izibikezelo zebhizinisi zango-2030 | Umugqa wesikhathi wesikhathi esizayo

Funda izibikezelo zebhizinisi zika-2030, unyaka ozobona umhlaba wamabhizinisi ushintsha ngezindlela ezizoba nomthelela ezinhlobonhlobo zemikhakha—futhi sihlola eziningi zazo ngezansi.

I-Quantumrun Foresight walungisa lolu hlu; Inkampani yezokubonisana ngekusasa esebenzisa amasu okubona kusengaphambili ukuze isize izinkampani zichume kusukela kumathrendi azayo. Lesi ngesinye nje sezinto eziningi ezingase zibe khona umphakathi esikhathini esizayo.

izibikezelo zebhizinisi zango-2030

Ngalo nyaka, kufika ku-40% wezitolo zemigwaqo emikhulu (uma kuqhathaniswa no-2019) eSweden naseFinland zibhekene nokuvalwa ngenxa ye-e-commerce. Amathuba: Amaphesenti angu-1001
IGermany inqabela izimoto zikaphethiloli ovuthayo, ivumela kuphela ukuthengiswa kwezimoto zikagesi ukuya phambili. 1

Ngo-2030, inani lempumelelo yebhizinisi namathrendi azotholakala emphakathini, isibonelo:

Izimoto ezingaphezu kuka-45% ezithengiswa eCanada manje sezisebenza ngogesi. Amathuba: 70% 1
IGermany inqabela izimoto zikaphethiloli ovuthayo, ivumela kuphela ukuthengiswa kwezimoto zikagesi ukuya phambili. 1

Izibikezelo ezihlobene nebhizinisi ngenxa yokuba nomthelela ngo-2030 zifaka:

I-Automation iwukukhipha okusha

Izindatshana zobuchwepheshe ezihlobene zango-2030:

Ama-nanobots asizayo kwezokwelapha: Hlangana nama-micro-medics.

I-AI ithuthukisa imiphumela yesiguli: Ingabe i-AI isisebenzi sethu sezempilo esingcono kakhulu okwamanje?.

I-AI isheshisa ukutholwa kwesayensi: Usosayensi ongalali.

Ukuqamba okusizwayo: Ingabe i-AI ingathuthukisa ubuhlakani bomuntu?

Amawele edijithali omuntu siqu: Iminyaka yama-avatar aku-inthanethi.

I-Deepfakes yokuzijabulisa: Lapho ama-deepfakes eba ukuzijabulisa.

Ezokuvakasha ezinomthelela: Uma abavakashi befaka isandla ekuthuthukisweni komphakathi.

Amanethiwekhi adversarial akhiqizayo (ama-GAN): Iminyaka yemidiya yokwenziwa.

Amanethiwekhi e-neural ajwayelekile (ama-RNN): Ama-algorithms aqagelayo angalindela ukuziphatha komuntu.

I-Convolutional neural network (CNN): Ifundisa amakhompyutha ukuthi angabona kanjani.

Amarobhothi emolekyuli: Lawa marobhothi amancane angenza noma yini.

Ubuncane bentela yomhlaba wonke: Ukwenza izindawo zokukhosela zentela zingabukeki kangako.

Izikhangiso ze-VR: Umngcele olandelayo wokumaketha umkhiqizo.

Ukuchofoza izitini: Ibhalansi ekhohlisayo phakathi kwezitolo eziku-inthanethi nezenyama.

Umshwalense wezempilo weBlockchain: Ukubhekana nezinselele ekuphathweni kwedatha.

Abadwebi bamarobhothi abazimele: Ikusasa lokudweba odongeni.

I-Hempcrete: Ukwakha ngezitshalo eziluhlaza.

Ukugebenga kukahulumeni okucasulayo: Uhlobo olusha lwempi yedijithali.

Umsebenzi we-AI-augmented: Ingabe izinhlelo zokufunda zomshini zingaba umlingani wethu weqembu ongcono kakhulu?

Ukulandelela ukulethwa nokuphepha: Izinga eliphezulu lokubonisa izinto.

Ukuhlaziywa kokuqukethwe kwesikali sewebhu: Ukwenza umqondo wokuqukethwe ku-inthanethi.

Ukuzenzakalela kwabasebenzi: Izisebenzi ezingabantu zingahlala kanjani zibalulekile?

Ikhompuyutha engenaseva: Ukuphathwa kweseva ye-Outsourcing.

Ukumbiwa kwesihlabathi: Kwenzekani uma isihlabathi sesiphelile?.

I-AI efwini: Izinsizakalo ze-AI ezifinyelelekayo.

Ukuvakasha kwezindlu ezingokoqobo: Iminyaka yokuvakasha kwezindlu okugxilile.

Ukuqasha phezu kobunikazi: Inkinga yezindlu iyaqhubeka.

Iziphathimandla zentela zibhekise kwabampofu: Lapho kubiza kakhulu ukuthela abacebile intela.

I-automation yokuhlola abacebile: Ingabe i-AI ingaletha abagwema intela emgqeni?.

I-Crypto yenza izintela zibe zesimanje: Ingabe izintela ekugcineni zingaba sobala futhi zibe lula?

Buka wonke amathrendi angu-2030

Zitholele okuthrendayo komunye unyaka ozayo usebenzisa izinkinobho zomugqa wesikhathi ngezansi

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