonda izizathu zalokho futhi aphathe imizwa ngemuva kwedatha.

Iphrofayili entsha yomphathi wabantu kufanele ibe yinhlanganisela: umuntu okwaziyo ukuba yingcweti ku- People Analytics kanye nobuchwepheshe, kodwa ogxila emasikweni enhlangano kanye nokuxhumana nabantu. Isihluthulelo ukudlulisela imisebenzi eyisicefe emshinini ukuze kuthuthukiswe uhlangothi lomuntu lomnyango.

Ukuhlanganisa ubuhlakani bokwenziwa ekuphathweni kwamakhono kuguqula indawo yokuphatha evamile ibe yinjini yamasu ebikezela izidingo futhi ithuthukise ulwazi lwabasebenzi. Ngokuhlanganisa amandla okuhlaziya idatha nokuzwela kokwahlulela kwabantu kanye nokuhambisana ngokuqinile nemithetho yaseYurophu, izinkampani zingenza ngcono izinqubo zazo zokuqasha futhi zithuthukise ukugcinwa kwabasebenzi, ziqinisekise ukuthi ubuchwepheshe buhlala buyindlela yokukhonza abantu, hhayi okuphambene nalokho.

I-athikili ehlobene:

Ukuthunyelwa kwemininingwane eminingi kanye nobuhlakani bokwenziwa: idatha, abezindaba kanye nezinkampani

Isaka

Umbhali oshisekayo ngomhlaba wamabhayithi nobuchwepheshe ngokujwayelekile. Ngiyathanda ukwabelana ngolwazi lwami ngokubhala, futhi yilokho engizokwenza kule bhulogi, ngikubonise zonke izinto ezithakazelisayo kakhulu ngamagajethi, isofthiwe, ihadiwe, izitayela zobuchwepheshe, nokuningi. Inhloso yami ukukusiza ukuthi uzulazule emhlabeni wedijithali ngendlela elula nejabulisayo.