Impendulo emfushane: Inkampani ye-AI yileyo emkhiqizo wayo oyinhloko, inani, noma inzuzo yokuncintisana encike ku-AI - susa i-AI bese ukunikezwa kuyawa noma kube kubi kakhulu. Uma i-AI yehlulekile kusasa futhi usengakwazi ukuletha ngamaspredishithi noma isofthiwe eyisisekelo, kungenzeka ukuthi unikwe amandla yi-AI, hhayi i-AI. Izinkampani ze-AI zangempela ziyahlukahluka ngedatha, ukuhlolwa, ukuthunyelwa, kanye nezihibe zokuphindaphinda eziqinile.
Izinto ezibalulekile okufanele uzicabangele:
Ukuthembela okuyinhloko : Uma ukususa i-AI kuphula umkhiqizo, ubheke inkampani ye-AI.
Isivivinyo esilula : Uma ungakwazi ukuxhuga ngaphandle kwe-AI, kungenzeka ukuthi unikwe amandla e-AI.
Izimpawu zokusebenza : Amaqembu axoxa ngokuzulazula, amasethi e-eval, ukubambezeleka, kanye nezindlela zokwehluleka avame ukwenza umsebenzi onzima.
Ukumelana nokusetshenziswa kabi : Yakha izinhlelo zokuvikela, ukuqapha, kanye nokubuyisela emuva lapho amamodeli ehluleka.
Ukucophelela komthengi : Gwema ukuhlanza i-AI ngokusebenzisa izindlela ezifunwayo, izilinganiso, kanye nokuphathwa kwedatha okucacile.
“Inkampani ye-AI” ixoshwa ngokukhululeka kangangokuthi ibeka engcupheni yokusho konke futhi ingasho lutho ngesikhathi esisodwa. Enye inkampani entsha ithi isimo se-AI ngoba yengeze ibhokisi lokuqedela ngokuzenzakalela. Enye inkampani iqeqesha amamodeli, yakha amathuluzi, ithumela imikhiqizo, futhi iwasebenzise ezindaweni zokukhiqiza… futhi isafakwa ebhakedeni elifanayo.
Ngakho-ke ilebula idinga imiphetho ebukhali. Umehluko phakathi kwebhizinisi eliyi-AI kanye nebhizinisi elijwayelekile elinothuli oluncane lokufunda komshini ubonakala ngokushesha uma usuwazi ukuthi yini okufanele uyibheke.
Izihloko ongase uthande ukuzifunda ngemva kwalesi:
🔗 Indlela okusebenza ngayo ukukhuliswa kwe-AI
Funda ukuthi amamodeli anezela kanjani imininingwane ukuze akhulise izithombe ngendlela ehlanzekile.
🔗 Indlela ikhodi ye-AI ebukeka ngayo
Bheka izibonelo zekhodi ekhiqizwe kanye nendlela ehlelwe ngayo.
🔗 Kuyini i-algorithm ye-AI?
Qonda ama-algorithm asiza i-AI ukuthi ifunde, ibikezele, futhi ithuthukise.
🔗 Kuyini ukucubungula kwangaphambili kwe-AI?
Thola izinyathelo ezihlanza, zilebule, futhi zifomethe idatha yokuqeqeshwa.
Ukuthi iNkampani ye-AI iyini: incazelo ehlanzekile ehlala njalo ✅
Incazelo ewusizo:
Inkampani ye-AI yibhizinisi elinomkhiqizo oyinhloko, inani, noma inzuzo yokuncintisana encike ekuhlakanipheni okwenziwe - okusho ukuthi uma ususa i-AI, "into" yenkampani iyawa noma iba yimbi kakhulu. ( OECD , NIST AI RMF )
Hhayi ukuthi “sake sasebenzisa i-AI ku-hackathon.” Hhayi ukuthi “sengeze i-chatbot ekhasini lokuxhumana.” Okunye okufana nalokhu:
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Lo mkhiqizo uwuhlelo lwe-AI (noma luqhutshwa yi-end-to-end eyodwa) ( OECD )
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Ubuhle benkampani buvela kumamodeli, idatha, ukuhlolwa, kanye nokuphindaphinda ( i-Google Cloud MLOps , i-NIST AI RMF Playbook - Measure )
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I-AI ayiyona into ebalulekile - yinjini 🧠⚙️
Nasi isivivinyo esilula:
Cabanga nge-AI ihluleka kusasa. Uma amakhasimende ebesazokukhokhela futhi ungaxhuga ngamaspredishithi noma isofthiwe eyisisekelo, kungenzeka ukuthi usebenzisa i-AI, hhayi i-AI.
