Juniper Cikakkun Tarin Input, Mafi Girman fitarwa

JAGORANTAR MAI AMFANI

Cikakkun Abubuwan Shigar Tari, Mafi Girman Fitarwa:

Yadda Ake Samun Mafificin AI a Sadarwar Sadarwa

Yin amfani da ƙarfin mafi kyawun nau'in cikkaken tarin hanyar sadarwa don sadar da ƙwarewa na musamman

 

Sake tunani campmu da sadarwar reshe don zamanin AI

Shugabanni a duk faɗin duniya sun ba da umarnin kamfanoni don tura bayanan wucin gadi (AI) a cikin kasuwancin. Suna nufin canza ayyuka da shiga cikin kudaden shiga na ɓoye. Kuma masu siyarwa a duk sassan, gami da sadarwar IT, suna ɗokin cin gajiyar damar.

Ga shugabannin sadarwar da ke gudanar da hadaddun da tsada campmu da wuraren reshe, tambayoyi masu mahimmanci sun fito:

• Advan nawatagShin AI na iya isar da gaske?
Menene madaidaicin haƙurin haɗari?
Wace hanya ce mafi kyaun gaba don inganta abubuwan da aka fitar?

Tare da zaɓuɓɓuka da yawa da ke akwai don turawa, haƙiƙanin haƙiƙanin hangen nesa mai siyarwa, iyawa, da ƙwarewa sun fi mahimmanci fiye da kowane lokaci. Kuma dillalai da ke bin AI sun bazu cikin ƴan manyan rukunan, gami da:

• Siloed, dillalai masu niche tare da damar AI iri-iri waɗanda ba su iya isar da cikakken tari campmu da hadewar reshe
• Dillalai da ke ba da mafita daban-daban na bolt-on AI waɗanda ke haifar da ruɗi na cikakken ingantaccen aiki.
• Dillalai tare da ingantattun ingantattun gine-ginen gine-ginen da aka tsara tun daga ƙasa har zuwa amfani da cikakkiyar damar AI

Koyi ƙarin koyo game da Juniper's AI-Native da cikakken babban fayil ɗin bayani na asalin gajimare.
Ƙara koyo →

Ƙarshen yana wakiltar muhimmin juyin halitta a cikin hanyar sadarwa:

Haɗin kai tsakanin mafi kyawun abubuwan haɗin yanar gizo da sabbin fasalolin AI-Native yana haifar da mafi kyawun mai aiki da ƙwarewar mai amfani - sake fasalin abin da kalmar "cikakken tari" ke nufi a cikin yanayin sadarwar zamani.

Juniper ya yi imanin cewa ya kamata manyan manyan hanyoyin sadarwa na yau da kullun su kasance masu ƙarfi da haɓaka don tallafawa buƙatun kasuwanci. Kuma ya kamata su haɗa da AI da ikon sarrafa kansa waɗanda ke sauƙaƙe gudanarwa da kashe kuɗi yayin haɓakawa da tabbatar da ƙwarewar mai amfani daga farkon zuwa ƙarshe.

Wannan ebook yana rufe labarin da ke tasowa. Yana nazarin rawar bayanai a cikin sadarwar AI da ƙimar haɗin kai-ajin masana'antu, cikakkun bayanai masu tarin yawa. Hakanan yana zurfafa cikin mahimmancin ingantattun bayanai na bayanai don tabbatar da mafi girman fitarwa na maganin AI a cikin sadarwar IT.

Mu fara

max·i·mum out·put [noun]

Nasarar mafi girman aiki da inganci a cikin ayyukan cibiyar sadarwa, wanda aka kwatanta ta hanyar isar da keɓaɓɓen ƙwarewar mai amfani a cikin hanyoyin sadarwar LAN da WAN. Wannan ya haɗa da sikelin canji da ƙarfin aiki, mafi kyawun haɗin gwiwa, sauƙaƙe ayyukan aiki, da samun mafi ƙarancin TCO da OpEx.

Key takaways

Ta hanyar iyawa kamar ƙididdigar tsinkaya da kiyayewa, aiki da kai, da sa ido kan hanyar sadarwa mai hankali, AI ta fito a matsayin ƙarfin canji a cikin sadarwar. A cikin campmu da wuraren da aka rarraba reshe, hanyar "cikakken tari" daidai zai iya ƙara rage rikitarwa da farashi.

1. Gaskiya cikakken tari ya fi “taki”
Dabarar zamani tana amfani da haɗe-haɗe na kayan masarufi da software (ciki har da na AI), wanda tsarin gine-ginen API na buɗaɗɗen 100% ke ƙarfafawa don daidaita ayyuka da haɓaka ƙwarewa.

