- I-Agent AI kanye nezinsizakalo eziphethwe zichaza kabusha isiteshi se-IT sibe amamodeli okuqina kwe-cyber kanye nenani elilinganiswayo.
- I-Cloud 3.0, ukwakheka kwe-API-first, kanye ne-hyperautomation kuguqula ubuchwepheshe bube uhlelo lokusebenza lwebhizinisi oluhlanganisiwe.
- Ukubusa, imithethonqubo, kanye nobukhosi bezobuchwepheshe kubeka ukwamukelwa kwe-AI, idatha, kanye nefu kugxilwe engcupheni nasekulandeleni imithetho.
- Izingcindezi zamandla nokusimama ziqhuba i-GreenOps, ukubala kwendawo ngama-NPU kanye nokwenza ngcono ingqalasizinda.
Kulesi simo, bakhuluma ngokuqina kwe-cyber, izindawo ezincane kodwa ezikhethekile kakhulu zabalingani, ukukhuphuka kwemodeli ye-MSP, i-AI e-ejenti ezindaweni zangempela, i-Cloud 3.0, i-GreenOps, ukuphathwa kwedatha okuhlanganisiwe, amapulatifomu endabuko e-AI, imisebenzi ehlakaniphile, kanye nombono wobuchwepheshe njengomshayeli oqondile wokuncintisana kanye nobukhosi. Okuzayo akuyona enye imjikelezo ye-hype, kodwa yisikhathi sokukhombisa i-ROI kanye nokuqina.
Inkathi entsha yesiteshi se-IT: kusukela ekuthengisweni kabusha kuya ekuqineni kwe-cyber okuphethwe
Isiteshi se-IT sishintsha kakhulu siye ekuqineni kwe-cyber njengesiphakamiso esiyinhloko senani. Njengoba abaphathi beziteshi abavela kubahlinzeki abakhulu bokuvikelwa kwedatha kanye nokuphepha kwe-cyber besho, izingxoxo namakhasimende zidlulele ngale "kokuphepha kanye nokusekela ngokulondoloza" kwendabuko zaya ezingxoxweni ezibanzi mayelana nokuvimbela, ukuthola, ukuphathwa kobunikazi, ukusekela ngokulondoloza okuhleliwe, kanye nokululama okuphelele, ikakhulukazi ezindaweni ezihlanganisiwe, zamafu amaningi, kanye ne-SaaS.
Lokhu kuyinkimbinkimbi kusho ukuthi akekho umenzi oyedwa ongamboza lonke uhlobo lwe-spectrum eyedwa , okuqhuba ukukhula kwezinhlelo zemvelo ezisebenzisana kakhulu. Indima yomhlanganisi wezinhlelo zomhlaba wonke (i-GSI), umthengisi we-value-added (i-VAR), futhi ikakhulukazi umhlinzeki wesevisi ophethwe (i-MSP) iyanda, kanti i-MSP iba injini yokukhula ngaphakathi kwendawo yokumelana ne-cyber. Izinkampani azisafuni nje imikhiqizo; zifuna umlingani othatha umthwalo wemfanelo oqhubekayo ngesimo sazo sokuphepha.
Ngesikhathi esifanayo, abakhiqizi bakhetha kakhulu ngokubambisana kwabo . Inani labalingani liyancipha, kuyilapho ukubambisana kujula nalabo abangabonisa ukuvuthwa kwenkonzo, ikhono lokuklama izixazululo eziphelele, kanye nokulethwa okuqhubekayo. Izinhlelo zezentengiselwano, izikhuthazo, kanye nezinsizakusebenza ziyahlelwa kabusha ngokuzungeza imodeli ye-MSP , zivuza labo abanikeza ukuqina kwe-inthanethi njengesevisi kanye nesiqondiso sochwepheshe ezindaweni ezihlanganisiwe, zamafu omphakathi, kanye ne-SaaS.
Lolu shintsho lusho ukuthi abalingani abahlala bebambeke ekuthengiseni kabusha okulula babhekene nengozi yangempela yokuba ngabangabalulekile . Inani liya ngokuya olwazini, ekuhlanganisweni, nasekuphathweni okuqhubekayo. Isiteshi esamukela ukuqina kwe-inthanethi, ukuzenzekela, kanye nokuphatha njengesevisi sizoba yingxenye ebalulekile yamasu obuchwepheshe besikhathi eside bamakhasimende aso.