Futhi yebo, kunendawo ephakathi efiphele. Njengesithombe esithathwe ngefasitela elinenkungu... akuyona into enhle kakhulu, kodwa uyawuthola umqondo 😄
Umehluko phakathi “kwenkampani ye-AI” nenkampani “esebenzisa i-AI” (le ngxenye igcina izingxabano) 🥊
Amabhizinisi amaningi anamuhla asebenzisa uhlobo oluthile lwe-AI. Lokho kukodwa akuwenzi abe yinkampani ye-AI. ( OECD )
Ngokuvamile inkampani ye-AI:
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Ithengisa ikhono le-AI ngqo (amamodeli, abashayeli bezindiza abangochwepheshe, ukuzenzekela okuhlakaniphile)
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Yakha izinhlelo ze-AI ezizimele njengomkhiqizo oyinhloko
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Inobunjiniyela obukhulu be-AI, ukuhlolwa, kanye nokusetshenziswa kwayo njengomsebenzi oyinhloko ( i-Google Cloud MLOps )
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Ifunda idatha ngokuqhubekayo futhi ithuthukisa ukusebenza njengesilinganiso esiyinhloko 📈 ( Iphepha Elimhlophe le-Google MLOps )
Ngokuvamile inkampani esebenzisa i-AI:
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Isebenzisa i-AI ngaphakathi ukunciphisa izindleko, ukusheshisa ukuhamba komsebenzi, noma ukuthuthukisa ukuqondiswa
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Isathengisa okunye (izimpahla zokuthengisa, izinsizakalo zasebhange, ezokuthutha, abezindaba, njll.)
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Ingathatha indawo ye-AI ngesofthiwe yendabuko bese "iba yiyo uqobo"
Izibonelo (ezivamile ngamabomu, ngoba izingxoxo zomkhiqizo ziyinto yokuzilibazisa kwabanye abantu):
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Ibhange elisebenzisa i-AI ukuthola ukukhwabanisa - linikwe amandla yi-AI
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Umthengisi osebenzisa i-AI ukubikezela isitokwe - inikwe amandla yi-AI
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Inkampani enomkhiqizo wayo oyi-ejenti yokusekela amakhasimende ye-AI - okungenzeka ukuthi iyinkampani ye-AI
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Amathuluzi okuqapha, ukuhlola, kanye nokusabalalisa imodeli yesikhulumi - inkampani ye-AI (ingqalasizinda) ( i-Google Cloud MLOps )
Ngakho yebo… udokotela wakho wamazinyo angasebenzisa i-AI ekuhleleni izikhumbuzo. Lokho akwenzi kube yinkampani ye-AI 😬🦷
Yini eyenza inguqulo enhle yenkampani ye-AI 🏗️
Akuzona zonke izinkampani ze-AI ezakhiwe ngendlela efanayo, kanti ezinye, empeleni, zinomoya kanye nemali engenayo. Uhlobo oluhle lwenkampani ye-AI luvame ukwabelana ngezici ezimbalwa ezibonakala kaningi:
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Ubunikazi bezinkinga obucacile : baxazulula inkinga ethile, hhayi "i-AI yakho konke"
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Imiphumela elinganiswayo : ukunemba, isikhathi esongiwe, izindleko zincishisiwe, amaphutha ambalwa, ukuguqulwa okuphezulu - khetha okuthile bese ukulandelela ( NIST AI RMF )
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Ukuqeqeshwa kwedatha : ikhwalithi yedatha, izimvume, ukubusa, kanye nezindlela zokuphendula akuwona ukuzikhethela ( i-NIST AI RMF )
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Isiko lokuhlola : bahlola amamodeli afana nabantu abadala - ngama-benchmarks, ama-edge cases, kanye nokuqapha 🔍 ( Google Cloud MLOps , Datadog )