2. AI a cikin sadarwar yana da tasiri mai girma, ƙananan haɗari
AI a cikin hanyar sadarwar ya fito fili don ikon sa na sadar da sauri, daidaito, da tasiri mai mahimmanci ga masu amfani da IT.

3. Mafi kyawun-nau'in, cikakken shigarwar tari mai iya fitarwa
Tattara da amfani da bayanai daga LAN, WAN, tsaro, da bayan AI suna ba da damar da ba a taɓa ganin irin ta ba

4. Hange da balaga al'amura
Yana da mahimmanci a yi amfani da balagagge da ci gaba da koyo algorithms kimiyyar bayanai zuwa ingantattun saitin bayanai.

5. Ƙungiya ta sanar da ƙungiyar makaɗa da ke gudana
Bayan yaduddukan fasaha, tsari mai kyau da tsarawa tsakanin ƙungiyoyin masu siyarwa suna da mahimmanci.

6. AI-Native cikakken tari ya fi girma
Juniper yana ba da AI-Native kawai na masana'antar kuma cikakken cikakken bayani game da girgije wanda zai iya canza damar sadarwar.

Babban shingaye ga nasarar NetOps sun haɗa da shortage na ƙwararrun ma'aikata, kayan aikin gudanarwa da yawa, rashin ingancin bayanan cibiyar sadarwa, da rashin hangen nesa na yanki, bisa ga binciken EMA.

Kusan 25% na ƙungiyoyin ayyukan cibiyar sadarwa har yanzu suna amfani da tsakanin kayan aikin 11-25 don saka idanu, gudanarwa, da kuma magance matsala.

30% na matsalolin cibiyar sadarwa suna faruwa ne saboda kurakuran hannu

Alkawarin da ba za a iya jayayya ba na AI a cikin sadarwar

Yau campmu da cibiyoyin sadarwa na reshe suna aiki a matsayin tsarin jini da juyayi na kamfani.
Suna ba da mahimmancin kwararar bayanai kuma suna ba da damar amsa mai sauri, mai hankali.
Kowace hanyar sadarwa tana jujjuyawa tare da yuwuwar fitar da yawan aiki da ƙirƙira.
Duk da haka kiyaye wannan haɗin gwiwa web bai taba zama mafi kalubale ba.

Ƙungiyoyin IT suna kokawa da buƙatun kasuwanci masu tasowa cikin sauri. Suna fuskantar wahala na kare faɗuwar hare-hare daga ɓarna na zamani. Kuma dole ne su yi gwagwarmaya da harin sabbin na'urori, nau'ikan haɗin gwiwa, da yaɗuwar aikace-aikacen da ke haifar da buƙatun bandwidth.

Daidaita buƙatar ma'auni akan albarkatun albarkatu da matsalolin kasafin kuɗi da ƙarancin ƙwarewa na musamman kawai ke haɗawa da rikitarwa.

A cikin wannan shimfidar wuri, AI ya fito a matsayin ƙarfin canji na gaske a cikin hanyar sadarwa. A gaskiya ma, hanyoyin sadarwar sadarwar AI mafi ci gaba sun riga sun ragu sosai kuma, a wasu lokuta, har ma da kawar da yawancin abubuwan zafi na duniya. Exampsun hada da:

• Ƙididdigar tsinkaya da kiyayewa: Kayan aikin gudanarwa na cibiyar sadarwa na AI na iya nazarin bayanan lokaci na ainihi da kuma tsinkayar abubuwan da za su iya faruwa kafin su faru. Wannan yana ba da damar kulawa da kai tsaye kuma yana rage raguwar lokaci. Ya haɗa da gano yuwuwar barazanar tsaro, gano abubuwan da ba su dace ba, da haɓaka aikin cibiyar sadarwa.
• Automation da ƙungiyar kade-kade: Ƙaƙwalwar AI ta haɓaka aiki da kai tana bawa cibiyoyin sadarwa damar warkar da kansu, daidaita kansu, da haɓaka kansu. Duk yana haifar da raguwar sa hannun hannu da haɓaka haɓaka gabaɗaya yayin haɓaka ƙwarewar mai amfani da mai aiki. Kayan aikin kaɗe-kaɗe masu ƙarfin AI kuma na iya sarrafa hadaddun matakai, kamar samar da hanyar sadarwa da sarrafa canji.
• Sa ido kan hanyar sadarwa mai hankali da hangen nesa: Kayan aikin sa ido masu ƙarfi na AI suna ba da ganuwa na ainihin lokaci cikin ayyukan cibiyar sadarwa kuma suna iya ba da fa'ida mai aiki da ba da damar yanke shawara ta hanyar bayanai.