I-AI Esebenzayo: kusukela kuma-chatbots kuya ezinhlelweni ezisebenza ngokuzimela
Ubudlelwano bethu nobuhlakani bokwenziwa sebuzoshintsha kakhulu . Kuze kube manje, izixhumi zengxoxo bezilokhu ziyindinganiso: ucela isifinyezo, umbhalo, noma isithombe, bese uhlelo luphendula. Eminyakeni ezayo, lo modeli uzonikeza indawo i-AI e-ejenti, lapho izinhlelo zingaphenduli khona kuphela kodwa futhi zenza imisebenzi eyinkimbinkimbi ngokuzimela, zisebenzisana nezinhlelo zokusebenza, idatha, kanye nezinye izinsizakalo.
Empeleni, lokhu kusho ukuthi abasebenzisi bazoyeka ukucela iziphakamiso bese beqala ukudlulisela imisebenzi . Esikhundleni sokucela izincomo zokuhamba ezivela ku-chatbot, bazonikeza i-oda ku- ejenti , enezimvume ezifanele, ezofunda ikhalenda, iqhathanise izinketho zendiza, ibhukhe, ikhokhe, futhi ithumele iziqinisekiso ngaphandle kokubhekwa njalo. Lokhu kukhuphuka kuzokhulisa umkhiqizo, kodwa kuzonciphisa futhi umkhawulo owamukelekayo wamaphutha futhi kuphakamise ukuqwashisa mayelana nokuphepha kanye nokuziphendulela.
Imakethe isivele izihlela ngezigaba ezimbili eziyinhloko: amapulatifomu nezinhlaka zokudala ama-ejenti enziwe ngokwezifiso , kanye nezixazululo ezihlanganiswe nabathengisi. Abadlali abanjengo-OpenAI, Google, Microsoft, Oracle, Amazon, Nvidia, Salesforce, Cisco, kanye ne-SAP banikeza konke kusukela kuzakhiwo zama-ejenti ezakhiwo kuya kuma-ejenti aklanyelwe ngqo ukuthengisa, ukusekela, ukuzenzekela kwenqubo, ukubonwa, noma ukuphathwa kwengozi.
Ngaphezu kwalokho, izindawo zemvelo zama-ejenti zizoqala ukuxhumana zisebenzisa amaphrothokholi afana ne-A2A (i-ejenti-kuya-ejenti), okuvumela ukuhamba komsebenzi okusatshalaliswe lapho ama-ejenti amaningi ebambisana khona kudatha eyabiwe kanye nama-API ebhizinisi. Lokhu kuzimela ngeke kube okuphelele ekuqaleni: izinqubo ezibalulekile zizoba nezindlela eziqinile zokuqapha abantu kanye nezinhlaka zokuziphendulela ezichazwe ngokucacile ukuze zihambisane nemithethonqubo kanye nokuhlolwa kwamabhuku.
Unyaka weqiniso we-AI: kusukela ku-pilot kuya ku-impact on the downth line
Ngemva kweminyaka eminingana yamaphrojekthi okuhlola kanye nokuhlolwa kobufakazi bomqondo, i-AI ibhekene novivinyo lwayo olunzima . Ama-CIO kanye nama-CEO andisa ingcindezi: yonke i-euro etshalwe ku-AI kumele ibonise umthelela oqondile emalini engenayo, ekunciphiseni izindleko, ekunciphiseni ubungozi, noma kumamodeli amasha ebhizinisi. Imibono yesikhathi esizayo inika indawo yemibuzo engaqinisekile: kubiza malini, kunikeza ini, futhi ubani onesibopho uma kwehluleka?
Izinkampani ezinkulu zokubonisana kanye nabahlaziyi bayavuma ukuthi ukugxila kuyashintsha kusuka ekuhlolweni okuhlukile kuya ekusetshenzisweni kwebhizinisi . Isihluthulelo akusekho "icala lokusetshenziswa okubonakalayo," kodwa kunalokho ukwakha inqwaba yebhizinisi ledijithali eliqhutshwa idatha elinezindwangu zedatha ezihlanganisiwe, ukuhlanganiswa okuqinile, ukubonwa, ukuphepha, kanye "nekhemikhali" yangempela yabantu-AI ekhuthaza ukwethembana nokwamukelwa okusimeme.
