I-automation ingaguqula kanjani ukuqala kwakho

Ukuhlanganiswa kobuhlakani bokufakelwa kanye nokufunda komshini kushintsha ngokuyisisekelo sokuthi imiqala kanjani:

• Phatha Izinsizakusebenza
• Khipha ukuhamba komsebenzi
• Ukusebenza Kwezilinganiso

Ngalesi shift, amandla okusebenzisa izinqubo eziyinkimbinkimbi usuka ekuzuzeni inzuzo kwisidingo sesisekelo sokukhula okuzinzile.

Osomabhizinisi abamukela lezi zingcweti zokuzenzakalelayo kusenesikhathi bazohlomela kangcono:

• Ukusebenza kokulinganisa ngaphandle kokuqasha okukhulu
• Susa amaphutha abuntu abizayo
• Khulisa ukukhiqiza kweqembu ngemisebenzi eyisisekelo

Kule bhulogi, sizokuhamba ngamathuba ambalwa we-automation ai ne-mL ukuletha ukuqala, ukunika amandla abasunguli ukuthi:

• Ukuhambisa amandla
• Yehlisa izindleko
• Abasunguli banika amandla ukugxila ekukhuleni kwamasu

Masingene ngaphakathi

Ukukhuphuka kwe-automation ye-ai ekuqaleni futhi kungani kubalulekile

I-AI automation iba yingxenye ebalulekile ye-ecosystem yokuqalisa njengoba izinkampani zifuna izindlela zokusebenza ngobuchule ngezinsizakusebenza ezimbalwa.

Esikhundleni sokuncika kwezinqubo zezandla noma amasistimu asuselwa kumthetho, ai wethula amathuluzi angakwazi

• Qonda imininingwane
• Shintsha ezimweni ezintsha
• Yenza izinqumo ngokuzibandakanya okuncane komuntu.

I-AI Technologies namuhla iyakwazi:

• Hlaziya imininingwane ngokushesha futhi ukhombe amaphethini anengqondo
• Qondisisa okokufaka okubhaliwe noma okukhulunywayo
• Thatha izenzo ngokuya ngedatha yesikhathi sangempela
• Thuthukisa ukusebenza kwabo njengoba becubungula imisebenzi eminingi

Leli zinga lobuhlakani livumela ukuqalisa ukushintshanisa imisebenzi obekudla isikhathi noma kudingeka ukubhekwa njalo.

Izindawo eziyinhloko zokuzenzakalela ekusebenzeni kokuqala

1. Ukulinganisa ukwesekwa kwamakhasimende ngezinsizakusebenza ezikhawulelwe

Njengoba kuqala ukukhula, imibuzo yamakhasimende ingashesha ukweqa iqembu lokusekela lean. Abasunguli babhekana nokukhethwa okunzima:

• Ukubeka engcupheni yeqembu elivuthayo
• Ukuqasha abasebenzi ababizayo kusenesikhathi
• Ukuhambisa izimpendulo ezihamba kancane

Leligebe lingalimaza ukwaneliseka kwamakhasimende futhi liholele ku-churn ephezulu, njengoba abathengi banamuhla balindele ukwesekwa okusheshayo, okujikelezayo.

I-AI ne-ML Drive Smarter, ukwesekwa kwamakhasimende esigcakayo
Ukuhambisa ukwesekwa okungu-24/7 okuqhutshwa kwe-AI kanye nama-agents ahlakaniphile avumela ukubhala ukukala insizakalo yamakhasimende ngaphandle kokwenyuswa kwekhanda ngokulinganayo. Nakhu ukuthi kungasiza kanjani:

• Ukuhlanganiswa kokusekelwa kweziteshi eziningi
  Amapulatifomu okusekelwa kwamakhasimende anikwe amandla (njenge-intendercom, i-Zendesk, noma i-Freshdesk) Unify Unify, i-imeyili, imidiya yezenhlalo, kanye nokuthumelana ngaphakathi nohlelo ku-Seamless Christing.

• Ukuhlaziywa kwemizwa nokukhuphuka:
  I-AI-Powered Sentiment Classifiers efana neBert, Roberta, ne-OpeAma-Classifiers anikwe amandla anikwe amandla athola imizwa ngesikhathi sangempela, ukukhuphula ngokuzenzakalelayo izindaba ezibucayi ngenkathi uphatha imibuzo ejwayelekile, ukukhulisa ukwethembana nokwethembeka.

Ukusebenzisa lawa masu kuvumela ukuqalwa ukuletha ukuletha okukali, okuphezulu kwekhwalithi ngaphandle kokukhulisa izindleko, ukukhulula amaqembu ukugxila ekuthuthukisweni nasekukhuleni.

