Inguqu yedijithali yoThutho kaloliwe: Inguqu ekusebenzeni kakuhle, ukhuseleko, kunye namava abakhweli.
Kwiminyaka yakutshanje, idijithali yohambo kaloliwe ithe yasebenza kwithuba elitsha lenkqubela phambili yetekhnoloji, iphinda iphinde iqhubeke ngokubonakalayo kumzi mveliso wokuhamba. Olu tshintsho lubandakanya itekhnoloji yokutshixiza enje ngenjongo yokuqulunqwa (AI), i-Intanethi yezinto (IOI), iinkqubo zolwazi zejografi (i-GIS), kunye namawele edijithali. Ezi zicelo ziyintsha ziguqule iinkalo ezahlukeneyo zohambo lololiwe, kubandakanya nolawulo lwezibonelelo, ukusebenza kakuhle, iinkonzo ezisebenzayo, kunye nokhuseleko lwenkqubo ngokubanzi. Njengezixeko zehlabathi zilwela izisombululo zokuhamba ngobuchule, ukudityaniswa kwetekhnoloji yedijithali kwi-Rail Trait iye yaba linyathelo ebalulekileyo ekufezekiseni ukufezekisa uzinzo kunye nokusebenza kakuhle.
Ukuphucula imisebenzi yohambo kunye nokhuseleko
Elinye lelona tshintsho limangalisayo ezenziwa ngotshintsho lwedijithali lolona lonwabo lokuhamba kukaloliwe. Inkqubo yokubekwa kweliso esweni kunye neenkqubo zolawulo ezixhotyiswe yi-AI ye-AI iphucule kakhulu ukusebenza kweenethiwekhi zololiwe, ukunciphisa ukuphazamiseka kunye nokwandisa intsebenzo. Ulondolozo oluqikelelwayo, luxhotyiswe ziinzwa ze-AI kunye ne-IOI, sele lungumdlalo-otshintsha umdlalo ngokufumana ukusilela kwezixhobo ezinokubakho ngaphambi kokuba zenzeke. Le ndlela esebenzayo inciphisa ixesha lokuphumla, yandisa i-Lifepan ye-Ofisi kaloliwe, kwaye iqinisekisa ukuthembeka kweenkonzo zothutho.
I-IOILLS idlala indima ebalulekileyo ekuqokelweni kwedatha yexesha lokwenyani, ukubonelela ngokuqonda okuxabisekileyo kwiiShedyuli zoQeqesho, ukusetyenziswa kwamandla, kunye nempilo yenkqubo yenkqubo. Olu ncedo luqhutywa ngedatha lubenza ukuba abasemagunyeni bagqibezela ukuqhubela phambili, banciphise inkunkuma yamandla, kunye nokomeleza ukhuseleko lwabakhweli. Ukongeza, iinkqubo zokubeka iliso ezenzekelayo ezenzekelayo ziqhuba iimpendulo ezikhawulezayo kwiimeko zikaxakeka, ezomeleza ukhuseleko lwenethiwekhi kaloliwe.
Ukuguqula amava abakhweli nge-digital
Abakhweli, idijithali yohambo kaloliwe iphucule lula ngokulula, ukhuseleko. Ukwamkelwa kweenkqubo zokuhlawula ezingenamdla, ukungqinisisa kwe-biometric, kunye ne-qrketing yekhowudi ye-QR iye yalungelelanisa iinkqubo zokungena, ukunciphisa uxinzelelo kunye nokuphucula amava omqhubi ngokubanzi. Izixeko ezininzi ziphumeze ngempumelelo itekhnoloji yokuqinisekiswa kwetekisi yokuqinisekisa ukuqinisekiswa, ukuvumela abakhweli ukuba bangene kwiqela elinolibaziseko oluncinci.
Ezi zicelo zingekhe ziphucule ukusebenza ngokuphuculwa kwezempilo kodwa nenkxalabo zempilo, ngakumbi ekuvukeni kweengxaki zempilo yehlabathi. Inguqu kwitrasti engapheliyo nelingenasiphango inciphise indlela yokunxibelelana ngokomzimba, eyenza uhambo lokuhamba kaloliwe olukhuselekileyo kunye nococeko ngakumbi. Ngaphaya koko, ulwazi lwexesha lokuhamba kwexesha lokuhamba, lufikeleleke kusetyenziswa izicelo zeselula kunye nokuboniswa kwedijithali, ukuxhobisa abakhweli ngeenkcukacha zohambo oluhlaziyiweyo, qinisekisa amava ohambo olungenamthungo.
Amathuba oShishino kwiCandelo leDijithali leDijithali yeCandelo leDijithali ICandelo lokuThutha lidlala indima ebaluleke kakhulu kuphuhliso lwezibonelelo zothutho lwesizwe kwaye iba lelinye lawona macandelo aphumeleleyo. Intsokothi enkulu yeenkqubo zokuhamba kukaloliwe, ezidityanisiweyo kunye nefuthe labo kumashishini amaninzi, lidale amathuba amaninzi eshishini. Abaxhamli abaphambili babandakanya iinkampani ezikhethekileyo zokuhamba ngobukrelekrele, i-cyberbecurity, iteknoloji ye-dydne, i-Sennetions, kunye nezisombululo zokuphononongwa. Njengoko ishishini lololiwe liyaqhubeka nokuvela, amashishini afumana inguqu edityisiweyo amele umda okhuphiswano kwimarike eyandayo ngokukhawuleza. Imfuno eyandisiweyo yokufumana iliso lokhuseleko lwe-AI, iinkqubo zokugcwala ezenzekelayo, kunye nolawulo lwezibonelelo ze-smart zibonisa amashishini afakelweyo amashishini aqhutywa ngobuchwephesha. Ikamva le-Digital Rail: umbono owaziwayo noluzinzileyo wokugcinwa nokusebenza kweenkqubo zokuhamba kukaloliwe ziye zabona izinto ezimangalisayo ngenxa yenguqu yedijithali. Ngokwesiko, isondlo esixhomekeke kuhlolo lwencwadi, esasichitha ixesha kwaye sithambekele kwimpazamo yomntu. Nangona kunjalo, i-AI-eqhutywa i-AP ACHEDICS kunye neenkqubo zokubeka iliso ezisekwe kwi-IOT zinendlela yokulungisa yokulungisa, ukuqinisekisa ukusebenza kakuhle kunye nemigangatho yokhuseleko ephucukileyo. Umzekelo, iSingapore kunye nezinye izizwe eziphezulu zetekhnoloji ziye zathunyelwa ngempumelelo iinkqubo zokuhlolwa kwe-drone kwii-jennes. Ezi rones zixhotywe ngengcinga eziphezulu zokucinga kunye nohlalutyo oluxhotyisiweyo, zivumela ukuba kufunyaniswe ngokuchanekileyo kwe-anolies yesakhiwo kunye neengozi ezinokubakho. Le ndlela imbonakalo yokuphucula ayiphumi nje kuphela impumelelo yokuhlola kodwa ikwaphucula ukhuseleko ngokunciphisa ukuvezwa komntu kwiindawo ezinobungozi. Inguqu yedijithali yohambo kaloliwe ibambe ithuba elinokubakho kwikamva. IiZixeko kwihlabathi liphela zisebenzisa iindlela zokukhangela olu tshintsho, olujolise ekunciphiseni iindleko, ukongeza ukusebenza ngokukuko, kunye nokufezekisa okuphezulu.
IXESHA LOKUQALA: FEB-07-2025