Izinombolo seziqala ukusekela lo mkhuba: iphesenti elikhulayo lezinhlangano selivele linezinhlelo zokusebenza ezilungele i-AI ekukhiqizeni , kanye nokuthuthuka okukhulu ekusebenzeni kahle kanye nesikhathi esincishisiwe sokuya emakethe. Kodwa imikhawulo ecacile nayo iyavela: isimo se-FOMO (ukwesaba ukuphuthelwa) siholele ekutheni amaphrojekthi amaningi aqalwe ngaphandle kwecala eliqinile lebhizinisi, kanti u-2026 uzoba unyaka onquma ukuthi yiziphi izinhlelo ezisaphila nokuthi yiziphi ezishiywe ngenxa yokuntuleka kwe-ROI.
Ngaphezu kwalokho, ama-CEO ku-EMEA afuna ubufakazi obuphathekayo benani ngaphambi kokuvuma amaphrojekthi amasha e-AI . Izinto eziza kuqala ziyashintsha kusukela ekuthuthukiseni umkhiqizo womuntu ngamunye kuya ekusungulweni kwemodeli yebhizinisi, ukuvuselelwa kwenqubo, kanye nokuqina kwenhlangano. I-AI kulindeleke ukuthi ilethe ubuhlakani, izinsizakalo ezintsha, kanye nezindlela ezahlukene zokuphatha, okuzophinde kudale ukungezwani emsebenzini kanye, cishe, ukuhlelwa kabusha kanye nokuxoshwa emisebenzini ethile.
Ama-ejenti e-AI azodlala indima ebalulekile kulokhu kukhuphuka . Inani elikhulu lamabhizinisi amakhulu kulindeleke ukuthi ahlanganise ama-ejenti ezinkundleni zawo zokuqaphela kanye nezokuphepha ukuze enze ngokuzenzakalelayo ukuphoqelelwa kwenqubomgomo, anciphise ukwephulwa kwemithetho, futhi alondoloze ukuthobela imithetho. Uma i-AI ingakhombisi imiphumela elinganisekayo kulo mjikelezo, izinhlangano eziningi zizonciphisa ukutshalwa kwezimali kwazo futhi zigxile ezinhlelweni ezinezinzuzo ezicacile.
Indlela i-AI ebhala ngayo kabusha isofthiwe, ifu, kanye nemisebenzi
I-AI ayigcini nje ngokuphazamisa izinhlelo zokusebenza zebhizinisi; iguqula ukuthuthukiswa kwesofthiwe ngokwayo . Izinhlelo zendabuko ezisekelwe emigqeni yokubhala ikhodi zinikeza indlela imodeli lapho abathuthukisi beveza khona izinhloso kanye ne-AI ekhiqiza futhi igcine izingxenye. Lokhu kunciphisa imijikelezo yokulethwa, kuthuthukisa ikhwalithi, futhi kukhulula amaqembu abantu ukuthi agxile ekwakhiweni kwezakhiwo, ukuphepha, ukubusa, kanye nokuxhumanisa ama-ejenti.
Lokhu "kwakhiwa kabusha kwesofthiwe" kudinga izinhlaka ezintsha zokuphatha, ukuqapha kwabantu, kanye nokulawulwa kwekhwalithi ukuvimbela ubuthakathaka, amaphutha asakazekile, kanye nokuthembela ngokweqile kubahlinzeki be-SaaS. Ngesikhathi esifanayo, kuvula umnyango wokwakha izinhlelo eziguquguqukayo nezizimele, kunciphisa ukuvalelwa ngaphakathi futhi kuthanda imikhiqizo eyenziwe ngokwezifiso kumapulatifomu avulekile, ahlanganisiwe.
Ngesikhathi esifanayo, ifu lingena esigabeni esingu-3.0 lapho izakhiwo zamafu ezihlanganisiwe, amafu amaningi, azimele, kanye nezamafu azimele zihlala ndawonye njengokujwayelekile . I-AI enkulu ayikwazi ukuthembela kuphela efwini lomphakathi lendabuko; idinga izakhiwo ezisatshalaliswe, ukubambezeleka okuphansi kakhulu, kanye nokubala okusemaphethelweni okuhambisana nezikhungo zedatha. Ukuphazamiseka okukhulu kanye nokungezwani kwezepolitiki kusunduza izinhlangano emasu okuhlukahluka kwamafu amaningi, azimele, kanye nabathengisi.
