Buyela Ezindabeni
IbhizinisiAI Understanding ukwaziswa

I-Cognizant's Intelligence Spine ixhumanisa i-AI engokomzimba neye-agent

I-Automation World ibika ukuthi i-Cognizant yethule inkundla yebhizinisi exhuma izinzwa zasefekthri, amarobhothi nezinye izinhlelo zomzimba nge-AI ye-agent, nokusetshenziswa kwangaphambi kwesikhathi kuyaqhubeka kodwa akukadluliswa kabanzi okwamanje.

4 min readRead the linked source
Source-page capture accompanying Cognizant’s Intelligence Spine links physical and agentic AI
Inkomba yomthomboUmthombo urekhodiwe
Umshicileli
automationworld.com
Isixhumanisi somthombo
automationworld.comhttps://www.automationworld.com/analytics/news/55403015/ai-company-launches-central-nervous-system-to-unify-physical-and-agentic-ai
Uhlobo lomthombo
Umthombo oxhunyiwe — isimo somthombo oyinhloko asikasungulwa.
UmongoQonda lokhu ngemizuzwana engama-60

Qala lapha

Imigomo ebalulekile

Inkumbulo (Inkumbulo yomenzeli)
Ingqikithi egciniwe umenzeli we-AI usebenzisa ezinyathelweni zonke noma izikhathi ukuze athuthukise ukuqhubeka.
Ukubambezeleka
Isikhathi phakathi kokuthumela isicelo nokuthola okukhiphayo kwemodeli.
ZihloleImibuzo ye-AI Agents

Kwenzekeni

I-Automation World ibika ukuthi i-Cognizant yethule inkundla yayo ye-Intelligence Spine ye-AI ye-AI-as-a-service ngoJuni. Inkundla yakhelwe ukuxhuma izinzwa, amakhamera, amarobhothi namawele e-AI anezinhlelo ze-agent ezicabanga futhi zenze imisebenzi yonkana yebhizinisi.

I-Automation World ibika ukuthi i-Cognizant ichaza i-Intelligence Spine “njengenkundla ye-AI yesikhungo esizimele-njengesevisi” ye-AI yomzimba. Ihloselwe ukuhlanganisa izakhi zefekthri ebonakalayo—okuhlanganisa izinzwa, amakhamera, amarobhothi namawele e-AI—ngesendlalelo se-agent esingacabanga futhi senze okuthile. Isikhulu esiqaphelayo u-Vijay Narayan uqhathanise isistimu nesistimu yezinzwa emaphakathi ehlanganisa amafa aphathekayo amaningi.

Umbiko uthi le nkundla igcina inkumbulo yesikhungo evela kuma-ejenti ahlukene futhi isebenzisa injini eqaphela umongo ukuze izenzo nokucabanga kuhlale kuxhumene nengqikithi yokusebenza kwebhizinisi. Abamele icognizant baphinde batshela i-Automation World ukuthi lolu hlelo lungasabalalisa izimiso zokuziphatha nezinqubomgomo zokusebenza zenkampani kuwo wonke ama-ejenti ahlukene futhi lugcine izindlela zokucwaningwa kwezinqumo encwadini ethi inkampani ihlanganisa i-blockchain.

I-Automation World ibika ukuthi i-Cognizant ithi inkundla ingasatshalaliswa ezimbonini eziyisishiyagalombili, ezihlanganisa ezokukhiqiza, izinsiza, ezokuthutha, ezokuthutha, i-aerospace nokuzivikela, isayensi yezempilo nezempilo, kanye namabhizinisi abathengi. Lesi sihloko sithi ayikasatshalaliswa ukuthi isetshenziswe kabanzi, kodwa isetshenziswa nabakhiqizi abambalwa, izinsiza kanye nezinkampani zezimoto, njengoba kuqhubeka izingxoxo. Isibonelo esisodwa semoto esicashuniwe sibandakanya amasistimu e-AI ahlukene emigqeni yokuhlanganisa neyokuhlola eyakhiwe abakhiqizi bezinto zangempela abahlukene.

Imininingwane yomthombo: automationworld.com ↗

Kungani kubalulekile

Uma i-architecture ebikiwe isebenza njengoba kuhlosiwe, ingabhekana nenkinga engokoqobo ku-AI yezimboni: amasistimu akhiwe abathengisi bezinto ezihlukene ngokuvamile aqoqa ulwazi ngokuzimela futhi awakwazi ukwabelana ngomongo. Isendlalelo esivamile singasiza abakhiqizi baxhumanise izenzo emigqeni yomhlangano nasezinsizeni, kuyilapho besebenzisa izinqubomgomo ezingaguquki futhi begcina amarekhodi ezinqumo. Umbiko awuziqinisekisi ngokuzimele izimangalo zobuchwepheshe ze-Cognizant noma ulinganisele izinzuzo zokusebenza.