Ƙididdigar AI-kore na iya gano abubuwan da ke faruwa, gano alamu, da ba da shawarwari don ingantawa, tsaro, da tsara iya aiki.

Duk da yake waɗannan nau'ikan damar suna wanzu a yau, su ne keɓanta kuma ba al'ada ba. Yawancin mafita ba su da haɗin kai da bayanan da ake buƙata don canza ayyukan yau da kullun.

"Idan kuna son sarrafa matakin 2/tier 3 inda kuka nutse cikin tarin hanyar sadarwar kuma kuyi ƙoƙarin gano inda matsalar [cibiyar sadarwa] take da kuma yadda ake gyara ta - babban maƙasudi da yawa, dandamali-agnostic AIOps dandamali ba sa. yi haka; ba ƙwararrun yanki ba ne.”

Shamus McGillicuddy, Mataimakin Shugaban Bincike, EMA

04. Abubuwan shigarwa

Mafi girman fitarwa yana farawa tare da mafi kyawun shigarwar bayanai

Lokacin da ya zo don cire cikakken darajar daga AI da koyo na inji (ML) a cikin sadarwar sadarwar, ƙarar, isa, inganci, lokaci, da sarrafawa-da albarkatun don nazarin da aiwatar da bayanan-suna da mahimmanci. Bayan haka, ingantattun ayyukan AI-kunna sun rataya akan cikakkiyar fahimtar halin da ake ciki.

Sanin ainihin abin da ke faruwa, inda yake faruwa, da kuma dalilin da ya sa yake faruwa yana da mahimmanci don sanar da amsa akan lokaci da dacewa. Kuma ingancin bayanai shine ginshiƙin komai.

Kamar yadda tsarin samar da ruwan inabi na musamman ya dogara da dalilai daban-daban, samar da ingantattun bayanai don AI a cikin aikin yanar gizo yana yin haka. Kama da yadda ruwan inabi ke buƙatar inabi masu dacewa, ƙasa, da lokacin tsufa, ƙwarewar sadarwar yanar gizo, aiki tuƙuru, da haƙuri duk suna da mahimmanci wajen haɓaka saitin bayanai daban-daban tare da ingantaccen lakabi da ingantaccen bayani.

Kowa zai iya tattara bayanan asali akan lafiyar cibiyar sadarwa kuma ya ciyar da shi cikin injin AI. Koyaya, haɓaka ingantaccen AI mai tasiri da gaske wanda ke iya ba da damar ƙwarewar mai amfani na musamman da rage ƙimar ƙimar ƙarya ta ƙunshi la'akari da yawa. Don cimma waɗannan manufofin, masu siyarwa dole ne suyi la'akari da komai daga tsarin ƙungiya zuwa haɓaka kayan aiki / software, bakan bayanai, da saiti na kayan aiki. Bugu da ƙari, yana da mahimmanci a yi amfani da balagagge da ci gaba da koyan algorithms kimiyyar bayanai zuwa tsararrun saitin bayanai.
Bugu da ƙari, haɓaka fitarwa daga AI a cikin hanyar sadarwar ya dogara da lamba da faɗin abubuwan shigar da bayanai. Kuma wannan shine ainihin inda yawancin hanyoyin sadarwar AI ke iyakance. A halin yanzu, wasu hanyoyin sadarwar IT na iya tattara bayanai daga LAN, wasu daga WAN. Amma 'yan mafita za su iya tarawa da amfani da bayanai daga duka LAN da WAN (da kuma bayan) yadda ya kamata - abin da muke kira "cikakken tari." Wannan yana nuna mahimmancin buƙatar hangen nesa mai siyarwa don tabbatar da haɗin kai da haɗin kai.