Izinhlelo zebhizinisi nazo ziyashintsha kusukela ezindaweni zokugcina amarekhodi ezilula kuya ezinjini zokusebenza ezisebenzayo nezihlakaniphile . Ngenxa yama-ejenti e-AI afakwe ezinqubweni ezibalulekile (ezezimali, uchungechunge lokuhlinzeka, i-HR, isevisi yamakhasimende), izinkampani zingashintsha kusukela ezenzakalelayo ezizimele ziye ekuhleleni uchungechunge lwenani oluphelele, ngokuqapha okuqhubekayo, isixazululo esihlukile, kanye nokuthuthukiswa okuguquguqukayo okuqhutshwa idatha.
Konke lokhu kuyingxenye yendlela ecacile: ubuchwepheshe abuseyona iqoqo lezingxenye ezizimele kodwa “isistimu yokusebenza yebhizinisi ” ehlanganisiwe. Inzuzo yokuncintisana ngeke isavela ngokuba namaphrojekthi amaningi, kodwa ekuqinisekiseni ukuthi i-AI, ukuzenzekela, ama-API, ukubalwa kwamafu, ukuphepha, ukubonwa, kanye nedatha kusebenza ndawonye njengento ehlangene, elawulwa futhi ehambisana nezilinganiso zebhizinisi.
Ukubusa, imithethonqubo kanye nobukhosi bezobuchwepheshe: i-AI ngaphansi kwesibonakhulu
Indawo yokulawula iya ngokuya iba nzima futhi ithatha indawo ephambili . Imithethonqubo efana ne-European AI Act, i-NIS2, i-DORA, i-CRA, i-CSRD, kanye neminye imithethonqubo ethile yomkhakha izoguqula ukubusa, ubungozi, kanye nokuphepha kusuka "emikhuba emihle" kube yizidingo zokusebenza. Izinkampani kuzodingeka zibhale phansi idatha eziyisebenzisayo, amamodeli eziwasebenzisayo, kanye nomqondo ongemuva kwezinqumo zazo ezizenzakalelayo.
Ukuphathwa kwe-AI kuguqukela kumamodeli aguquguqukayo asekelwe ku-AI TRiSM (Trust, Risk, and Security Management) , ehlanganisa izinqubomgomo, izilawuli, izinqubo, namathuluzi okuqapha ukucwasa, imibono engekho, ukuvuza kwedatha, ukusetshenziswa kabi, kanye nokuphambuka kokusebenza ngesikhathi sangempela. EYurophu, ukungezwani phakathi kokusungula izinto ezintsha kanye nokuhambisana kuzoba kukhulu: ukuqina ngokweqile kungavimbela ukuncintisana uma kuqhathaniswa nezifunda ezingalawulwa kahle.
Kulesi simo, ubukhosi bezobuchwepheshe, obuqondwa ngokuthi "ukuthembela okuqinile," buzuza ukubaluleka . Esikhundleni sokufisa ukuzimela okuphelele (okungenangqondo ezweni elixhumene kakhulu), ohulumeni nezinkampani bagxila ekulawuleni izendlalelo ezibalulekile zeketanga lenani ledijithali: ama-semiconductors, idatha, amamodeli e-AI, ingqalasizinda yamafu azimele, kanye nezindinganiso ezivulekile ezivumela ukushintshana okungenamthungo kwabahlinzeki.
Ukuphathwa kwedatha okuhlanganisiwe nakho kuyasungulwa njengesibonelo sokwabelana ngolwazi phakathi kwezinhlangano ngaphandle kokulahla ubukhosi bedatha noma ukuhlanganisa izindawo zokugcina idatha ngokomzimba. Le ndlela, ehlanganiswe nezakhiwo ezihlanganisiwe nama-API achazwe kahle, iyisivikelo esibalulekile sobuchwepheshe bezinhlelo zemvelo zama-ejenti abambisana kudatha esabalaliswe ngokuphephile nangokuhlola.
Umphumela oqondile ukuthi ijubane lokusetshenziswa kobuchwepheshe lizoncipha ezimweni eziningi , kodwa ngenxa yalokho, ukuqiniseka ngokomthetho, ukulandeleka, kanye nokwethenjwa kuzokhula. Imakethe izoqala ukuhlukanisa ngokucacile phakathi kwezixazululo zesofthiwe ezingathi sína, ezihlolwayo, nezihambisanayo kanye "nezibuko" ezingakwazi ukumelana nokuhlolwa okunzima kwemithetho.
Ukuphepha, ubuwena kanye nokuvalelisa buthule amaphasiwedi
Ukuphepha kwe-inthanethi nakho kungena esigabeni soshintsho olukhulu . Ubukhulu, isivinini, kanye nobuchwepheshe bokuhlaselwa kwenza kube nzima ukugcina imodeli esabelayo ngokusekelwe ekuhlaziyweni okwenziwa ngesandla. Ukuzivikela kuqala ukuhamba "ngesivinini somshini," kuncike ku-AI ukuthola okungahambi kahle, ukuhlanganisa imicimbi, nokuhlela izimpendulo ezenzakalelayo, kuyilapho amaqembu abantu egxila esu, ekubuseni, kanye nasekuphathweni kwezigameko eziyinkimbinkimbi.
Esigabeni sokufinyelela, ubunikazi buba umngcele omusha wokuphepha . Ukwanda kwezinhlelo zokusebenza ze-SaaS, umsebenzi osatshalaliswe, kanye nokuxhumana okubanzi kudinga ukuvikelwa okuhlanganisiwe okuzungeze abasebenzisi, amadivayisi, kanye nezinsizakalo, kunokuba kube amanethiwekhi omngcele. I-Zero Trust iguqukela kumamodeli angokomongo nasebenzayo, lapho ukufinyelela ngakunye kuqinisekiswa ngokuqhubekayo ngokusekelwe ekuziphatheni, endaweni, engcupheni, kanye nokuzwela kwezinsiza.
Enye yezinguquko ezibonakala kakhulu ezingeni lomsebenzisi kuzoba ukushona kancane kancane kwephasiwedi yendabuko . Ama-passkey, asekelwe ku-cryptography yokhiye womphakathi, azoba yindlela eyinhloko yokuqinisekisa: ukhiye oyimfihlo uhlala kudivayisi yomsebenzisi futhi uvuliwe kusetshenziswa i-biometrics (iminwe, ukuqashelwa kobuso), kuyilapho iseva ithola ubufakazi bezibalo kuphela bokuthi ungubani, okwenza ukuhlaselwa okuningi kwe-phishing okusekelwe ekwebiweni kweziqinisekiso kungasebenzi.
Lokhu kuthuthuka kuhambisana namamodeli okuphathwa kobunikazi nokufinyelela (i-IAM) athuthukile kakhulu , kanye nokuphepha okuqinisiwe kuchungechunge lokuhlinzekwa kwesofthiwe kanye nabathengisi bangaphandle. Ukuqapha kweqembu lesithathu, ukuhlolwa okuqhubekayo, kanye nezivumelwano zesivumelwano neziqinisekiso zokuphepha kwe-cyber kuzobaluleka kakhulu ekuvimbeleni ukwephulwa okuvela kuma-vector angaphandle.
Ukwakhiwa kwe-API kuqala, i-hyperautomation kanye "nensizakalo njengesofthiwe"
Ukuhlanganiswa sekuyinto ebaluleke kakhulu . Imikhakha efana neyamabhange, umshwalense, amandla, ukuthengisa, ukunakekelwa kwempilo, kanye nomkhakha womphakathi ithola nsuku zonke ukuthi ukuhlukana kobuchwepheshe kanye nezinhlelo zesikhathi esidlule ezihlukanisiwe ziphakathi kwezithiyo ezinkulu ekusungulweni kwezinto ezintsha. Impendulo iwukwamukelwa kabanzi kwezakhiwo ze-API-first kanye namapulatifomu okuhlanganisa avumela amabhizinisi ukuthi adalule amakhono awo njengezinsizakalo ezingaphinde zisetshenziswe.
Ngesikhathi esifanayo, i-hyperautomation iyasungulwa njengendlela ewusizo yokukhulisa ukusebenza kahle ngaphandle kokwandisa ingqalasizinda . Ngokuhlanganisa i-AI, i-RPA, i-BPM, ama-API, i-analytics, kanye ne-orchestration, izinhlangano ziyasuka ekwakheni ama-bots ahlukene ezinqubo ezingaphansi kwemingcele futhi ziye ezinhlelweni eziphelele ezenza ngokuzenzakalelayo imisebenzi yokusebenza kusukela ekuqaleni kuya ekugcineni, ikakhulukazi emikhakheni elawulwayo lapho amaphutha esandla ebiza khona.
Lolu shintsho luhambisana nemodeli entsha yokusebenzisa isofthiwe esingayibiza ngokuthi "isevisi njengesofthiwe ." Ngale kwemodeli ye-SaaS yokukhokha ngelayisense noma ngomsebenzisi ngamunye, kuvela izinhlelo lapho ukukhokhiswa kusekelwe emiphumeleni: ngedokhumenti ngayinye ecutshungulwayo, ngokuthengiselana ngakunye okulungisiwe, ngomsebenzi ngamunye oqediwe, noma ngecala lokusekela elixazululwa ngokuzenzakalelayo. Esiteshini se-IT, lokhu kuvula amathuba ebhizinisi agxile emiphumeleni elinganisekayo, ehambisana nezinhloso zeklayenti.
Ngaphezu kwalokho, i-ERP kanye nezinye izinhlelo eziyinhloko ziguquka zibe izinguqulo "ezisebenzayo" ezisizwa yi-AI ejensi . Imisebenzi eminingi yasehhovisi (ukubalwa kwezimali, ukukhokha ama-invoyisi, ukubuyisana, ukuphathwa kwamadokhumenti) cishe izenzeka ngokuzenzakalelayo ngokuphelele, okukhulula abasebenzi ukuthi bagxile ekuphathweni okuhlukile kanye nokwenza izinqumo zamasu. Lezi akuzona "izinkampani ezingenabo abantu," kodwa kunalokho izinhlangano lapho ithalente labantu ligxile khona lapho lenezela khona inani elikhulu.
Ukwenziwa kwentando yeningi kwentuthuko ngamapulatifomu anekhodi ephansi kanye nengenakhodi nakho kuya ngokuya kuthandwa , okuvumela amayunithi ebhizinisi ukuthi azakhele izinhlelo zokusebenza zawo kanye nemisebenzi ngaphansi kokuphathwa kwe-IT. Lokhu kusheshisa ukusungula izinto ezintsha kwangaphakathi, yize kudinga ukuphepha okucacile, ikhwalithi, kanye nezinhlaka zokuthobela imithetho ukuvimbela "i-IT engabonakali" engalawuleki.
Ingqalasizinda, amandla kanye ne-GreenOps: imikhawulo ebonakalayo ye-AI
Ukwanda kwe-AI kusunduza ingqalasizinda kuze kufike emikhawulweni yayo . Ukuqeqeshwa okukhulu kanye nokusabalalisa amamodeli kudinga amandla amakhulu okusebenzisa ikhompyutha kanye nomthamo wokupholisa, okugqamisa umthombo owawuthathwa kalula ngaphambilini: amandla. Ingxoxo yezobuchwepheshe isiqala ukushintsha kusukela "kungakanani amapharamitha imodeli enawo" kuya "kungakanani ama-watts ewasebenzisayo ngeyunithi yenani elikhiqizwe."
Ezingeni lehadiwe, i-NPU isiba yincazelo ejwayelekile kuma-PC nakumadivayisi eselula . Amakhompyutha "asebenzisa i-AI" ngeke esaba umnikelo wekhwalithi ephezulu kodwa abe yimfuneko eyisisekelo, njengoba ukusebenzisa ama-ejenti namamodeli kunciphisa ukubambezeleka endaweni, kuthuthukisa ubumfihlo, futhi kunciphisa umthwalo othile efwini. Lapho kuthuthukiswa amakhompyutha edeskithophu noma e-laptop, amakhono okubala i-AI azoba abalulekile njenge-RAM noma isitoreji.
Isidingo sememori ye-DRAM kanye ne-NAND flash esebenza kahle kakhulu yezikhungo zedatha ze-AI sinciphisa uchungechunge lokuhlinzeka futhi sinyusa amanani ezingxenye . Abakhiqizi babeka phambili imigqa yokukhiqiza iseva kunamadivayisi abathengi, okungaholela emananini aphezulu noma ekuncipheni kwesitoko kwezinhlelo zememori ezinamandla aphezulu kubasebenzisi bokugcina.