Icala lokusetshenziswa elibikiwe liwumphumela ngoba izikhungo zezimboni ziya ngokuya zihlanganisa imishini nesoftware evela kubathengisi abaningi. Uma lawo masistimu engenawo umongo okwabelwana ngawo, i-ejenti ingase ithuthukise umsebenzi wasendaweni ngaphandle kokuqonda ukuthi omunye ulayini noma umshini usuvele wenzeni. Isendlalelo sokuxhumanisa singenza izinqumo zesistimu ehlukene zihambisane kakhulu, nakuba umbiko unganikezi izilinganiso zokusebenza ezizimele.

Ukuqiniswa kwenqubomgomo okubekwe endaweni eyodwa kanye nokucwaningwa kwamabhuku nakho kungabalulekile ekuphepheni nasekuphenduleni. Uma isendlalelo sokuphatha okwabiwe sirekhoda ngokweqiniso izinqumo futhi sivimbe izenzo ezinqatshelwe, singase sinikeze opharetha indlela ecacile yokubuyekeza izehlakalo. Kodwa-ke, lawa ngamakhono achazwe e-Cognizant, hhayi imiphumela eqinisekisiwe ngokuzimele, futhi incwadi yezimali iyodwa ngeke iveze ukuthi izinqumo eziyisisekelo ze-AI zilungile noma ziphephile.

Interactive Mechanism

I-Interactive Mechanism: Indlela Esebenza Ngayo Ngempela

Hlola ubuchwepheshe obuyisisekelo ngemuva kwalokhu kuthuthukiswa ngokuhlanganyela.

Thinking Budget (Test-Time Tokens):1,024 tokens
Complex Accuracy79%Math & Code Logic
Latency3.2sTime to first full output
Inference Cost$0.0092Per query estimated
Reasoning StyleStep VerificationInternal chain depth
Active Thinking Trace:
1Deconstruct user problem into formal constraints
2Propose candidate hypotheses & step-by-step calculation
3Self-correction: Backtrack and refute subtle edge cases
4Exhaustive consistency check & final output synthesis
Core takeaway: Test-time compute fundamentally changes AI economics. Instead of only scaling during pre-training, giving reasoning models more tokens at inference time allows them to systematically solve PhD-level STEM problems.
I-Interactive Concept Check+10 Points
AI Agents Quiz

An agent must create a draft calendar event for Tuesday at 2 p.m. Which evidence would establish the requested result?

Ongakubuka ngokulandelayo

Ukuhlolwa okubalulekile ukuthi i-Cognizant ingakwazi yini ukusuka ekusetshenzisweni okulinganiselwe iye ekusetshenzisweni okuthembekile, okuhlolwa ngokuzimela kuzo zonke izindawo eziyinkimbinkimbi zezimboni. Amakhasimende azodinga nobufakazi obucacile mayelana nokusebenzisana, ukubambezeleka, ukuphepha kwe-inthanethi, ukuziphendulela kanye nokuphathwa kwezinqumo ezingaphephile noma ezingalungile. Amanani entengo, ukutholakala komphakathi kanye nobunikazi bekhasimende obuthile akubhaliwe embikweni.

Umbiko awukhombi inkampani yezimoto noma abanye abasebenzisi bangaphambi kwesikhathi, uchaza uhlelo lwezikhathi zokuqalisa, noma unikeze imiphumela yokuhlolwa ebonisa isikhathi esithuthukisiwe, ukuphepha, ikhwalithi noma ukukhiqiza. Leyo mininingwane ingasiza ukuhlukanisa ukuthunyelwa kwabathengisi abaningi okusebenzayo esiphakamisweni sezakhiwo.

Izimo zokufinyelela nezintengo akwaziwa. I-athikili ichaza inkundla yebhizinisi njengesevisi kanye nokusetshenziswa okulinganiselwe, kodwa ayinikezi umzila wokuthenga esidlangalaleni, idethi yokutholakala okuvamile, imigomo yokubhalisa noma izidingo zokuphakwa.

Ukubika okuzayo kufanele kuhlole ukuthi inkundla iyisingatha kanjani imiyalelo engqubuzanayo, ukwehluleka kwemodeli, ukuxhumana okuqondile nomthengisi, ukweqiwa kwabantu kanye nezigameko zokuvikeleka ku-inthanethi. Ubufakazi bekhasimende elizimele kanye nokuhlola kuzobaluleka ngaphambi kokuba izimangalo zokusebenzisana kwebhizinisi lonke zihlolwe.

Imihlahlandlela ehlobene nemibuzo

Ama-AI AgentsAmamodeli e-AI AchaziweUkuziphatha kwe-AIIkusasa le-AIHlola okwaziyo — zama imibuzo ye-AI yamahhalaBheka igama le-AI kuhlu lwethu lwamagamaLandela umkhondo woxhaso lwe-AI
Uthole lokhu kuwusizo?