2. Ukuphatha ukugeleza komsebenzi we-HR nokuqasha

Ukuqalisa kuvame ukubhekana nomthwalo wokuphatha omkhulu ku-HR, kufaka phakathi:

• Ukubuyekezwa kuqalisa kabusha
• Ukuqothula ukhetho
• Iyacubungula amafomu e-onboarding kanye nokuqinisekisa ukuthotyelwa kwentela

Okweqembu elincane, ngokuphatha ngesandla le misebenzi idla isikhathi esibalulekile futhi inyusa ingozi, njengoba amaphutha ekubhadweni noma ekuthobeleni kungaholela kwizomthetho ezinkulu kanye nemiphumela yezezimali.

I-AI ne-ML yasakaza kanjani i-HR nokuqashwa kwama-Startups

Izinhlelo ze-AI-Powered zisiza ukuqalwa ngokuzenzakalela imisebenzi ephindaphindwayo, ukunciphisa umthwalo we-Manual Work, futhi uqinisekise ukunemba ezinqumweni zokuqasha kanye nokuthobela. Inzuzo ye-AI ekuqasheni:

• Qalisa kabusha ukuhlolwa kanye ne-ShortLing:
  Izinhlelo zokulandela umfanisi ozimele

  -Scan iyaqhubeka
  -Khingomakhono aqondane namakhono ezincwadi ezichazwe emsebenzini
  -Imikhundla evumelana kakhulu nabakhetho abafanele kakhulu

  Lokhu kusika amahora wokuhlola okubhaliwe futhi kusheshise umjikelezo wokuqasha.

• Ukuhlolwa kwe-Ai-edon okuhunyushwayo:
  Amapulatifomu asebenzisa izinjini zokuhlola ezinamandla e-LLM –

  -Ukuhlola
  -AnaMalye izimpendulo zokhetho
  -Ukuphendula ngempendulo ehlelekile

  Lokhu kuqinisekisa inqubo yokuhlola engaguquki futhi esekelwa yidatha, okuvumela abaphathi bokuqasha ukuthi bagxile esigabeni sokugcina sengxoxo nabamele kakhulu.

• Ukukhokhelwa kanye nokunemba kokuhambisana:
  Izinhlelo zanamuhla ze-Payroll zisebenzisa izinjini ezisuselwa kuMthethonqubo ukuze kuqinisekiswe ukubala kwentela okunembile, ngenkathi kusebenza ngasikhathi sinye sokufunda komshini ukuthola inkohliso ye-Payroll noma izindleko ezingajwayelekile ezingakhombisa ubungozi bokuhambisana

Ngokuhlanganisa la mathuluzi we-AI ne-ML, ukuqala kungaphatha imithwalo ye-HR kahle, ukunciphisa amaphutha, futhi kuqinisekiswe ukuqasha okubushelelezi kanye nesipiliyoni sokuphathwa kwabasebenzi.

3. Ukulungiselela ukuthengisa nokumaketha ngokuqonda okulinganiselwe

Ukuqalisa kuvame ukulwela ukuqondisa amathemba ngempumelelo futhi kuhlanganyele amakhasimende ngenxa yedatha kanye nezinsizakusebenza. Imisebenzi efana:

• Ukushaya amagoli ngesandla
• Izithameli Zokuhlukaniswa
• Ukufinyelela komuntu siqu kudla isikhathi futhi kuthambekele kwiphutha

Ngaphandle kokuqonda okunembile, amaqembu okuthengisa adoti imijikelezo ebalulekile kumathemba angafaneleki, ngenkathi imikhankaso yokumaketha ejwayelekile yehluleka ukuphikisa, okuholela kumanani aphansi okuguqulwa kanye nesabelomali sokuchithwa.

I-AI ne-ML kusiza kanjani ukwandisa ukuthengisa nokumaketha

Amathuluzi anikwe amandla asiza ukuthuthukisa ukuthuthukisa ukuthengisa nokuthengisa ukuthengisa, aqede ukuqagela, futhi wenze izinqumo ezibukhali ngisho nedatha elinganiselwe. Nakhu ukuthi basiza kanjani:

• Ukuhola amagoli kanye nokufaneleka:
  Ama-CRM athuthukisiwe anjenge-HubSpot noma i-Salesforce Ahlaze:

  Ukusebenzisana kokusebenzisana
  -Ukuhlehlisa amasiginali
  Amaphethini -Behavialior

  Lokho kukhomba ukuhola okuphezulu okuphezulu ngokuzenzakalelayo. Lokhu kuqinisekisa amaqembu okuthengisa agxile kumathemba okungenzeka aguqule.

