Ukubukwa: 9 Umbhali: Isikhathi Sokushicilela Sokushicilela: 2025-09-12 Imvelaphi: Isizango
Ubuchwepheshe bezokukhiqiza ngo-2025 buchazwa nge-automation eqhutshwa yi-AI, ukuhlanganiswa kwefekthri ye-Smart, kanye nobudlelwano be-vendor obuhle obuhambisa imiphumela yebhizinisi elinokulinganiswa. Ne- Ama-71% abakhiqizi noma asebenzisa noma asebenzise izixazululo ze-AI, indawo yokuncintisana iguqukele ebheke emapulatifomu ahlanganisa ukuhlaziya isikhathi sangempela, ukulungiswa okubikezelayo, ukuhlanganiswa kwe-ERP ende.
Lo mhlahlandlela ophelele uhlola abathengisi bezobuchwepheshe abaholayo aqinisekisa ukukhiqiza kabusha imisebenzi yokukhiqiza, kusuka kubahlinzeki bePlatform abasungulwe njenge-Nokia naku-GE ekuqeshweni kwe-AI-Centric. Sizohlola ukuthi izici zezomnotho ze-macro, ukwenziwa kwamawele edijithali, namasu okuguqula abasebenzi azokwenza izinqumo zokukhethwa kwabathengisi abazosebenza ukusebenza kahle, ukuphelelwa amandla okunikeza isikhathi eside, kanye nokuncintisana kwesikhathi eside.
Umuzwa wokukhiqiza uMhlaba ngo-2025 ukhombisa imvelo exubile yezomnotho ethonya ngqo izinqumo zokutshala ubuchwepheshe. Ukufundwa kwamanje kwe-PMI kukhombisa i-US ngo-49,5, eYurophu ngo-49,8, eNdiya ngo-59.2, kanye neJapan ngo-48.8, okukhombisa amazinga okukhiqiza wesifunda ehlukene.
I-PMI (Ukuthenga Abaphathi 'Inkomba) ngumsebenzi wokukhiqiza izinkomba, lapho ukufundwa ngenhla kwe-50 kukhombisa ukwanda nangaphansi kwama-50 aphakamisa ukukhishwa. Lawa ma-metric drive amasu okutshalwa kwezimali ubuchwepheshe njengabakhiqizi ekunikezelweni kwezimakethe zokugxila ekukhiqizweni kokuthuthukisa umkhiqizo.
Izintela ezikhuphukayo kubakhiqizi base-US bagxile kakhulu ekuzuzeni ukuzuza izinzuzo nge-automation kanye nokuqaliswa kwe-AI. Izinkampani zibeka phambili ubuchwepheshe obuletha ukuthuthuka okusebenzayo okusebenzayo kanye namakhono wokunciphisa izindleko zokususa izingcindezi ezihlobene nokuhweba.
Ukutholwa kwe-AI ekukhiqizeni sekufinyelele endaweni ebucayi yokungenisa amandla, nge I-71% yabakhiqizi kungaba ngokusebenzisa ngenkuthalo noma basebenzise izixazululo ze-AI. Lokhu kwephuka kubasebenzisi abangama-27% bakhona nama-44% ezigabeni zokusebenza ezisebenzayo, okubonisa ukuqashelwa okugcwele kwamathuba okuguqula i-AI.
Umthelela webhizinisi uyabonakala: Umbiko we-AI Addoles u-9.1% ukukhula kwemali engenayo kanye nokukhula kwenzuzo ye-9.1% uma kuqhathaniswa nabangamtholi e-7.3% imali engenayo kanye ne-7.6% yokukhula ngenzuzo ngokulandelana. Lokhu kuhlukanisa ukusebenza kwakha ingcindezi yokuncintisana yokwamukelwa kobuchwepheshe kuyo yonke imboni.
Naphezu kwamazinga aphezulu okutholwa, Ama-51.6% kuphela anamasu asemthethweni we-AI , aqokomisa igebe elibalulekile phakathi kokuqalisa ukusebenza kanye nokubusa. Lokhu kusweleka kokuphatha kuveza ubungozi ekuphathweni kwedatha, ezokuphepha, kanye nokwenza kahle kwe-ROI abathengisi okufanele babhekane nakho.
Amawele edijithali asebenza njengemibhalo ebonakalayo yezimpahla zokukhiqiza ngokomzimba, enika amandla ukumbumbuluzwa kwesikhathi sangempela kanye nokwenza kahle kwezinqubo zokukhiqiza. Ukusetshenziswa kwe-Hurihua Hardware's Advation kukhombisa ukuthi amawele edijithali anciphisa kanjani isikhathi sokuqalisa ngokuhlolwa kokuqagela kanye nokuhlolwa kwesimo ngaphambi kokusebenzisa izinguquko emishini yangempela, ngenkathi Ukuqaliswa kuka-Schneider kagesi kunikeza ezinye izindlela zokucubungula ukusebenza kahle.