Kulesi simo, indlela ye-GreenOps yokuphathwa kwamafu nengqalasizinda iyanda . Akusanele ukwenza ngcono izindleko zezimali; ukunyatheliswa kwekhabhoni, ukusetshenziswa kwezinsiza kusebenza kahle, kanye nokuhambisana nezinhloso ze-ESG nakho kumele kucatshangelwe. Ukusimama kuba yi-KPI ebalulekile ku-CIO, futhi abaholi bezobuchwepheshe kumele bathethelele yonke i-kilowatt-hora esetshenziswayo, belinganisa umthwalo wemisebenzi phakathi kwamafu, umkhawulo, kanye nendawo.
Okungeziwe kulokhu ukufika kwezinto ezintsha ekugcinweni kwamandla, njengamabhethri e-silicon-anode kanye nezinhlelo zokusebenza zokuqala ze-solid-state zezentengiselwano zokusetshenziswa ngobuningi. Ubuningi bamandla azo buzokwenza amadivayisi eselula abe nokuphila kwebhethri langempela kwezinsuku ezimbili kanye nezimoto zikagesi ezilula ezinobubanzi obukhulu, kanye nokusekelwa kokushaja okusheshayo kakhulu ngokuncipha kokonakala, ngaleyo ndlela kuncishiswe ukukhathazeka kobubanzi.
Ukuxhumana okuthuthukisiwe: I-WiFi 7 kanye nokumbozwa kwesathelayithi okuqondile
Amanethiwekhi nawo athatha isinyathelo esibalulekile ukusekela lolu hlu olusha lwezinsizakalo zedijithali . I-WiFi 7 izoba yindinganiso evelele yama-router, ama-smartphone, nama-laptop, hhayi nje ngenxa yesivinini sayo esisheshayo kodwa futhi nezinguquko zezakhiwo ezifana ne-Multi-Link Operation (MLO), evumela ukusetshenziswa kwama-band amaningi ngasikhathi sinye, kunciphisa ukubambezeleka futhi kuthuthukiswe ukuzinza ngisho nasemakhaya agcwele amadivayisi.
Ngale ntuthuko, ukuxhumeka kwefayibha ye-1 Gbps ngeke kusaphazanyiswa amanethiwekhi amadala e-Wi-Fi . Ukusakaza kwe-8K, i-mixed reality, imidlalo yamafu, kanye nokuhlangenwe nakho okujulile kuzosebenza ngaphandle kokuphazamiseka okuqhubekayo, okuqinisa umbono wokuthi inethiwekhi "isebenza nje" - okubalulekile lapho imisebenzi ebaluleke kakhulu incike ekuxhumekeni okungenantambo. Ukuze ufunde ukuthi ukuxhumana kwasekhaya kushintsha kanjani, kungcono ukubheka umhlahlandlela ophelele we-ADSL kanye nefayibha.
Ngesikhathi esifanayo, ukuqaliswa kwezinsizakalo ze-Direct-to-Cell kwezentengiselwano kuyaqala, okuvumela omakhalekhukhwini ukuthi baxhumane ngqo namasathelayithi azungeza uMhlaba ophansi . Ekuqaleni kwakugxile ekuthumeleni imiyalezo kanye nokuxhumana okuphuthumayo ezindaweni ezingenazo izindawo zomhlaba (izintaba, ulwandle, izindawo zasemakhaya ezikude), kuphawula ukuqala kokuphela kwezindawo "ezingenasiginali" njengoba sizazi namuhla.
Amamodemu amasha azokwazi ukushintsha ngokuzenzakalelayo phakathi kwemibhoshongo yamaseli namasathelayithi, okuqinisekisa izinga eliphansi lenkonzo ngisho nangaphansi kwezimo ezimbi. Ngesiteshi se-IT, lokhu kuvula amathuba ezixazululweni ze-IoT ezikude, ukuqapha okusatshalaliswayo, kanye nezinsizakalo ezibalulekile zesikhathi sangempela emikhakheni efana nokuthutha, amandla, ezokuthutha, kanye nokuphepha.