• Ukuhlukaniswa kwezithameli kanye nokuqondisa:
  I-AI-DRIVED CREED PLATTORTS IMIBHALO EZIQINISEKILE KAKHULU NGOKUTHENGA IZITHUTHA ZOKUXHUMANISA IZIMPAWU ZOKUFUNDA KWAMAKHAYA, Ukubalwa kwabantu, kanye nokuzithandela kokuthenga, okunika amandla imikhankaso ebhekiswe kuzo.

• Outream OffAiation nokwenza umkhankaso:
  Llms like I-GPT-4, Ingwayenoma Llama 3 Khiqiza ukulandelana kwe-imeyili okwenziwe nge-imeyili, izikhangiso, kanye nezincomo zomkhiqizo.

Ngasikhathi sinye, amathuluzi we-AI abikezela ahlaziya amanani avulekile wokuqinisa izikhathi zokuthumela kanye nemiyalezo, eqinisekisa ukubandakanyeka okukhulu kanye nokuguqulwa.

Ngokwamukela lezi zixazululo ze-AI ne-ML, ukuqalwa kungathuthukisa ukuqondiswa, ukukhulisa ukubandakanyeka, futhi ushayela i-ROI ephakeme ngokuthengisa kanye nemizamo yokuthengisa ngisho nezinsizakusebenza ezincane.

Ukuze ukhulume ngokweqiniso la masu wokukhangisa ngokunemba, isisekelo sobuchwepheshe esakhiwe esihlelekile kwesinye isikhathi siyadingeka. Izinhlelo ezinjengohlelo lokuthweswa iziqu zePost Graduate ku-Artificial Intelligence kanye nokufunda komshini: Izicelo zebhizinisi zinikeza lokhu ngokufundisa ochwepheshe bezokwakha amamodeli okubikezela kwamakhasimende nokuhlaziywa kwemizwa, amasu wokumaketha asekelwa yi-algorithms eqinile, eqhutshwa idatha esikhundleni nje.

4. Ukusingatha ukuhamba kwemali okungalindelekile

Ukuqalisa kuvame ukuzabalaza ukubonakala kwezezimali ngenxa yezimo zemakethe eziguqukayo kanye nemifudlana yemali engenayo. Ukubikezela amanani okushisa noma okulindelwe ukuthi izikhala zokuhamba kwemali ziba yinselele lapho izimo zemakethe zishintsha noma izindleko ezingalindelekile zivela.

Ukuthembela kumaSpreadshetchies kukhulisa ubungozi bamaphutha, okwenza kube nzima ukulondolozela ukubonakala kwesikhathi sangempela sempilo yezezimali noma ukubona izingqinamba ezingaba khona ngaphambi kokuba zikhule.

I-AI ne-ML kusiza kanjani ekuphathweni kwezimali kuma-Startups

Amathuluzi wezezimali anamandla we-AI asiza ukuqalisa ukushintshanisa ukuguqulwa kwemali okuguqukayo, izindleko zokubikezela kwezindleko, kanye nokwandisa ukwabiwa kwezinsiza ngokuzikhandla okuncane. Nakhu ukuthi basiza kanjani:

• Ukubikezela Okumahhala Kwezimali:
  Izici ze-AI ngaphakathi kwesoftware ye-accounting (enjenge-QuickBooks Online Advanced Od Advanced noma i-xero analytics) Hlaziya ukuthengiselana okungokomlando kanye nezitayela zemakethe ukubikezela ukuhamba kwemali okuzayo, ukusiza abasunguli balindele izikhala kanye nohlelo lokusebenzisa imali ngokumelele.

• Ukuphathwa kwezindleko nokutholwa kwe-anomaly:
  Amathuluzi ezezimali ezenzakalelayo aqapha ukusetshenziswa kwemali ngesikhathi sangempela ukuze afulelele ukuthengiselana okungajwayelekile kanye nama-invoice aphindwe kabili, ukunciphisa ukucwaningwa kwamabhuku okwenziwe ngesandla kanye nokuvimbela ukuvuvukala kwezezimali.

• Ukulungiswa Kwezinsizakusebenza:
  Amamodeli wokuhlaziya ahlalukazi angancoma ukuthi ungabela kanjani imali elinganiselwe emisebenzini, ukumaketha, nokuqasha ukukhulisa i-Runway ne-ROI.

Ngokufaka amathuluzi la-AI ne-ML, ama-Startups athola ukubonakala kwesikhathi sangempela ezimalini, anciphise amaphutha, futhi enze izinqumo eziqhutshwa idatha ezigcina imisebenzi esimeme ngisho nezingqinamba zezinsiza.

I-5. Idatha ebekiwe yezinqumo ezinolwazi

Ukuqalisa ukufinyelela idatha ebanzi, kepha ukukhipha inani kuyinselele. Abasunguli bavame ukubhekana nokulayisha imininingwane, ngama-metric asakazeke kuwo wonke amathuluzi ahlukahlukene nemibiko.

Ukucutshungulwa kwesandla akusebenzi futhi kuthambekele emaphutheni, kuvame ukuphoqa izinqumo ezisebenzayo esikhundleni sezenzo zamasu, asuselwa ebufakazini.

I-AI ne-Machine yokufunda ifunda kanjani izinqumo zebhizinisi ngobuhlakani

Ubuhlakani bokufakelwa busebenza njengohlaziyi oqhubekayo, ukuguqula idatha eluhlaza ibe ngokuqonda okungasebenziseka kanye nokuqondisa izinqumo zebhizinisi amasu. Nakhu ukuthi kusiza kanjani:

• Ukuhlanganiswa kwedatha ezenzakalelayo:
  Izixhumi zedatha ze-AI eziqhutshwa ngokuzenzakalelayo ziqoqa ngokuzenzakalelayo, zihlanza, futhi zihlanganise idatha emithonjeni eminingi, njenge:

  Izinhlelo Zokuphathwa Kobudlelwano Bokubumbana
  -Ukubeka amapulatifomu
  Isoftware -Finance in Repository eyodwa ephakathi nendawo

  Lokhu kudala umthombo weqiniso wesikhathi sangempela, kuqeda amaphutha ekuphatheni idatha ye-Manual kanye nokunikeza umbono ophelele wokusebenza.

• Ukubikwa okuzenzakalelayo:
  Amamodeli wesizukulwane semvelo solimi lwemvelo aguqula idatha eyinkimbinkimbi yezibalo kanye nokusebenza ibe yimibiko ecacile, efundeka yabantu. Lezi zinhlelo zingakhiqiza izifingqo zansuku zonke noma zamasonto onke ezichaza:

  -Izinguquko -Metric
  -Izifiso
  -Akomalies

  Lokhu kuvumela abenzi bezinqumo ukuthi baqonde ngokushesha izizathu ngemuva kokusebenza kwebhizinisi ngaphandle kokuchitha amahora ukuhlaziya idatha eluhlaza.

Ukucatshangelwa okubalulekile kokuqalisa ngaphambi kokusebenzisa i-automation ye-AI

• Ukuhlanganiswa kokuhamba komsebenzi: I-automation kufanele ihlanganise ngaphandle komthungo ngama-CRMS akhona, amasistimu we-HR, namathuluzi womkhiqizo ukugwema ukuphazamiseka okusebenzayo.

• Ezokuphepha Nokuhambisana: I-Startups kumele ivikele idatha ebucayi futhi ilandele izidingo zokulawula. Ukusetshenziswa kokuziphatha kwe-AI kubalulekile, ikakhulukazi ekuqashweni nasekuhlaziyweni kwamakhasimende.

• Ukuqapha kanye nokwenza ngcono okuqhubekayo: Amamodeli we-AI kumele alandelwe njalo, avuselelwa, futhi acwengile ukuhlala kahle njengedatha nokuziphatha komsebenzisi kuvela.

• Sula Inkinga Yezinkinga: I-AI isebenza kangcono lapho isetshenziswa ezinhlelweni ezichazwe kahle. Khomba amabhodlela athile ngaphambi kokusebenzisa ezenzakalelayo.

• Ukuhlolwa kwe-Pilot ngaphambi kokukhala: Ukwethula abashayeli bezindiza abancane kuvumela ukuqalwa ukukala ukusebenza, ukuqinisekisa ukucatshangelwa, kanye nokuhlaziywa kokusetha ngaphambi kokuthumela ukuhanjiswa okugcwele.

Ukugcina

Osomabhizinisi baphatha izingcindezi eziningi zokusebenza futhi benze njalo ngezinsizakusebenza ezikhawulelwe; Kodwa-ke, i-Al ne-ML ingasusa abasebenza ngokuhlaziya izinqubo, ukukhulisa ukunemba, nokunikeza okuhlangenwe nakho okungcono kwamakhasimende.

Inqubo ezenzakalelayo ibeka ukuqala phezulu endleleni yokusebenza kahle, yenza izinqumo ezinolwazi, futhi ibe ngumncintiswano wemakethe ekhula ngokushesha.

Le mastery ingatholwa ngohlelo lokuthola iziqu zabaholi abaholi, lapho abafundi bazoqeqeshwa khona ekwakheni ama-ejenti abazimele futhi basebenze kahle imisebenzi yabo yenhlangano yansuku zonke. Ikusasa lenzelwe labo abazosebenzisa imisebenzi yanamuhla.