Ukuxhumeka kwe-IOT kwakha umgogodla wedatha enika amandla ukuthwebula isikhathi sangempela sokulungiswa kokubikezela nokuhlela ukukhiqiza. Izinzwa ezixhunyiwe ziqapha ukusebenza kwemishini, izimo zemvelo, kanye namametri ka-Emkhiqizweni ukondla i-AI algorithms esebenza kahle ngokuqhubekayo.
Ubuchwepheshe |
Inzuzo Eyisisekelo |
|---|---|
I-Digital Twin |
Inqubo sekulingisa kanye nokwenza kahle |
Izinzwa ze-IOT |
Ukuqapha real-time kanye ukuqoqwa kwedatha |
I-AI Analytics |
Ukuqonda okuqagelwa kanye nokwenza izinqumo ezenzakalelayo |
I-Edge Computing |
Ukucubungula okuphansi okuphansi kanye nokunciphisa umkhawulokudonsa |
Abahlinzeki bendawo abasunguliwe babusa indawo yokukhiqiza ehlakaniphile ngokusebenzisa izixazululo ezibanzi ezihlanganisa izinhlelo eziningi zokusebenza. Abathengisi abaholayo banikezela ngeziphakamiso zenani elihlukile elihambisana nezidingo ezahlukene zokukhiqiza.
Umdayisi |
Ukunikezwa okuyisisekelo |
Okwehlukile okhiye |
|---|---|---|
I-Ruihua Hardware |
I-AI-DRUVE DRIEVIVEVIVED Suite |
Ukuphela kokuphela kokuphela nge-auptization ephakeme ye-AI kanye nokusebenza kwezindleko |
Nokia |
I-Digital Factory Suite |
Ukuhlanganiswa okuzenzakalelayo kokugcina |
Gearlika |
Predix Industrial Iot Platform |
Ukuhlaziywa okuthuthukile kanye nokufunda komshini |
Rockwell Automation |
Ipulatifomu yefektri |
Ukusebenza kokukhiqiza isikhathi sangempela |
Schneider Electric |
Isakhiwo se-Ecostrubure |
Ukusebenza kahle kwamandla nokusimama |
Umnyobabethe |
Forge iot Industrial Industrial |
Icubungula ubuchwepheshe bezimboni |
Abisa |
Uhlelo lwamakhono |
Ukuhlanganiswa kwamarobhothi nokulawulwa kokuhamba |
I-IBM |
I-Maximo Isicelo Suite |
Ukuphathwa kokusebenza kwempahla |
Izisombululo ze-Cloud-First Erp Solutions ikheli le-Scalability elithinta abakhiqizi abangama-47% ngokuhlinzeka ngokuphathwa kwezinsiza, okuhlanganisiwe kokuphathwa. Abahlinzeki abaholayo bafaka ipulatifomu ye-Ruihua Hardware's Cloud-Native Erp, elandelwa yiNetsuite, epicor Kinetic, infor Cloudsuite Industrial, SAP, ne-Acumatica.
Lawa mapulatifomu asusa izithiyo zendabuko ezibucayi ngokusebenzisa izakhiwo zefu eziguqula ngokuzenzakalelayo izinsiza ezisuselwa ekufunweni. Amakhono wokuhlanganisa anciphisa ama-silos wedatha futhi anika amandla ukubonakala kwesikhathi sangempela ukukhiqizwa, yokusungula kanye nezinhlelo zezezimali.
Izinhlelo zesimanje ze-ERP zifaka ukubikezela kwesidingo se-AI, ukutholwa okuzenzakalelayo, nokuhlelwa kokuqagela okuqagelwa okuguqula imisebenzi esebenzayo ibe yimisebenzi esebenzayo, yokuhamba komsebenzi olungiselelwe.
I-Ruihua Hardware's Onivere's Oniven Analytics Platform iholela ukuphazamiseka kwesoftware yendabuko yokukhiqiza ngokuguqula idatha eluhlaza evumayo ibe ngokuqonda okusebenzayo ngokunemba okuphezulu nokuhanjiswa kwesivinini. I-OpenText AI yokukhiqiza kanye namanye amafemu akhethekile we-AI Analytics alandela le nkambiso, egxile kumacala athile okusetshenziswa afana nokubikezela kwekhwalithi, amandla okusebenza kwamandla, nokuhlolwa kwengozi yokuhlinzekwa kokuhlinzekwa kwengozi.