Matsayin shigarwa vs fitarwa don haɓaka sadarwar AI

Kyakkyawan LAN ko WAN	Mafi kyawun LAN da WAN	Matsakaicin LAN, WAN, tsaro, wuri, da ƙari tare da iyawar AI-Native
Yana ba da rarrabuwa view na ayyukan sadarwar da tsaro	Ya fara bayar da ƙarin cikakke view na ayyukan cibiyar sadarwa, ba da damar tsarin AI don yin ƙarin yanke shawara	Yana ba da cikakkiyar saitin bayanai kuma yana ba da fa'ida view wanda ke ba da damar tsarin AI don cimma cikakkiyar damar su
Hoton fa'idodin: Iyakantaccen iyaka yana iyakance fa'idodi, samar da ingantaccen haɓakawa cikin inganci da gano barazanar	Hoto na fa'ida: Yana goyan bayan matsakaicin haɓakawa a cikin gudanarwar cibiyar sadarwa, rage raguwar lokaci da gano al'amura masu rikitarwa	Hoton fa'idodin: • Yana ba AI damar haɓaka aikin cibiyar sadarwa da himma • Yana haɓaka tsaro tare da tsinkayar barazana • Yana ba da ƙwarewar mai amfani na keɓaɓɓen

Motsawa sama da tsarin sadarwar AI na gargajiya da na asali na mafi yawan dillalai, Juniper's AI-Native cikakken tsarin tarawa yana wakiltar gaba ta gaba a cikin sabbin hanyoyin sadarwa.

05. Inganta abubuwan fitarwa

Yadda cikakken tari na AI-Native ke fuskantar ci gaban sadarwar

Ya zuwa yanzu, mun kafa dalilin da ya sa ingancin bayanai shine jigon rayuwa ga AI kuma dalilin da yasa mafi girman fitarwa a cikin sadarwar ke ɗaukar bayanai masu inganci daga ko'ina cikin hanyar sadarwa. Babbar tambaya ta gaba ita ce: Wace hanya ce mafi kyau don samun da kuma amfani da bayanai masu inganci a kowane mataki don inganta abubuwan sadarwar sadarwa?

Mafi kyawun dabarun yin amfani da tsarin haɗin kai ta hanyar masana'antu-manyan kayan masarufi da tarin software-cikakken tari-inganta aiki, daidaita ayyukan, da haɓaka ƙwarewar mai amfani da tsaro. Girgizar microservices da 100% buɗaɗɗen gine-ginen API ne ke ƙarƙashin shi don faɗaɗa zuwa sauran manyan mafita a duk faɗin yanki, kamar 5G, ITSM, dandamalin sadarwa, cybersecurity, da motsi.

Juniper yana canza tarin bayanan sadarwar gargajiya ta hanyar ɗaukar na'urorin sadarwar azaman na'urori masu auna firikwensin, ɗaukar cikakkun bayanai na kewayo daga ko'ina cikin LAN da WAN, gami da haɗa tsaro da abubuwan da ke tushen wuri. Don misaliample, mahimman abubuwan tsarin mu sun haɗa da (duba shafi na 12 don babban hoto):

• Ingantattun telemetry na ƙarshe-zuwa-ƙarshen: Aunawa jihohin masu amfani da mara waya 150+ ta hanyar watsa shirye-shiryen telemetry daga masu ba da hanya tsakanin hanyoyin sadarwa, masu sauyawa, da tawul ɗin wuta, wanda Mist AI™ ya haɓaka don ƙididdigar tsinkaya.
• Cloud-native, microservices architecture: Taimakawa aikin sarrafa bayanan AI na ainihin lokaci da ba da damar haɓaka, juriya, da ingantaccen aiki na tsarin sarrafa cibiyar sadarwa.
• Injin AI gama gari: Haɓaka nazarin bayanan cibiyar sadarwa da hanyoyin yanke shawara a ƙarƙashin tsari guda ɗaya, ƙwararrun ƙwararrun ƙwararrun ƙwararrun ƙwararrun AI waɗanda ke sauƙaƙe ayyukan da aka daidaita, warware matsalar tsinkaya, da koyo mai daidaitawa a duk yanayin yanayin cibiyar sadarwa.

Ta hanyar ci gaba da ƙwarewar mai amfani da koyo dangane da cikakkun bayanan telemetry, Juniper yana haɗa bayanan aikace-aikace tare da bayanan cibiyar sadarwa. Wannan yana bawa tsarin AI damar koyo game da aikace-aikacen da ake amfani da su da kuma yin hasashen tasirin tasiri akan ƙwarewar aikace-aikacen mai amfani dangane da mummunan yanayin cibiyar sadarwa.

Bugu da ƙari, majagaba na AI-Native Virtual Network Assistant, Marvis™, yana sauƙaƙe gudanarwa da magance matsala. Marvis yana fasalta hanyar tattaunawa don daidaita matsalar warware matsalar da tsarin aiki mai sarrafa kansa, tuki ci gaba da inganta hanyar sadarwa. Marvis kuma yana fasalta Marvis Minis, tagwayen gogewar dijital na farko na masana'antar. Minis suna gano matsalolin haɗin kai da ƙarfi kafin su faru, suna ƙara kare masu amfani daga abubuwan haɗin yanar gizo masu takaici.

A cikin manyan campmu da wuraren reshe da aka rarraba, wannan haɗin iyawar yana canza wasa. Yana kawar da ƙaddamarwa yadda ya kamata, warware matsala, da ƙalubalen kulawa waɗanda ke haɓaka farashi, shimfiɗa ƙungiyoyin IT zuwa iyakokin su, lalata ƙwarewar masu amfani, da hana haɓakawa da haɓakawa. Tare, sun ƙunshi canji na gaske a cikin hanyar sadarwar kasuwancin da za ta ci gaba da ingantawa cikin lokaci.

Ganin babban hoto

Tushen hanyar sadarwa mai cikakken tari na zamani yana da mahimmanci ga yanayinsa mai ƙarfi da ba da damar haɗa kai cikin sabbin wuraren sadarwar-da bayan haka. Haɓaka daidaitawa zai zama alamar sabon zamani a cikin sadarwar IT, ɓata tsarin TCO na al'ada don ingantaccen fasahar da canza ƙwarewar hanyar sadarwa ga masu aiki da masu amfani. Anan ga wasu zaɓaɓɓun tsohonampƘarfafa iyawar da ke nuna yadda Juniper ke sake fasalin cikakken ayyukan tari:

HOTO NA 1
Tallafin AI-Native yana ci gaba da ingantawa tare da lokaci: kashi dari na tikitin cibiyar sadarwar IT abokin ciniki an warware shi tare da AI a cikin shekaru da yawa.

Haɗin sabis na wuri

Wuraren samun damar mara waya (APs) waɗanda ke ba da damar tsararrun eriya ta Bluetooth® guda 16 don sanyawa / daidaitawa ta AP mai sarrafa kansa da ingantaccen hangen nesa na kadari da vBLE don daidaitaccen sabis na wurin daidaitacce wanda zai iya haɓaka haɗin gwiwar mai amfani da haɓaka ayyukan aiki a cikin masana'antu.

SD-WAN mai girma
Marasa ramin rami, tushen zaman SD-WAN ta amfani da Zama Smart Networking don ingantaccen amfani da bandwidth da gazawar kai tsaye dangane da yanayin hanyar sadarwa na lokaci-lokaci.

Amintaccen AI-Native Edge
Tsaro, WAN, LAN, da NAC (Control Access Control) a cikin tashar aiki guda ɗaya, tana ba da babban ɗaukar hoto don barazanar a saurin waya, da muhimmin mataki na gaba ga AI-Native uZTNA da

Gine-gine na tushen SASE
Haɗin cibiyar bayanai mara ƙarfi
Mataimakiyar hanyar sadarwa ta farko na masana'antu-farko (VNA) tana ba da ganuwa daga ƙarshen zuwa-ƙarshe da tabbaci a duk wuraren kasuwanci, daga campmu da reshe zuwa cibiyar bayanai

Babba Tabbacin Hanyar Hanya
AI-Native aiki da kai da kuma fahimta don al'adun gargajiya gefuna topologies

Wi-Fi 6E mai jagora da kayan aikin Wi-Fi 7
An ƙirƙira APs don sauƙaƙe ayyukan cibiyar sadarwa yayin haɓaka sikeli da ƙarfi. Maɓalli mai ƙarfi don Wi-Fi 7 tare da ingantaccen ikon tsakiya da sarrafa bayanai don tsarin gini

06. Bayan fasaha

Bayan fasaha: mahimmancin tsarin tsari

Cimma mafi girman fitarwa daga cikakken tsarin hanyar sadarwar ba ya dogara kawai ga fasahar da aka tura; Hakanan yana da mahimmanci akan tsarin ƙungiya.
Daidaitaccen tsari da ƙungiyar kade-kade a cikin matakan fasaha daban-daban da kuma cikin ƙungiyoyin kansu suna da mahimmanci ga nasara.
A Juniper, mun ƙirƙira yanayin haɗin gwiwa inda ƙungiyoyin kimiyyar bayanan mu da ƙungiyoyin tallafin abokin ciniki ke aiki tare. Daidaita jiki da aiki, ƙungiyoyin biyu suna amfani da kayan aikinmu na AIOps na ci gaba don ci gaba da aiki tare da batutuwan abokin ciniki na lokaci-lokaci da amsawa.

Wannan kusancin haɗin gwiwar yana tabbatar da cewa ƙwararrun ilimin kimiyyar bayanan mu da ƙwararrun yanki suna daidaitawa tare da haɓaka buƙatun abokin ciniki da fifikon mafita, ci gaba da haɓaka ci gaba.

A tsawon lokaci, biyan kuɗin yana ƙara samun tallafi mai girma, kamar haɗa maki bayanai daga mafita kamar Zuƙowa, Ƙungiyoyi, ServiceNow, Cradlepoint, da Zebra don yin hasashen aiki na gaba don magance matsalar aiki zuwa wani takamaiman fasali. Kuma ci gaban zai ci gaba ne kawai.
Juniper's AIOps yana hanzarta tura kayan aiki, sauƙaƙe ayyuka, da ƙananan TCO.

Koyi yadda.

07. Cikakken tari YANZU

Haɗin hanyoyin haɗin Juniper sun dogara da haɗaɗɗen telemetry, sarrafa kansa na aiki, DevOps, da ML don ba da damar ingantaccen hanyar sadarwa da tsinkaya. Babban tsarinmu ga AI a cikin hanyar sadarwar ya haifar da ɗimbin masana'antu na farko, gami da:

• Amintaccen haɗin kai ga ɗalibai, masu siyayya, marasa lafiya, da ma'aikata
• Fadada kuma sabunta Wi-Fi tare da ƙarfi
• Gane kuma amintaccen wayar hannu da na'urori tare da NAC

Samun damar waya
Amintaccen haɗin gwiwa da aminci don kasuwanci

• Amintaccen haɗin kai don IoT, APs, da na'urori masu waya
• Haɗa da kare IoT da masu amfani tare da microsegmentation
• Gane da amintaccen na'urori tare da NAC

Sabis na wurin gida
Isar da gwaninta na keɓaɓɓen mai amfani na tushen basira

• Yi hulɗa tare da ɗalibai, masu siyayya, marasa lafiya, da ma'aikata
• GPS na cikin gida da wurin kadara
• Binciken tushen wuri

Amintaccen hanyar shiga reshe
Amintacciya, abin dogaro, da haɗin kai ga ofisoshin reshe na duniya

• Amintaccen SD-WAN/SASE
• Kasuwancin da aka rarraba
• Inganta WAN don aikace-aikacen girgije

07. Cikakken tari YANZU

Haɗin hanyoyin haɗin Juniper sun dogara da haɗaɗɗen telemetry, sarrafa kansa na aiki, DevOps, da ML don ba da damar ingantaccen hanyar sadarwa da tsinkaya. Babban tsarinmu ga AI a cikin hanyar sadarwar ya haifar da ɗimbin masana'antu na farko, gami da:

• Daidaitawar AI-Driven RF mai aiki don ingantacciyar gogewar mara waya a cikin mahalli
• Ɗaukar fakiti mai ƙarfi a cikin LAN da WAN, yana ba da aiki da kai mara misaltuwa, gani da ƙudurin fitowa.
• Binciken tushen tushen atomatik don ganowa da sauri da magance matsalolin cibiyar sadarwa, rage MTTR da kawar da mafi yawan tikitin matsala.
• Twin Kwarewar Dijital na AI-Native don ganowa da kuma magance matsalolin hanyoyin sadarwa, mara waya, da WAN kafin su yi tasiri ga masu amfani.

Gaskiya ga sunanta, AI-Native Full Stack shima ya wuce campmu da reshe da kuma kara a cikin rarraba harkokin kasuwanci. Domin misaliampda:

• VNA na AI-Native wanda ke jujjuya ayyukan cibiyar bayanai tare da fa'ida mai fa'ida da sauƙaƙan tambayoyin tushen ilimi ta hanyar dabarar tattaunawa mai zurfi tare da tsarin sadarwar tushen niyya (IBN), haɓaka lokaci, da haɓaka ƙuduri.
• Juniper Mist Routing Assurance yana ba da damar AIOps don ci gaba da ayyukan WAN, yana ba da hangen nesa da hangen nesa mai fa'ida don sauƙaƙe matsala, rage MTTR / MTTI, da sarrafa tushen tushen bincike a gefen kasuwancin.
• Tsaro na AI-Native yana tabbatar da gani da aiwatarwa ta hanyar ingantattun ababen more rayuwa tare da mafi kyawun kariyar barazanar a cikin juniper switches, masu tuƙi, da APs a duk faɗin c.ampmu, reshe, cibiyar bayanai, da muhallin gajimare, haɓaka haɓaka aiki a cikin ƙungiyoyin cibiyar sadarwa da ayyukan tsaro

Cikakken tari TO? 

M:
Marchitecture yayi alƙawarin babban aiki amma ya gaza; cobbled-tare mafita

Gudanarwa mai wahala:
Yana buƙatar mu'amalar gudanarwa da yawa, galibi tare da hadaddun CLI

Haɗin kai iyaka:
Rashin haɗin kai mara kyau a cikin mahallin sadarwar da mafita

Mai da martani:
Yana buƙatar martanin hannu ga al'amura bayan sun faru

Cikakken tari YANZU

Mai ƙarfi:
Injiniya don biyan buƙatun kasuwancin yau da gobe

Gudanarwar AI-Native:
Gudanar da haɗin kai, wanda aka gina tare da haɗin gwiwar AI daga ƙasa zuwa sama

Cikakken haɗin kai:
Haɗaɗɗen dandamali wanda ke nuna babban LAN, WAN, cibiyar bayanai, sabis na wuri, tsaro, da buɗaɗɗen gine-ginen API don haɗin kai mara kyau tare da ServiceNow, Ƙungiyoyi/Zowa, Cradlepoint, Zebra, da ƙari.

Mai aiwatarwa:
Mai ikon gano al'amura da rage su kafin su yi tasiri ga masu amfani

Hotunan fa'ida

Cikakkar tsarin tarawa na AI-Native yana kawo ingantattun abubuwan da ba a taɓa gani ba zuwa hadaddun campmu da muhallin reshe. Anan akwai kaɗan na zamani na zamaniamples.

"Kwarewar mai amfani da hanyar sadarwar da Juniper ke bayarwa ya wuce duk wani abu a kasuwa. Sauƙin aikin Juniper da ƙarfin warkar da kai, tare da ma'aunin ƙwarewar mai amfani da yake bayarwa, sun yi fice."

Neil Holden, CIO, Halfords

8x saurin wartsakewar hanyar sadarwa

Jami'ar George Washington tana haɓaka gogewa
Na zamani, hanyar sadarwa mara waya da ke sarrafa gajimare yana sauƙaƙa sarrafa cibiyar sadarwa da magance matsala, yana haifar da ingantacciyar gogewa ga IT da masu amfani akai-akai.

Sama da $500k tanadi a shekara

Lardin London na Brent yana ƙara yawan yawan ma'aikata
Cibiyar sadarwa ta AI-Native tana ba da haske ga IT cikin al'amurra tare da shawarwarin gyare-gyare, daidaita ƙalubalen gudanarwa mai gudana.

90%+ raguwa a tikitin matsala na hanyar sadarwa

Halfords ya dogara da AIOps don canjin dillali
Ta hanyar karkata zuwa ga ɗan ƙasan girgije, tsarin AI-Native, Halfords ya sauƙaƙe ƙalubalen gudanarwa yayin ba da damar hanyoyin siyayya na gaba-gaba.

Cikakken jagorar aikin hanyar sadarwar tari

Idan aka yi la'akari da girman abubuwan turawa da haɓakar fasahar sadarwar har zuwa kwanan nan, rikitarwa ya daɗe yana mamaye campmu da sadarwar reshe. Gabatarwar AI-Native Networking yana canza komai.

Kodayake cibiyar sadarwa koyaushe tana girma ko tana canzawa a fadin campmu da reshe muhalli s, tsarin AI-Native Full Stack yana ba da damar da ba a taɓa ganin irin ta ba don yanke rikiɗar da ba dole ba, kamar masu sarrafawa da rarrabuwar kawuna na gudanarwa, da daidaitawa tare da mafi kyawun mafita na iri a duk faɗin IT. Hakanan yana iya samar da matakin "daidai" matakin damar AI da ake buƙata don sadar da matsakaicin fitarwa, yana tallafawa keɓaɓɓen mai amfani da ƙwarewar IT a mafi ƙarancin TCO da OpEx.

Kuma kamar ruwan inabi mai kyau, zai yi kyau a kan lokaci.

01. Gano damar PoC
Gano dama a cikin campmu da reshe don shiga cikin PoC (misali, sabon shafi ko haɓaka kayan aiki).

02. Fara da gwajin ƙananan haɗari
Gwada AI akan Mu don tura tare da zirga-zirgar samarwa kai tsaye kuma duba yadda mafitarmu ta dace da ƙungiyar ku. Fara ko'ina cikin cikakken tari tare da kowane haɗin Wi-Fi, sauyawa, da/ko mafita na SD-WAN.

03. Kware da bambanci
Dubi yadda tsarin AI-Native yana ba da mafi sauƙi, aiki, da aminci.

04. Fadada aikinka
Fadada isar ku ta hanyar haɗa ƙarin wurare kamar campmu, wuraren reshe, NAC, cibiyoyin bayanai, firewalling, da Enterprise Edge.

Matakai na gaba

Bincika cikakken jigon Juniper
Zurfafa zurfafa cikin cikakken damar iyawa da mafita don campmu da reshe.
Bincika mafitanmu →
AI a kan mu →

Dubi Mist AI yana aiki
Dubi yadda gajimare na microservices na zamani a cikin Juniper Mist AI ke ba da ganuwa na gaskiya, aiki da kai, da tabbaci.
Kalli demo ɗin da ake buƙata →

 

Me yasa Juniper
Juniper Networks ya yi imanin cewa haɗin kai ba ɗaya bane da fuskantar babban haɗi. Juniper's AI-Native Networking Platform an gina shi daga ƙasa har zuwa yin amfani da AI don sadar da keɓaɓɓen, mai aminci, da dorewar gogewar mai amfani daga gefen zuwa cibiyar bayanai da gajimare. Kuna iya samun ƙarin bayani a juniper.net ko haɗi tare da Juniper a kunne
X (tsohon Twitter), LinkedIn, da Facebook.

Karin bayani
Don ƙarin koyo game da Juniper Networks AI-Native Networking Full Stack mafita, tuntuɓi wakilin Juniper ko abokin tarayya, ko ziyarci mu webYanar Gizo: https://www.juniper.net/us/en/campus-da-reshe.html

Bayanan kula da nassoshi
01. Megatrends Gudanar da hanyar sadarwa 2024:
Ƙwarewar Ƙwarewa, Haɓaka da Multi-Cloud, SASE, da Ayyukan AI-Driven. EMA akan buƙata webciki
02. Ibid.
03. Ibid.
04. Fas ɗin Kwararrun NetOps, kashi na 9: “AI/ ML da NetOps—Tattaunawa da EMA ta Masanin NetOps,” Yuli 2024.

© Haƙƙin mallaka Juniper Networks Inc. 2024.

An kiyaye duk haƙƙoƙi.

Abubuwan da aka bayar na Juniper Networks Inc.
1133 Innovation Way
Sunnyvale, CA 94089
7400201-001-EN Oktoba 2024
Juniper Networks Inc., alamar Juniper Networks, juniper.
net, Marvis, da Mist AI alamun kasuwanci ne masu rijista na Juniper Networks Incorporated, masu rijista a Amurka da yankuna da yawa a duniya. Wasu samfur ko sunayen sabis na iya zama alamun kasuwanci na Juniper Networks ko wasu kamfanoni. Wannan takaddar tana halin yanzu har zuwa farkon ranar bugawa kuma Juniper Networks na iya canza shi a kowane lokaci. Ba duk kyauta ake samu a kowace ƙasa da Juniper Networks ke aiki ba.

Ƙayyadaddun bayanai

• Sunan samfur: Cikakkar Maganin Sadarwar Tari
• Maƙerin: Juniper
• Fasaloli: AI-Native da kuma ɗan asalin gajimare cikakken tari bayani fayil
• Fa'idodi: Cibiyoyin sadarwa masu ƙarfi da haɓakawa, AI da damar aiki da kai, sauƙaƙe gudanarwa, ingantaccen ƙwarewar mai amfani

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Tambayoyin da ake yawan yi (FAQ)

Menene mabuɗin fa'idodin Cikakkun Hanyoyin Sadarwar Sadarwar Stack?

Maganin yana ba da hanyoyin sadarwa masu ƙarfi da ƙima, AI da ikon sarrafa kansa, sauƙaƙe gudanarwa, ingantaccen ƙwarewar mai amfani, da rage farashi.

Yaya mahimmancin shigar da bayanai ke da girma wajen haɓaka fitar da mafita na AI?

Shigar da bayanai yana taka muhimmiyar rawa wajen tabbatar da ingancin hanyoyin AI a cikin sadarwar IT. Abubuwan shigar da bayanai masu inganci suna haifar da ingantacciyar sakamako.

Takardu / Albarkatu

Juniper Cikakkun Tarin Input, Mafi Girman fitarwa [pdf] Jagorar mai amfani Cikakkun Cikakkun Cikakkun Mahimman Bayanai, Matsakaicin Mahimmancin Fitarwa, Matsakaicin Fitarwa, Mafi girman Fitarwa, Fitowa

Magana

• Manual mai amfani