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Iqiniso lokusetshenziswa : uhlelo lusebenza ezimweni ezingahlelekile zansuku zonke, hhayi kumademo kuphela
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Umkhawulo ovikelekile : idatha yesizinda, ukusatshalaliswa, ukuhlanganiswa komsebenzi, noma amathuluzi obunikazi (hhayi nje "esikubiza ngokuthi i-API")
Isibonakaliso esimangalisayo:
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Uma iqembu likhuluma ngokubambezeleka, ukuzulazula, amasethi e-eval, ukubona izinto ezingekho, kanye nezindlela zokuhluleka , cishe lenza umsebenzi wangempela we-AI. ( IBM - Model drift , OpenAI - ukubona izinto ezingekho , i-Google Cloud MLOps )
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Uma bekhuluma kakhulu “ngokuguqula ukusebenzisana ngamazwi ahlakaniphile,” kahle… uyazi ukuthi kunjani 😅
Ithebula Lokuqhathanisa: "izinhlobo" zezinkampani ezivamile ze-AI kanye nalokho ezikuthengisayo 📊🤝
Ngezansi kunethebula lokuqhathanisa elisheshayo, elingaphelele kancane (njengebhizinisi lansuku zonke). Amanani “ayizindlela zamanani ezijwayelekile,” hhayi izinombolo eziqondile, ngoba ayahlukahluka kakhulu.
| Inketho / “Uhlobo” | Izithameli ezinhle kakhulu | Intengo (ejwayelekile) | Kungani kusebenza |
|---|---|---|---|
| Umakhi Wemodeli Yesisekelo | Onjiniyela, amabhizinisi, wonke umuntu… ngandlela thile | Izinkontileka ezinkulu, ezisekelwe ekusetshenzisweni | Amamodeli ajwayelekile aqinile aba yipulatifomu - ungqimba "olufana nohlelo lokusebenza" ( intengo ye-OpenAI API ) |
| Uhlelo lokusebenza lwe-AI oluqondile (lwezomthetho, lwezokwelapha, lwezezimali, njll.) | Amaqembu anemisebenzi ethile yokusebenza | Okubhaliselwe + intengo yesihlalo | Imikhawulo yesizinda inciphisa isiphithiphithi; ukunemba kungagxuma (uma kwenziwe kahle) |
| Umshayeli we-AI osiza emsebenzini wolwazi | Ukuthengisa, ukwesekwa, abahlaziyi, imisebenzi | Ngomsebenzisi ngamunye njalo ngenyanga | Igcina isikhathi ngokushesha, ihlanganiswa namathuluzi ansuku zonke… iyanamathela uma ilungile ( intengo ye-Microsoft 365 Copilot ) |
| Ipulatifomu ye-MLOps / Model Ops | Amaqembu e-AI akhiqiza | Inkontileka yebhizinisi (ngezinye izikhathi ibuhlungu) | Ukuqapha, ukuthunyelwa, ukuphatha - akuhambisani nobulili kodwa kubalulekile ( i-Google Cloud MLOps ) |
| Inkampani Yokufaka Amalebula Edatha + | Abakhi bemodeli, amabhizinisi | Ngomsebenzi ngamunye, ngelebula ngalinye, kuhlanganiswe | Idatha engcono idlula "imodeli yokuthanda" ngokumangazayo kaningi ( MIT Sloan / Andrew Ng ku-AI egxile kudatha ) |
| I-Edge AI / I-AI ekudivayisi | Ihadiwe + IoT, izinhlangano ezisebenzisa ubumfihlo kakhulu | Ngedivayisi ngayinye, ilayisense | Ukubambezeleka okuphansi + ubumfihlo; futhi kusebenza ungaxhunyiwe ku-inthanethi (isivumelwano esikhulu) ( NVIDIA , IBM ) |
| Ukubonisana / Umhlanganisi we-AI | Ama-org angewona awomdabu e-AI | Okusekelwe kuphrojekthi, okugciniwe | Kuhamba ngokushesha kunokuqashwa kwangaphakathi - kodwa kuncike ethalenteni, empeleni |
| Ukuhlola / Amathuluzi Okuphepha | Amamodeli okuthumela amaqembu | Ukubhalisa okunezinga | Kusiza ekugwemeni ukwehluleka buthule - futhi yebo, lokho kubaluleke kakhulu ( i-NIST AI RMF , i-OpenAI - imibono engekho ) |
Qaphela okuthile. Igama elithi “inkampani ye-AI” lingasho amabhizinisi ahlukene kakhulu. Abanye bathengisa amamodeli. Abanye bathengisa amafosholo abakhi bamamodeli. Abanye bathengisa imikhiqizo eqediwe. Ilebula elifanayo, iqiniso elihluke ngokuphelele.
Izinhlobo eziyinhloko zezinkampani ze-AI (nokuthi yini eziyiphutha) 🧩
Ake singene sijule kancane, ngoba yilapho abantu bekhubeka khona.
1) Izinkampani ezisebenzisa amamodeli kuqala 🧠
Lawa mamodeli akha noma alungisa kahle. Amandla awo ngokuvamile alandelayo:
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ithalente lokucwaninga
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ukwenza ngcono ukubala
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ukuhlola kanye nokuphindaphinda ama-loop
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ingqalasizinda yokukhonza esebenza kahle kakhulu ( i-Google MLOps Whitepaper )
Ugibe oluvamile:
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Bacabanga ukuthi “imodeli engcono” ilingana ngokuzenzakalelayo “nomkhiqizo ongcono.”
Akunjalo. Abasebenzisi abathengi amamodeli, bathenga imiphumela.
2) Izinkampani ze-AI zomkhiqizo wokuqala 🧰
Lezi zifaka i-AI ngaphakathi komsebenzi. Ziphumelela ngalezi zinto ezilandelayo:
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ukusatshalaliswa
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I-UX kanye nokuhlanganiswa
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izimpendulo eziqinile
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ukwethembeka kungaphezu kokuhlakanipha okungahleliwe
Ugibe oluvamile:
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Bayayithatha kancane indlela yokuziphatha kwemodeli endle. Abasebenzisi bangempela bazophula uhlelo lwakho ngezindlela ezintsha nezinobuciko. Nsuku zonke.
3) Izinkampani ze-AI zengqalasizinda ⚙️
Cabanga ngokuqapha, ukuthunyelwa, ukuphatha, ukuhlola, ukuhlela. Banqoba ngalezi zinto ezilandelayo:
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ukunciphisa ubuhlungu bokusebenza
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ukuphathwa kwengozi
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ukwenza i-AI iphindaphindeke futhi iphephe ( NIST AI RMF , Google Cloud MLOps )
Ugibe oluvamile:
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Bayakha amaqembu athuthukile futhi bangabanaki bonke abanye, bese bezibuza ukuthi kungani ukwamukelwa kuhamba kancane.
4) Izinkampani ze-AI ezigxile kudatha 🗂️
Lokhu kugxila emigqeni yedatha, ukulebula, idatha yokwenziwa, kanye nokuphathwa kwedatha. Kuphumelela ngalezi zinto ezilandelayo:
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ukuthuthukisa ikhwalithi yesignali yokuqeqesha
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ukunciphisa umsindo
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ukuchwephesha okuvumelayo ( MIT Sloan / Andrew Ng ku-AI egxile kudatha )
Ugibe oluvamile:
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Bathengisa ngokweqile “idatha ixazulula konke.” Idatha inamandla, kodwa usadinga ukumodela okuhle kanye nokucabanga okuqinile komkhiqizo.
Okungaphakathi kwenkampani ye-AI ngaphansi kwe-hood: i-stack, cishe 🧱
Uma ubheka ngemuva kwesihenqo, izinkampani eziningi zangempela ze-AI zinesakhiwo sangaphakathi esifanayo. Hhayi njalo, kodwa kaningi.
Isendlalelo sedatha 📥
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ukuqoqwa nokungeniswa
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ukulebula noma ukuqapha okubuthakathaka
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ubumfihlo, izimvume, ukugcinwa
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ama-loop empendulo (ukulungiswa komsebenzisi, imiphumela, ukubuyekezwa komuntu) ( NIST AI RMF )
Isendlalelo semodeli 🧠
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ukukhetha amamodeli ayisisekelo (noma ukuqeqeshwa kusukela ekuqaleni)
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ukulungiswa kahle, ukuhluzwa, ubunjiniyela obusheshayo (yebo, kusabalulekile)
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izinhlelo zokubuyisa (ukusesha + ukubeka izinga + izizindalwazi zevektha) ( iphepha le-RAG (Lewis et al., 2020) , i-Oracle - ukusesha kwevektha )
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amasudi okuhlola namasethi okuhlola ( i-Google Cloud MLOps )
Isendlalelo somkhiqizo 🧑💻
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I-UX ephatha ukungaqiniseki (izikhombisi-ndlela zokuzethemba, izimo "zokubuyekeza")
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izivikelo (inqubomgomo, ukwenqaba, ukuqedwa okuphephile) ( NIST AI RMF )
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ukuhlanganiswa komsebenzi (i-imeyili, i-CRM, amadokhumenti, ukuthengisa amathikithi, njll.)
Isendlalelo se-Ops 🛠️
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ukuqapha ukukhukhuleka kanye nokuwohloka ( IBM - Model drift , Google Cloud MLOps )
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impendulo yesehlakalo kanye nokubuyiselwa emuva ( Uber - ukuphepha kokuthunyelwa )
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ukuphathwa kwezindleko (ukubala kungaba yisilo esincane esilambile)
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ukubusa, ukuhlolwa kwamabhuku, ukulawulwa kokufinyelela ( i-NIST AI RMF , isifinyezo se-ISO/IEC 42001 )
Futhi ingxenye engekho okukhangisayo:
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izinqubo zabantu - ababuyekezi, ukukhushulwa, i-QA, kanye nezindlela zokuphendula amakhasimende.
I-AI ayisho ukuthi "yibeke bese uyikhohlwa." Kufana kakhulu nokulima ingadi. Noma ukuba ne-raccoon yesilwane esifuywayo. Kungaba kuhle, kodwa kuzolimaza ikhishi lakho uma ungabuki 😬🦝
Amamodeli ebhizinisi: indlela izinkampani ze-AI ezenza ngayo imali 💸
Izinkampani ze-AI zivame ukuwela ezimweni ezimbalwa ezivamile zokwenza imali:
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Kususelwa ekusetshenzisweni (ngesicelo ngasinye, ngethokheni ngayinye, ngomzuzu ngamunye, ngesithombe ngasinye, ngomsebenzi ngamunye) ( Intengo ye-OpenAI API , i-OpenAI - amathokheni )
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Okubhaliselwe okusekelwe esihlalweni (ngomsebenzisi ngamunye ngenyanga) ( Intengo ye-Microsoft 365 Copilot )
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Amanani asekelwe emiphumeleni (angavamile, kodwa anamandla - akhokhelwa ngokuguqulwa ngakunye noma ithikithi elixazululiwe)
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Izinkontileka zebhizinisi (ukusekela, ukuthobela imithetho, ama-SLA, ukuthunyelwa ngokwezifiso)
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Ilayisense (kudivayisi, efakiwe, isitayela se-OEM) ( NVIDIA )
Ukucindezeleka okubhekene nezinkampani eziningi ze-AI:
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Amakhasimende afuna imali engase isetshenziswe 😌
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Izindleko ze-AI zingahlukahluka ngokuya ngokusetshenziswa kanye nokukhetha kwemodeli 😵
Ngakho-ke izinkampani ezinhle ze-AI zisebenza kahle kakhulu ku:
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ukuhambisa imisebenzi kumamodeli ashibhile uma kungenzeka
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imiphumela yokugcina isikhashana
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izicelo zokuhlanganisa
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ukulawula usayizi womongo
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ukuklama i-UX evimbela "i-infinite prompt spirals" (sonke sikwenzile...)
Umbuzo obalulekile: yini eyenza inkampani ye-AI ivikeleke 🏰
Lena yingxenye ebabayo. Abantu abaningi bacabanga ukuthi umsele “ungcono kakhulu.” Ngezinye izikhathi kunjalo, kodwa ngokuvamile… akunjalo.
Izinzuzo ezivamile zokuzivikela:
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Idatha yobunikazi (ikakhulukazi eqondene nesizinda)
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Ukusatshalaliswa (okufakwe kuhlelo lokusebenza abasebenzisi asebevele behlala kulo)
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Izindleko zokushintsha (ukuhlanganiswa, izinguquko zenqubo, imikhuba yeqembu)
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Ukwethenjwa komkhiqizo (ikakhulukazi ezizindeni ezinezingqinamba ezinkulu)
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Ubuhle bokusebenza (ukuthumela i-AI ethembekile ngezinga elikhulu kunzima) ( Google Cloud MLOps )
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Izinhlelo ezisebenza ngaphakathi komuntu (izixazululo ezihlanganisiwe zingenza ngcono ukuzenzekela okumsulwa) ( I-NIST AI RMF , Umthetho we-EU AI - ukuqondiswa komuntu (Isigaba 14) )
Iqiniso elingajabulisi kancane:
Izinkampani ezimbili zingasebenzisa imodeli efanayo eyisisekelo kodwa zibe nemiphumela ehluke kakhulu. Umehluko ngokuvamile uyikho konke okuzungeze imodeli - ukwakheka komkhiqizo, ama-eval, ama-data loops, kanye nendlela ezisingatha ngayo ukwehluleka.
Indlela yokubona ukuhlanza nge-AI (okwaziwa nangokuthi “singeze ukukhanya futhi sikubize ngobuhlakani”) 🚩
Uma uhlola ukuthi inkampani ye-AI iyini endle, qaphela lezi zimpawu ezibomvu:
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Akukho khono le-AI elicacile elichaziwe : ukumaketha okuningi, akukho ndlela
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Umlingo wedemo : idemo emangalisayo, akukho ukukhulunywa kwamacala onqenqema
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Ayikho indaba yokuhlola : abakwazi ukuchaza ukuthi bahlola kanjani ukuthembeka ( i-Google Cloud MLOps )
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Izimpendulo zedatha ezijikelezayo ngesandla : akucaci ukuthi idatha ivelaphi noma ukuthi ilawulwa kanjani ( NIST AI RMF )
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Akukho cebo lokuqapha : benza sengathi amamodeli awahambi ( IBM - Model drift )
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Abakwazi ukuchaza izindlela zokwehluleka : konke "kucishe kuphelele" (akukho lutho oluphelele) ( i-OpenAI - imibono engekho )
Amafulegi aluhlaza (okuphambene okuzolisayo) ✅:
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Zibonisa indlela ezilinganisa ngayo ukusebenza
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Bakhuluma ngemingcele ngaphandle kokwethuka
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Banezindlela zokubuyekezwa kwabantu kanye nokwenyuka ( i-NIST AI RMF , i-EU AI Act - ukuqondiswa kwabantu (Isigaba 14) )
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Bayaqonda izidingo zobumfihlo kanye nokuthobela imithetho ( i-NIST AI RMF , isifinyezo soMthetho we-EU AI )
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Bangathi “asisikwenzi lokho” ngaphandle kokuwa ngokomzwelo 😅
Uma uyakha eyodwa: uhlu lokuhlola olusebenzayo lokuba yinkampani ye-AI 🧠📝
Uma uzama ukusuka ku-“AI-enabled” uye ku-“inkampani ye-AI,” nansi indlela esebenzayo:
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Qala ngomsebenzi owodwa olimaza abantu abaningi kangangokuthi bazokhokha ukuze bawulungise
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Imiphumela yethuluzi kusenesikhathi (ngaphambi kokuthi ulinganise)
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Yakha isethi yokuhlola evela ezimweni zabasebenzisi bangempela ( i-Google Cloud MLOps )
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Engeza ama-loop empendulo kusukela ngosuku lokuqala
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Yenza izivikelo zibe yingxenye yomklamo, hhayi into ecatshangelwe kamuva ( NIST AI RMF )
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Ungakhi ngokweqile - thumela ucezu oluncane oluthembekile
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Phatha ukuthunyelwa njengomkhiqizo, hhayi isinyathelo sokugcina ( i-Google Cloud MLOps )
Futhi, iseluleko esiphikisanayo esisebenzayo:
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Chitha isikhathi esiningi kulokho okwenzekayo lapho i-AI ingalungile kunalapho ilungile.
Yilapho ukwethembana kuzuzwa noma kulahleke khona. ( NIST AI RMF )
Isifinyezo sokuvala 🧠✨
Ngakho-ke... ukuthi inkampani ye-AI iyini kuncike emgogodleni olula:
Yinkampani lapho i-AI iyinjini , hhayi umhlobiso. Uma ususa i-AI bese umkhiqizo uyeka ukwenza umqondo (noma ulahlekelwe umthelela wawo), cishe ubheka inkampani yangempela ye-AI. Uma i-AI iyithuluzi elilodwa nje phakathi kwamaningi, kunembile kakhulu ukuyibiza ngokuthi inikwe amandla yi-AI.
Futhi kokubili kulungile. Umhlaba udinga kokubili. Kodwa ilebula libalulekile uma utshala imali, uqasha, uthenga isofthiwe, noma uzama ukuthola ukuthi uthengiswa irobhothi noma i-cardboard cutout enamehlo e-google 🤖👀
Imibuzo Evame Ukubuzwa
Yini ebalwa njengenkampani ye-AI uma kuqhathaniswa nenkampani esebenzisa i-AI?
Inkampani ye-AI yileyo lapho umkhiqizo oyinhloko, inani, noma inzuzo yokuncintisana incike ku-AI - isuse i-AI bese ukunikezwa kuyawa noma kube kubi kakhulu. Inkampani enikwe amandla yi-AI isebenzisa i-AI ukuqinisa imisebenzi (njengokubikezela noma ukuthola ukukhwabanisa) kodwa isathengisa okuthile okungeyona i-AI ngokuphelele. Ukuhlolwa okulula: uma i-AI yehluleka kusasa futhi usakwazi ukusebenza nesofthiwe eyisisekelo, kungenzeka ukuthi unikwe amandla yi-AI.
Ngingabona kanjani ngokushesha ukuthi ibhizinisi liyinkampani ye-AI ngempela?
Cabanga ngalokho okwenzekayo uma i-AI iyeka ukusebenza. Uma amakhasimende ebengasakhokha futhi ibhizinisi lingancipha ngamaspredishithi noma isofthiwe yendabuko, cishe akuyona i-AI evela kuyo. Izinkampani ze-AI zangempela nazo zivame ukukhuluma ngamagama asebenzayo aqondile: amasethi okuhlola, ukubambezeleka, ukuzulazula, ukubona izinto ezingekho, ukuqapha, kanye nezindlela zokwehluleka. Uma konke kuyimakethe futhi kungekho ndlela, lokho kuyisibonakaliso esibomvu.
Ingabe kufanele uqeqeshe imodeli yakho ukuze ube yinkampani ye-AI?
Cha. Izinkampani eziningi ze-AI zakha imikhiqizo eqinile ngaphezu kwamamodeli akhona futhi zisafaneleka njenge-AI-native lapho i-AI iyinjini yomkhiqizo. Okubalulekile ukuthi amamodeli, idatha, ukuhlolwa, kanye nezihibe zokuphindaphinda kuqhuba ukusebenza kanye nokwehluka. Idatha yobunikazi, ukuhlanganiswa komsebenzi, kanye nokuhlolwa okuqinile kungadala umkhawulo wangempela ngisho nangaphandle kokuqeqeshwa kusukela ekuqaleni.
Yiziphi izinhlobo eziyinhloko zezinkampani ze-AI, futhi zihluke kanjani?
Izinhlobo ezivamile zifaka phakathi abakhi bemodeli yesisekelo, izinhlelo zokusebenza ze-AI eziqondile (njengamathuluzi ezomthetho noma ezokwelapha), abashayeli bezindiza abasebenza ndawonye bomsebenzi wolwazi, amapulatifomu e-MLOps/model ops, amabhizinisi edatha kanye nokulebula, i-AI esemaphethelweni/edivayisini, abeluleki/abahlanganisi, kanye nabahlinzeki bamathuluzi okuhlola/okuphepha. Bonke bangaba “izinkampani ze-AI,” kodwa bathengisa izinto ezihluke kakhulu: amamodeli, imikhiqizo eqediwe, noma ingqalasizinda eyenza i-AI yokukhiqiza ithembeke futhi ilawulwe.
Ibukeka kanjani i-stack yenkampani ye-AI ejwayelekile ngaphansi kwe-hood?
Izinkampani eziningi ze-AI zabelana nge-rough stack: ungqimba lwedatha (ukuqoqwa, ukulebula, ukubusa, i-feedback loops), ungqimba lwemodeli (ukukhethwa kwemodeli eyisisekelo, ukulungiswa kahle, usesho lwe-RAG/vector, amasudi okuhlola), ungqimba lomkhiqizo (i-UX yokungaqiniseki, izivikelo, ukuhlanganiswa komsebenzi), kanye nongqimba lwe-ops (ukuqapha ukukhukhuleka, impendulo yezehlakalo, ukulawulwa kwezindleko, ukuhlolwa). Izinqubo zabantu - ababuyekezi, ukukhushulwa, i-QA - zivame ukuba umgogodla ongemuhle.
Yiziphi izindlela zokulinganisa ezibonisa ukuthi inkampani ye-AI yenza "umsebenzi wangempela," hhayi ama-demo kuphela?
Isignali enamandla kakhulu imiphumela elinganiswayo ehlobene nomkhiqizo: ukunemba, isikhathi esilondoloziwe, izindleko ezincishisiwe, amaphutha ambalwa, noma ukuguqulwa okuphezulu - kuhlanganiswe nendlela ecacile yokuhlola nokuqapha lezo zilinganiso. Amaqembu angempela akha izilinganiso, ahlole amacala onqenqema, futhi alandelele ukusebenza ngemva kokusetshenziswa. Ahlela futhi ukuthi imodeli ingalungile nini, hhayi nje kuphela lapho ilungile, ngoba ukwethembana kuncike ekusingathweni kokwehluleka.
Izinkampani ze-AI zivame ukwenza kanjani imali, futhi yiziphi izithiyo zamanani okufanele abathengi baziqaphele?
Amamodeli avamile afaka amanani asekelwe ekusetshenzisweni (ngesicelo/ithokheni/umsebenzi ngamunye), okubhaliselwe okusekelwe esihlalweni, amanani asekelwe emiphumeleni (angavamile), izinkontileka zebhizinisi nama-SLA, kanye nelayisense ye-AI efakiwe noma edivayisini. Ukucindezeleka okuyinhloko ukubikezela: amakhasimende afuna ukusetshenziswa okuzinzile ngenkathi izindleko ze-AI zingashintsha ngokusetshenziswa nokukhetha imodeli. Abathengisi abanamandla baphatha lokhu ngokuthumela kumamodeli ashibhile, ukugcinwa kwesikhashana, ukuhlanganisa, nokulawula usayizi womongo.
Yini eyenza inkampani ye-AI ivikeleke uma wonke umuntu engasebenzisa amamodeli afanayo?
Ngokuvamile umsele awugcini nje ngokuba “imodeli engcono.” Ukuzivikela kungavela kudatha yesizinda sobunikazi, ukusatshalaliswa ngaphakathi komsebenzi abasebenzisi asebevele behlala kuwo, ukushintsha izindleko kusuka ekuhlanganisweni nasemikhuba, ukwethenjwa komkhiqizo ezindaweni ezibaluleke kakhulu, kanye nokusebenza kahle ekuthumeleni i-AI ethembekile. Izinhlelo zabantu ezisebenza ngaphakathi kwe-loop nazo zingadlula ukuzenzekela okumsulwa. Amaqembu amabili angasebenzisa imodeli efanayo futhi athole imiphumela ehlukene kakhulu ngokusekelwe kukho konke okuzungezile.
Ngikubona kanjani ukuhlanza i-AI lapho ngihlola umthengisi noma inkampani entsha?
Qaphela izimangalo ezingacacile ezingenalo ikhono le-AI elicacile, "umlingo wedemo" ongenazo izimo ezinqenqemeni, kanye nokungakwazi ukuchaza ukuhlolwa, ukuphathwa kwedatha, ukuqapha, noma izindlela zokwehluleka. Izimangalo ezizethemba ngokweqile ezifana nokuthi "cishe ziphelele" ziwuphawu lwesixwayiso. Amafulegi aluhlaza afaka phakathi ukulinganisa okusobala, imikhawulo ecacile, izinhlelo zokuqapha zokushintshashintsha, kanye nezindlela zokubuyekezwa kwabantu noma zokwenyusa ezichazwe kahle. Inkampani engathi "asenzi lokho" ivame ukuthembeka kakhulu kunethembisa konke.
Izinkomba
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