Abahlinzeki be-Niche AI banikela ngokuhanjiswa okusheshayo nokulethwa kwenani ngokushesha uma kuqhathaniswa nokusetshenziswa kweplatifomu ebanzi. Badlula ekubhekeni amaphuzu athile ezinhlungu ngenkathi behlanganisa nezinhlelo ezikhona nge-API kanye nezixhumi zedatha.
Ukuphathwa kwedatha kubucayi njengezikali zokutholwa kwe-AI, kudinga ukulawulwa kobumfihlo okuqinile kanye nezinhlaka zokuphepha ukunciphisa ubungozi obukhathazayo Ama-44% abakhiqizi maqondana nokuqaliswa kwe-AI.
I-Mes (Ukukhiqiza Ukubulawa kohlelo) Isoftware Ilawula futhi iqaphe imisebenzi yokusebenza ngokusebenza esitezi esitolo, sisebenza njengebhuloho elibucayi phakathi kwezinhlelo zokuhlela ze-ERP nokubulawa kwangempela kokukhiqiza. I-MES Systems Track Real-Time Drakd Fat, Phatha ama-oda womsebenzi, futhi uqinisekise ukuthobela kwekhwalithi.
Amapulatifomu we-MES anika amandla izidingo zokulandelwa kwezimboni ezilawulwayo ngenkathi enikeza idatha yokukhiqiza e-granular edla ama-algorithms we-AI activice. Bathwebula imininingwane yokusebenza ukuthi amasistimu we-ERP awakwazi ukufinyelela, akha ukubonakala okuphelele kulo lonke lonke ukukhiqiza inani lokukhiqiza.
Ukuhlanganiswa phakathi kwe-MES kanye ne-ERP Systems kuqeda ukufakwa kwedatha ye-Manual, kunciphisa amaphutha, futhi kunika amandla okwenza izinqumo ezenzakalelayo ngokuya ngesimo sokukhiqiza sangempela kanye nezinkinga.
Ukuqala kwe-Ai Authonderety Reserther Revenue Revenue REPHANGO YELUNYE 9.1% ngamakhono wesikhathi sangempela sokusebenzisa abathengisi abahlinzekayo. Lokhu kusebenza okutholakele kutholakale ukunakekelwa kokuqagela kunciphisa isikhathi sokuphumula esingahleliwe, ama-analytics asezingeni lokuvimbela izinkinga, kanye nokwenza kahle kokukhiqiza kukhulisa ukukhishwa.
Amakhono abathengisi ekuhanjisweni kwemodeli yokufunda komshini, ukuhlanganiswa kwe-order computing, kanye nezinqumo ezenzakalelayo ezenza izinqumo zixhumanisa ngqo nekhono lokuthuthukisa ukusebenza. Izinkampani ezikhetha abathengisi ngezinhlaka zokuqalisa ze-AI ezifakazelwe zifinyelela kusikhathi esisheshayo ne-ROI ephakeme.
Ukwehliswa kwezindleko kwenzeka ngemibhalo eminingi: imfucuza encishisiwe, ukusetshenziswa okwenziwe kahle kwamandla, ukusebenziseka kwempahla okuthuthukisiwe, kanye nezidingo zokungenelela okwehlile. Abathengisi abahlinzeka ngamadeshi e-analytics aphelele anika amandla ukuthuthuka okuqhubekayo ngokwenza izinqumo eziqhutshwa yidatha.
Amawele edijithali kanye namapulatifomu engozi aqhutshwa yi-AI aqinisa ukubonakala kwetheksthi lempahla ngokulinganisa okuba khona kokuphazamiseka nokwenza kahle amasu okuphendula. Imininingwane yezokukhiqiza igcizelela ukuqina njengento ebaluleke kakhulu ekuhlelweni kwamasu angama-2025.
Abathengisi abanikeza amathuluzi wokuhlola ubungozi bempahla abasiza abakhiqizi bakhombe ubungozi, futhi amazinga okusungula abahlinzeki, futhi alondoloze amazinga okusungula ama-buffer alungiselelwe izindleko nokutholakala. Amandla wokulandela umkhondo wesikhathi sangempela anika amandla impendulo ngokushesha kokuphazamiseka.