Amacala okubhekisela kuwo kanye nokubekwa kwabadlali abakhulu be-ICT
Izinkampani ezinkulu ze-ICT zithatha izinyathelo zokulungiselela lesi simo esisha . Abasebenzi bezingqalasizinda abahlanganyelwe, njengabaphathi benethiwekhi yemibhoshongo kanye nezokuxhumana, batshala imali ezenzakalelayo ezithuthukisiwe, ukuhlaziywa kwedatha ngesikhathi sangempela, kanye nokubambisana nabahlinzeki be-AI ukuthuthukisa ukuqina kwezimpahla zabo ezimweni zesimo sezulu kanye nokwanda kwethrafikhi.
Abaqhubi bezokuxhumana abahlanganisiwe basebenzisa izinhlelo zamasu zeminyaka eminingi zokuthuthukisa amanethiwekhi, ukuqeda ubuchwepheshe obudala, nokusebenzisa i-AI ukuze kusebenze ngokuzenzakalelayo imisebenzi, ukwenza izinsizakalo zibe ngezomuntu siqu kakhulu, nokuthuthukisa ulwazi lwamakhasimende. Umgomo ukunciphisa kakhulu izindleko zokusebenza, ukwandisa imali engenayo ye-B2B, nokuzibeka njengabaholi kwezokuphepha kwe-cyber, ukubalwa kwamafu, kanye nokusebenzisa i-AI.
Izinkampani ezinkulu zomhlaba wonke zokubonisana, zona ngokwazo, ziphakamisa izinhlaka ezifana ne-TechnoVision ukusiza izinhlangano ukuthi zenze izinqumo zobuchwepheshe ngokusekelwe ezindinganisweni zebhizinisi . Umyalezo wazo ucacile: i-AI ekhiqizayo kanye ne-AI ejenti kumele kuhlanganiswe ngaphakathi kwezakhiwo eziqinile, kugxilwe kakhulu ekuphathweni kwedatha, ubukhosi bezobuchwepheshe, kanye nokuhlelwa kabusha kwezinqubo eziya emisebenzini ehlakaniphile.
Ezinye izinkampani ezigxile ekuthuthukisweni kwesimanje, ukusebenzisana, kanye ne-hyperautomation zigcizelela ukuthi isihluthulelo asisagcini nje ngokungeza amathuluzi engeziwe, kodwa kunalokho siwahlanganisa, siwalawule, futhi siwakhulise ngesiyalo . Ukwakhiwa kwebhizinisi, ama-API, ukubonwa, i-FinOps, kanye nokuphathwa kwezingozi akuseyona "imininingwane yobuchwepheshe" kodwa sekuyizimo ezibalulekile ze-AI kanye ne-automation ukuze kugwenywe ukubhajwa ezinhlelweni zokuhlola ezingapheli.
Izinkampani zokubonisana zesifunda kanye nabahlinzeki bezixazululo zebhizinisi nabo baqokomisa ukuhlanganiswa kwamamodeli e-AI athile esizinda , akwazi ukunciphisa ukukhohlisa, ukuzivumelanisa nemithethonqubo yomkhakha, kanye nokwenza ngcono ukusetshenziswa kwamandla. Amamodeli amancane, acwengisiswe kusetshenziswa idatha yobunikazi kanye namagama athile, azohambisana namamodeli amakhulu, ajwayelekile ukuze ahlangabezane nezidingo ezahlukahlukene ngempumelelo.
Unyaka ka-2026 uphawula ukuguquka kobudlelwano phakathi kwesiteshi se-IT, i-AI, kanye nebhizinisi : ubuhlakani bokwenziwa buqala ukuba umgogodla wezakhiwo zebhizinisi, ifu liyasabalala kakhulu futhi libusa, ukuphepha kuyashintsha kuye ekutholakaleni kobunikazi kanye nokubona okusebenzayo, izakhiwo ziya ngokuya zihlanganiswa futhi ziqhutshwa yi-API, futhi amandla kanye nokusimama kuba yimingcele yokuklama. Izinhlangano ezingahlela zonke lezi zinto njengohlelo olulodwa, olusekelwa isiteshi se-IT esivuthiwe, esilawulwayo esiqondiswe kumasevisi, yizo ezizokwenza umehluko wokuncintisana eminyakeni eyishumi ezayo.