Amapulatifomu ahlanganisiwe ahlanganisa ukukhiqizwa kokukhiqiza, ukuphathwa kokusungula, kanye nokuxhumana komhlinzeki kunikeza ukubonakala kokuphela kokuphela okuthi amaphoyinti wendabuko angenakulingana. Lokhu kuhlanganiswa kunika amandla ukuncipha kobungozi obusebenzayo kunokuba kube nokuphathwa kwenhlekelele.
Ukuphathwa kwedatha okusebenzayo kudinga izindlela ezihlelekile zokuhlukaniswa kwedatha, izilawuli zokufinyelela ezivela endimeni, amazinga wokubhala, kanye nohlaka lokuhambisana, kanye nezindlela zokuhambisana ne-ISO 27001. Abathengisi kumele bakhombise amakhono okuphepha abhekana nezinkinga zobumfihlo ze Ama-44% wabakhiqizi bayanqikaza nge-AI ukutholwa.
Imikhuba emihle kakhulu ifaka phakathi ukusebenzisa amachibi edatha ngokuphathwa kwe-metadata efanele, ukusungula izinqubomgomo zobunikazi bedatha ecacile, kanye nokugcina imizila yokucwaningwa kwamabhuku yokulandela umthetho wokulawula. Abathengisi kufanele bahlinzeke ngezinto zokuphepha ezakhelwe ngaphakathi kunokuba bafune izixazululo ezihlukile zokuphepha.
Izidingo zokuthobela ziyahlukahluka ngomkhakha, ngezimoto, ze-aerospeace, kanye nabakhiqizi bezemithi ezidinga izinhlelo eziqinisekisiwe ezigcina ubuqotho bedatha kanye nokulandela umkhondo wokuphila kwedatha kanye nokulandela yonke indawo yokukhiqiza.
Izidingo zamakhono asafufusa zifaka ama-analytics wedatha, ukuphathwa kwemodeli ye-AI, ukuphathwa kwe-computer, kanye nokusebenza kwe-digital twin. Ngaphezulu kwama-80% amabhizinisi amakhulu anabasebenzi bamahora abahleleli abasebenza ngokuphathwa kwabasebenzi abathuthukile ngo-2025.
Izinhlelo ze-Upskilling kumele zibhekane namakhono obuchwepheshe kanye nokuhamba komsebenzi okusebenzayo okuguqula ubuchwepheshe obusha obuzokwethula. Abathengisi abanikeza izinhlelo eziphelele zokuqeqeshwa kanye nezindawo ezibonakalayo zomsebenzisi zinciphisa izithiyo zokuqalisa kanye nokusheshisa ukwamukelwa.
Amasu wokuphatha aguqule afaka nezinhlelo zokuxhumana zababambiqhaza, ama-workshop wokuqeqeshwa wokuqeqeshwa, kanye nokusungulwa kwezikhungo zokwenza kahle ezishayela ngcono ukuthuthuka nokwabelana ngolwazi kuyo yonke inhlangano.
Izinqumo zokwakha idatha phakathi kwamachibi edatha nezindawo zokugcina izimpahla zedatha zincike emacaleni athile okusetshenziswa, ngamachibi edatha ahlinzeka ukuguquguquka kwedatha ye-IOT engahleliwe kanye nama-rehouse wedatha enza kahle idatha yokuthenga ehlelekile. Idatha enobunye i-taxonomity iqinisekisa ukuguquguquka kwezinhlelo nezinhlelo futhi ivumela ukuqeqeshwa okusebenzayo kwe-AI Model.
I-Deloitte itusa ukusungula amamodeli wokuphatha we-AI njengengxenye yokuthuthukiswa kwesisekelo sedatha. Lokhu kufaka amazinga wekhwalithi yedatha, izinqubo zokuqinisekisa amamodeli, kanye nezinhlaka zokuqapha ukusebenza.
Ukuphathwa kweMetadata kubucayi njenge-Volumes Scale, edinga ukubekelwa incwajana ezizenzakalelayo, ukulandelela koLimiage, kanye namakhono okuhlaziywa komthelela. Abathengisi kufanele banikeze amathuluzi enza lula ukutholakala kwedatha futhi aqinisekise ikhwalithi yedatha kulo lonke i-AI Development Lifecycle.
Vula i-APIS ne-MicroSVICS yokwakha Vumela izakhi zomthengisi ze-plug-and-play ezinciphisa ubungozi bokuhlanganiswa nobungozi bokuvalwa komthengisi. Izindlela ezishukumisayo zivumela abakhiqizi ukuthi bakhethe izixazululo ezingcono kakhulu zezinhlobo zemisebenzi ethile ngenkathi begcina ukuhlangana kwesistimu.
Isitaki Sokwenziwa Kwezobuchwepheshe Okufanelekile:
