Juniper Full Stack Input, Maximum Output

ZOTHANDIZA USER

Zolowetsa Zonse, Zotulutsa Zambiri:

Momwe Mungapangire Bwino Kwambiri pa AI mu Networking

Kugwiritsiridwa ntchito kwa ma network amtundu wabwino kwambiri kuti mupereke zokumana nazo zapadera

 

Kuganizanso <campife ndi ma network network a nthawi ya AI

Ma CEO padziko lonse lapansi apereka malangizo amakampani kuti agwiritse ntchito nzeru zamakono (AI) pabizinesi yonse. Amafuna kusintha magwiridwe antchito ndikupeza ndalama zobisika. Ndipo ogulitsa m'magawo onse, kuphatikiza ma network a IT, akufunitsitsa kugwiritsa ntchito mwayiwu.

Kwa atsogoleri ochezera pa intaneti omwe amayang'anira zovuta komanso zodula campife ndi malo a nthambi, mafunso ofunika kwambiri atuluka:

• Ma advan angatitagKodi AI ingathedi kutumiza?
• Kodi kulolera koyenera kwa ziwopsezo ndi kotani?
• Njira yabwino yopititsira patsogolo zotuluka ndi iti?

Ndi zosankha zambiri zomwe zilipo kuti zitumizidwe, zenizeni zomwe zimaperekedwa ndi kuwoneratu zam'tsogolo, luso, ndi ukatswiri ndizofunikira kwambiri kuposa kale. Ndipo ogulitsa omwe amatsata AI agawika m'magulu angapo, kuphatikiza:

• Siloed, ma niche mavenda omwe ali ndi kuthekera kosiyanasiyana kwa AI omwe sangathe kutulutsa zonse campife ndi kuphatikiza nthambi
• Ogulitsa omwe ali ndi mayankho osiyanasiyana a bolt-pa AI omwe amapanga chinyengo cha magwiridwe antchito athunthu.
• Ogulitsa omwe ali ndi zomangira zokhazikika zotsimikizika zopangidwa kuchokera pansi mpaka kugwiritsa ntchito kuthekera konse kwa AI

Dziwani zambiri za Juniper's AI-Native komanso mtambo wamtundu wathunthu wa stack solution portfolio.
Dziwani zambiri →

Chotsatirachi chikuyimira kusintha kofunikira pa intaneti:

Kuphatikizika kolimba pakati pa zida zapaintaneti zoswana bwino kwambiri ndi zida zatsopano za AI-Native kumabweretsa ogwiritsa ntchito bwino komanso zokumana nazo za ogwiritsa ntchito - kutanthauziranso tanthauzo la mawu oti "full stack" pamawonekedwe amakono apaintaneti.

Juniper amakhulupirira kuti maukonde otsogola amasiku ano akuyenera kukhala amphamvu komanso owopsa pothandizira zomwe bizinesi ikufuna. Ndipo akuyenera kuphatikiza luso la AI ndi makina odzipangira okha omwe amathandizira kasamalidwe kosavuta komanso kutsitsa mtengo kwinaku akuwongolera ndikupeza zokumana nazo za ogwiritsa ntchito kuyambira koyambira mpaka kumapeto.

Ebook iyi ikufotokoza nkhani yomwe ikusintha. Imawunika momwe data imagwirira ntchito pamanetiweki a AI komanso kufunikira kolumikizirana mabizinesi, mayankho athunthu. Imawunikiranso kufunikira kwa zolowetsa zamtundu wabwino kuti zitsimikizire kutulutsa kwakukulu kwa yankho la AI mumanetiweki a IT.

Tiyeni tiyambe

max·i·mum out·put [dzina]

Kupindula kwa magwiridwe antchito apamwamba kwambiri pamanetiweki, omwe amadziwika ndikupereka zokumana nazo zapadera komanso zotetezeka pamanetiweki a LAN ndi WAN. Izi zikuphatikiza masinthidwe ndi mphamvu, kuchita bwino, magwiridwe antchito osavuta, komanso kupeza TCO yotsika kwambiri ndi OpEx.

Key takaways

Kupyolera mu luso monga kusanthula ndi kukonza zolosera, zodziwikiratu, ndi kuwunika kwanzeru pamanetiweki, AI yatulukira ngati mphamvu yosinthira pamaneti. Mu campife ndi malo ogawa nthambi, njira yoyenera ya "full stack" ingachepetsenso zovuta ndi ndalama.

1. Zochuluka zenizeni ndizoposa "zomangamanga"
Njira yamakono imagwiritsa ntchito njira yogwirizana ya hardware ndi mapulogalamu (kuphatikizapo AI), mothandizidwa ndi 100% yotseguka API zomangamanga kuti zithetse ntchito ndi kukonza zochitika.

2. AI mu maukonde ndi mkulu-chiwopsezo, chochepa
AI pamanetiweki imadziwika chifukwa chakutha kwake kupereka mwachangu, mosasinthasintha, komanso zofunikira kwa ogwiritsa ntchito ndi IT.

3. Zosakaniza bwino kwambiri, zolowetsa zonse zimakulitsa zotulutsa
Kusonkhanitsa ndi kugwiritsa ntchito zolowa kuchokera ku LAN, WAN, chitetezo, ndi kupitirira kwa AI kumapereka mwayi womwe sunachitikepo.

4. Kuoneratu zam'tsogolo ndi kukhwima ndizofunikira
Ndikofunikira kugwiritsa ntchito ma algorithm okhwima komanso ophunzirira mosalekeza pama data osungidwa bwino.

5. Gulu limadziwitsa za kuyimba kosalekeza
Kupitilira zigawo zaukadaulo, kulinganiza koyenera ndi kuyimba mkati mwamagulu ogulitsa ndikofunikira.

6. AI-Mbadwa zonse zimapambana
Juniper imapereka yankho lokhalo la AI-Native komanso lamtambo lamtambo lomwe lingasinthe mwayi wapaintaneti.

Zolepheretsa zazikulu za kupambana kwa NetOps zikuphatikizapo shortagndi anthu aluso, zida zowongolera zambiri, kusakwanira kwa data pamanetiweki, komanso kusowa kwa mawonekedwe amitundu yosiyanasiyana, malinga ndi kafukufuku wa EMA.

Pafupifupi 25% yamagulu ogwira ntchito pa intaneti akugwiritsabe ntchito zida zapakati pa 11-25 pakuwunika, kuyang'anira, ndi kuthetsa mavuto.

30% yamavuto amtaneti ndi chifukwa cha zolakwika zamanja

Lonjezo losatsutsika la AI pamanetiweki

Masiku ano campife ndi maukonde a nthambi amagwira ntchito ngati ma circulatory and nervous system abizinesi.
Amathandizira kuyenda kofunikira kwa data ndikupangitsa kuyankha mwachangu, mwanzeru.
Kulumikizana kulikonse kwa intaneti kumakhala ndi kuthekera koyendetsa zokolola ndi zatsopano.
Komabe kusunga izi kugwirizana web sizinakhalepo zovuta kwambiri.

Magulu a IT akulimbana ndi zofuna zabizinesi zomwe zikukula mwachangu. Amayang'anizana ndi zovuta zoteteza malo owukira omwe akuchulukirachulukira ku ziwopsezo zapamwamba. Ndipo amayenera kulimbana ndi zida zatsopano, mitundu yolumikizira, komanso kuchuluka kwa mapulogalamu omwe akuyendetsa zosowa za bandwidth.

Kulinganiza kufunikira koyerekeza ndi zovuta zazachuma ndi bajeti komanso kusowa kwa luso lapadera kumangowonjezera zovutazo.

M'malo awa, AI yatuluka ngati mphamvu yosinthira pamaneti. M'malo mwake, njira zotsogola zapaintaneti za AI zikuchepetsa kale kwambiri ndipo, nthawi zina, ngakhale kuthetsa zowawa zambiri zenizeni padziko lapansi. Eksampkuphatikizapo:

• Kusanthula molosera ndi kukonza: Zida zowongolera maukonde zoyendetsedwa ndi AI zimatha kusanthula zenizeni zenizeni ndikulosera zomwe zingachitike zisanachitike. Izi zimathandizira kukonza mwachangu ndikuchepetsa nthawi yopumira. Zimaphatikizanso kuzindikira zomwe zingawopseze chitetezo, kuzindikira zolakwika, ndikuwongolera magwiridwe antchito a netiweki.
• Zochita zokha ndi kuyimba: Makina okhathamiritsa a AI amathandizira maukonde kudzichiritsa, kudzikonza, komanso kudzikonza. Zonsezi zimabweretsa kuchepetsa kulowererapo pamanja ndikuwonjezera magwiridwe antchito pomwe kukweza zokumana nazo za ogwiritsa ntchito ndi ogwiritsa ntchito. Zida za orchestration zoyendetsedwa ndi AI zimathanso kupanga njira zovuta, monga kupereka maukonde ndikusintha kasamalidwe.
• Kuwunika kwanzeru pamanetiweki ndi kuzindikira: Zida zowunikira zoyendetsedwa ndi AI zimapereka mawonekedwe anthawi yeniyeni pamachitidwe a netiweki ndipo zimatha kupereka zidziwitso zotheka ndikupangitsa zisankho zoyendetsedwa ndi data.

Ma analytics oyendetsedwa ndi AI amatha kuzindikira zomwe zikuchitika, kuzindikira mawonekedwe, ndikupereka malingaliro pakukhathamiritsa, chitetezo, komanso kukonza luso.

Ngakhale luso la mitundu iyi lilipo masiku ano, ndizosiyana ndi zomwe zimachitika. Mayankho ambiri alibe kuphatikiza ndi deta yofunikira kuti asinthe kwambiri ntchito za tsiku ndi tsiku.

"Ngati mukufuna kupanga tier 2 / tier 3 pomwe mumalowera pa intaneti ndikuyesa kudziwa komwe vuto la [network] lili ndi momwe mungalikonzere - zolinga zambiri, nsanja za AIOps za domain-agnostic sizimatero. chitani icho; iwo si akatswiri olamulira.”

Shamus McGillicuddy, Wachiwiri kwa Purezidenti wa Research, EMA

04. Zolowetsa

Kutulutsa kwakukulu kumayamba ndi kuyika koyenera kwa data

Zikafika pakupeza phindu lathunthu kuchokera ku AI ndi kuphunzira pamakina (ML) pamanetiweki, kuchuluka kwake, kufikira, mtundu, nthawi, ndi kukonza - ndi zothandizira kusanthula ndi kuchitapo kanthu - ndizofunikira. Kupatula apo, zochita zothandizidwa ndi AI zimadalira kumvetsetsa bwino zomwe zikuchitika.

Kudziwa bwino zomwe zikuchitika, kumene zikuchitika, ndi chifukwa chake zikuchitika n'kofunika kwambiri kuti mudziwe mayankho a panthawi yake komanso oyenera. Ndipo deta yabwino ndiye mwala wapangodya wa chilichonse.

Monga momwe njira yopangira vinyo wapadera zimatengera zinthu zosiyanasiyana, kupangidwa kwa data yabwino ya AI muukonde wogwira ntchito kumachitanso chimodzimodzi. Mofanana ndi momwe vinyo amafunira mphesa yoyenera, nthaka, ndi nthawi yokalamba, ukadaulo wa maukonde, kugwira ntchito molimbika, ndi kuleza mtima ndizofunikira pakukulitsa ma data osiyanasiyana okhala ndi zidziwitso zolembedwa bwino komanso zosungidwa bwino.

Aliyense akhoza kusonkhanitsa deta yoyambira pa thanzi la intaneti ndikudyetsa mu injini ya AI. Komabe, kulimbikitsa AI yothandiza kwambiri yomwe imatha kupangitsa ogwiritsa ntchito mwapadera komanso kuchepetsa zabwino zabodza kumakhudzanso zinthu zambiri. Kuti akwaniritse zolingazi, ogulitsa akuyenera kuganizira chilichonse kuyambira kapangidwe ka bungwe mpaka kukonza ma hardware / mapulogalamu, kuchuluka kwa data, ndi zida. Kuphatikiza apo, ndikofunikira kugwiritsa ntchito okhwima komanso mosalekeza kuphunzira ma algorithm a sayansi ya data pamaseti osungidwa bwino.
Kuphatikiza apo, kukulitsa zotuluka kuchokera ku AI mumanetiweki kumadalira kuchuluka ndi kukula kwa zolowetsa deta. Ndipo apa ndipamene njira zambiri zolumikizirana ndi AI ndizochepa. Pakadali pano, njira zina zapaintaneti za IT zitha kusonkhanitsa deta kuchokera ku LAN, zina kuchokera ku WAN. Koma mayankho ochepa amatha kuphatikizira ndikugwiritsa ntchito deta kuchokera ku LAN ndi WAN (ndi kupitilira apo) mogwira mtima - zomwe timatcha "mulu wathunthu." Izi zikugogomezera kufunikira kofunikira kwa kuwoneratu zam'tsogolo kwa ogulitsa pakuwonetsetsa kuphatikizidwa ndi kugwirizana.

Udindo wa Input vs Output pakukweza maukonde a AI

LAN yabwino kapena WAN	Zabwino LAN ndi WAN	Maximum LAN, WAN, chitetezo, malo, ndi zina zambiri zokhala ndi AI-Native
Amapereka chogawanika view za magwiridwe antchito a netiweki ndi chitetezo	Imayamba kupereka zambiri zonse view za ntchito zapaintaneti, zomwe zimathandizira machitidwe a AI kupanga zisankho zodziwika bwino	Amapereka ma data athunthu ndipo amapereka panoramic view zomwe zimathandizira machitidwe a AI kukwaniritsa zomwe angathe
Zopindulitsa: Zochepa zolepheretsa zopindulitsa, zopatsa mphamvu zowonjezera pakuchita bwino komanso kuzindikira ziwopsezo.	Zopindulitsa: Imathandizira kusintha pang'onopang'ono pakuwongolera maukonde, kuchepetsa nthawi yopumira ndikuzindikira zovuta zovuta	Ubwino chithunzithunzi: • Imapatsa mphamvu AI kuti ikwaniritse bwino magwiridwe antchito a netiweki • Imalimbitsa chitetezo ndi kusanthula kwachiwopsezo cholosera • Amapereka zokumana nazo makonda anu

Kupitilira mitundu yachikhalidwe komanso yatsopano ya AI ya ogulitsa ambiri, njira ya Juniper ya AI-Native yodzaza imayimira gawo lotsatira pakukonza maukonde.

05. Kupititsa patsogolo zotuluka

Momwe AI-Native stack imathandizira kupititsa patsogolo maukonde

Pakadali pano, tazindikira chifukwa chake data yabwino ndiyomwe imathandizira AI komanso chifukwa chake kutulutsa kwakukulu pamanetiweki kumatengera chidziwitso chamtundu uliwonse. Funso lalikulu lotsatira ndilakuti: Ndi njira iti yabwino yopezera ndi kugwiritsa ntchito deta yabwino pamlingo uliwonse kuti muwongolere zotuluka pamanetiweki?

Njira yabwino kwambiri imagwiritsa ntchito njira yolumikizirana kudzera m'magulu otsogola amakampani ndi mapulogalamu - kuchuluka kwathunthu - kukhathamiritsa magwiridwe antchito, kuwongolera magwiridwe antchito, ndikuwongolera zomwe ogwiritsa ntchito amakumana nazo komanso chitetezo. Imathandizidwa ndi mtambo wa microservices ndi zomangamanga 100% zotseguka za API kuti zipitirire ku mayankho ena otsogola m'madera onse, monga 5G, ITSM, nsanja zolumikizirana, cybersecurity, ndi kuyenda.

Juniper ikusintha zosonkhanitsira zachikhalidwe zapaintaneti pogwiritsa ntchito zida zolumikizirana ndi maukonde ngati masensa, kujambula zambiri zamitundu yonse kuchokera ku LAN ndi WAN, komanso kuphatikiza chitetezo ndi zolowa zozikidwa pa malo. Za exampndi, mfundo zazikulu za njira yathu ndi (onani tsamba 12 kuti muwone chithunzi chachikulu):

• Telemetry yopititsidwa kumapeto mpaka-mapeto: Kuyeza 150+ zenizeni zenizeni za ogwiritsa ntchito opanda zingwe kudzera pakukhamukira kwa telemetry kuchokera ku ma routers, ma switch, ndi ma firewall, mothandizidwa ndi Mist AI ™ pakuwunikira zolosera.
• Kapangidwe kamtambo, kamangidwe ka ma microservices: Kuthandizira kukonza zenizeni zenizeni za data ya AI ndikupangitsa kuti pakhale zovuta, zolimba, komanso zogwira ntchito zamakina oyang'anira maukonde.
• Injini yodziwika bwino ya AI: Kuphatikizira kusanthula kwa data pa netiweki ndi kupanga zisankho pansi pa dongosolo limodzi, lanzeru loyendetsedwa ndi Mist AI lomwe limathandizira magwiridwe antchito, kuthetsa mavuto olosera, komanso kuphunzira mosinthika pamitundu yonse yapaintaneti.

Kupyolera mukuphunzira kosalekeza kwa ogwiritsa ntchito kutengera zambiri za telemetry, Juniper imaphatikizanso deta yogwiritsira ntchito pamodzi ndi deta ya intaneti. Izi zimathandiza dongosolo la AI kuphunzira za mapulogalamu omwe akugwiritsidwa ntchito ndikudziwiratu zomwe zingachitike pakugwiritsa ntchito kwa wogwiritsa ntchito potengera zovuta zapaintaneti.

Kuphatikiza apo, AI-Native Virtual Network Assistant yathu, Marvis™, imathandizira kasamalidwe ndizovuta. Marvis ali ndi mawonekedwe olankhulirana kuti athe kuthana ndi zovuta komanso njira yodzichitira yokha, yomwe imayendetsa kuwongolera kosalekeza kwa maukonde. Marvis alinso ndi Marvis Minis, mapasa oyamba a digito pamakampani. Ma Minis amazindikira mwachangu zovuta zamalumikizidwe zisanachitike, ndikutetezanso ogwiritsa ntchito kuti asakumane ndi zokhumudwitsa zapaintaneti.

M'magulu campife ndi malo ogawa nthambi, kuphatikiza uku ndikosintha kwamasewera. Imachotsa bwino kutulutsa, kuthetsa mavuto, ndi kukonza zovuta zomwe zimakweza mtengo, kutambasula magulu a IT mpaka malire awo, kumawononga zomwe ogwiritsa ntchito akukumana nazo, ndikulepheretsa kukhazikika komanso kuchita bwino. Pamodzi, amaphatikiza kusintha kwenikweni kwa njira yolumikizirana mabizinesi yomwe imangopitilira kuyenda bwino pakapita nthawi.

Kuwona chithunzi chachikulu

Maziko a netiweki yamakono yodzaza ndi zinthu zonse ndizofunikira kwambiri pakusintha kwake ndikupangitsa kusakanikirana kosagwirizana ndi madera atsopano ochezera - ndi kupitirira apo. Kuchulukitsa kusinthika kudzakhala chizindikiro cha nthawi yatsopano mumanetiweki a IT, kusokoneza mitundu yachikhalidwe ya TCO pamaukadaulo okhazikitsidwa ndikusintha zomwe zikuchitika pamanetiweki kwa onse ogwiritsa ntchito ndi ogwiritsa ntchito. Nawa ena osankhidwa kaleampza kuthekera komwe kukuwonetsa momwe Juniper akuganiziranso ntchito zonse za stack:

CHITHUNZI 1
Thandizo la AI-Native likupitabe bwino pakapita nthawi: kuchuluka kwa matikiti amtundu wamakasitomala a IT kumathetsedwa mwachangu ndi AI pazaka zingapo.

Ntchito zophatikizika zamalo

Malo olowera opanda zingwe (APs) omwe amathandizira gulu la 16-element Bluetooth® antenna kuti akhazikike / mawonekedwe a AP komanso mawonekedwe olondola azinthu ndi ma vBLE pazantchito zenizeni komanso zowopsa zomwe zitha kukulitsa chidwi cha ogwiritsa ntchito ndikupititsa patsogolo kayendedwe kantchito m'mafakitale.

SD-WAN yochita bwino kwambiri
SD-WAN yopanda tunnel, yokhazikitsidwa ndi gawo pogwiritsa ntchito Session Smart Networking kuti mugwiritse ntchito bwino bandwidth ndikulephera pompopompo kutengera momwe netiweki ikugwirira ntchito.

Chitetezo cha AI-Native Edge
Chitetezo, WAN, LAN, ndi NAC (Network Access Control) pakhoma limodzi logwira ntchito, lomwe limapereka chithandizo chapamwamba paziwopsezo pa liwiro la waya, komanso gawo lofunikira la AI-Native uZTNA ndi

Zomangamanga zochokera ku SASE
Kuphatikiza kopanda malire kwa data center
Industry-First Virtual Network Assistant (VNA) imapereka mawonekedwe omaliza mpaka-mapeto ndi chitsimikizo pamagawo onse amabizinesi, kuyambira c.ampife ndi nthambi ku data center

Advanced Routing chitsimikizo
AI-Native automation ndi zidziwitso zamakhalidwe am'mphepete mwa mitu

Wi-Fi 6E ndi zida za Wi-Fi 7 zotsogola
Ma APs adapangidwa kuti azichepetsa magwiridwe antchito a netiweki pomwe akukulitsa kukula ndi kuthekera. Ma switch amphamvu kwambiri a Wi-Fi 7 okhala ndi mphamvu yapakati komanso kasamalidwe ka data pamakina omanga

06. Kupitilira luso

Beyond teknoloji: kufunikira kwa dongosolo la bungwe

Kupeza zotulutsa zambiri kuchokera pamakina ochezera pa intaneti sikudalira ukadaulo womwe waperekedwa; zimatengeranso kwambiri dongosolo la bungwe.
Kukonzekera koyenera ndi kuyimba pamagawo osiyanasiyana aukadaulo komanso m'magulu omwewo ndikofunikira kuti apambane.
Ku Juniper, tapanga malo ogwirira ntchito pomwe magulu athu asayansi ya data ndi magulu othandizira makasitomala amagwira ntchito limodzi. Zogwirizana mwakuthupi komanso mwantchito, magulu onsewa amagwiritsa ntchito chida chathu chapamwamba cha AIOps kuti agwirizane ndi zovuta zamakasitomala zenizeni komanso mayankho.

Kugwirizana kumeneku kumatsimikizira kuti akatswiri athu a sayansi ya data ndi akatswiri amadomeni nthawi zonse amagwirizana ndikusintha zosowa za makasitomala ndikuyika patsogolo mayankho, ndikupititsa patsogolo kupita patsogolo.

M'kupita kwa nthawi, malipiro ake amakula kwambiri, monga kuphatikiza ma data kuchokera kumayankho monga Zoom, Magulu, ServiceNow, Cradlepoint, ndi Zebra kulosera mwachangu zomwe zidzachitike m'tsogolo pothana ndi vuto linalake. Ndipo kupita patsogolo kudzapitirira.
AIOps a Juniper amafulumizitsa kutumiza, kupangitsa kuti ntchito zikhale zosavuta, komanso kuchepetsa TCO.

Phunzirani momwe mungachitire.

07. Mulu wathunthu TSOPANO

Mayankho ophatikizika a Juniper amadalira kuphatikiza kwa telemetry, automation ya workflow, DevOps, ndi ML kuti athe kukhala ndi netiweki yosinthika komanso yodziwikiratu. Njira yathu yonse ya AI pamanetiweki yapangitsa kuti pakhale makampani ambiri, kuphatikiza:

• Kulumikizana kodalirika kwa ophunzira, ogula, odwala, ndi antchito
• Wonjezerani ndi kutsitsimutsa Wi-Fi ndi mphamvu
• Dziwani ndikuteteza mafoni ndi zida ndi NAC

Kufikira kwa mawaya
Malumikizidwe odalirika komanso otetezeka abizinesi

• Kulumikizana kodalirika kwa IoT, APs, ndi zida zamawaya
• Lumikizani ndikuteteza IoT ndi ogwiritsa ntchito ndi microsegmentation
• Dziwani ndikuteteza zida ndi NAC

Ntchito zamalo amkati
Limbikitsani zokumana nazo za ogwiritsa ntchito mwachidziwitso

• Lankhulani ndi ophunzira, ogula, odwala, ndi antchito
• GPS yamkati ndi malo azinthu
• Ma analytics otengera malo

Kutetezedwa kwa nthambi
Kulumikizana kotetezeka, kodalirika, komanso kosasokonekera kwa maofesi anthambi apadziko lonse lapansi

• Sungani SD-WAN/SASE
• Bizinesi yogawa
• Konzani WAN pa mapulogalamu amtambo

07. Mulu wathunthu TSOPANO

Mayankho ophatikizika a Juniper amadalira kuphatikiza kwa telemetry, automation ya workflow, DevOps, ndi ML kuti athe kukhala ndi netiweki yosinthika komanso yodziwikiratu. Njira yathu yonse ya AI pamanetiweki yapangitsa kuti pakhale makampani ambiri, kuphatikiza:

• Kusintha kwa Proactive AI-Driven RF kuti mukhale ndi mawonekedwe abwino opanda zingwe m'malo osiyanasiyana
• Kujambula mapaketi amphamvu mu LAN ndi WAN, kumapereka makina osayerekezeka, mawonekedwe ndi kuthetsa vuto
• Kusanthula kwazomwe zimayambitsa kuwunika mwachangu ndikuthana ndi zovuta zama network, kuchepetsa MTTR ndikuchotsa matikiti ambiri ovuta.
• An AI-Native Digital Experience Twin kuti azindikire mwachangu ndikuthana ndi mavuto omwe angakhalepo pa intaneti, opanda zingwe, ndi WAN asanakhudze ogwiritsa ntchito.

Mogwirizana ndi dzina lake, AI-Native Full Stack yathu imapitiliranso campife ndi nthambi ndi kupitilira mu bizinesi yogawidwa. Za exampLe:

• AI-Native VNA yomwe imasintha magwiridwe antchito a data center ndikuwunikira mwachangu komanso mafunso osavuta a chidziwitso kudzera munjira yolumikizirana yolumikizana molumikizana ndi intent-based networking system (IBN), kupititsa patsogolo nthawi, komanso kuthamangitsa ziganizo.
• Juniper Mist Routing Assurance imathandizira ma AIOps pamachitidwe apamwamba a WAN, kupereka mawonekedwe amayendedwe ndi zidziwitso zachangu zomwe zimathandizira kuthetsa mavuto, kutsitsa MTTR / MTTI, ndikuwunikira zoyambitsa zoyambira m'mphepete mwa bizinesi.
• AI-Native Security imawonetsetsa kuwoneka ndi kukhazikitsidwa kudzera pazida zotetezedwa zotetezedwa zotetezedwa bwino kwambiri pamasewera a Juniper, ma routers, ndi ma AP kudutsa c.ampife, nthambi, malo opangira data, ndi malo amtambo, kukulitsa zokolola pamanetiweki ndi magulu achitetezo

Full stack NDIYE? 

Zolimba:
Marchitecture imalonjeza kuchita bwino kwambiri koma imakhala yochepa; cobbled-pamodzi zothetsera

Utsogoleri wovuta:
Imafunika maulamuliro angapo, nthawi zambiri okhala ndi CLI yovuta

Zophatikiza zochepa:
Imasowa zophatikizira mopanda malire m'malo ochezera a pa intaneti ndi mayankho

Zokhazikika:
Pamafunika mayankho pamanja pazovuta zikachitika

Zodzaza TSOPANO

Zamphamvu:
Adapangidwa kuti akwaniritse zofuna zamabizinesi lero ndi mawa

AI-Native Management:
Kasamalidwe kogwirizana, komangidwa ndi AI yophatikizidwa kuyambira pansi

Zophatikiza zonse:
Pulatifomu yolumikizana yomwe ili ndi LAN yotsogola, WAN, malo opangira data, ntchito zamalo, chitetezo, ndi mapangidwe otseguka a API ophatikizana ndi ServiceNow, Teams/Zoom, Cradlepoint, Zebra, ndi zina zambiri.

Kukhazikika:
Kutha kuzindikira zovuta ndikuzichepetsa zisanakhudze ogwiritsa ntchito

Ubwino zithunzi

Njira yathunthu ya AI-Native imabweretsa zovuta zomwe sizinachitikepo m'mbuyomu campife ndi nthambi zachilengedwe. Nawa ochepa chabe akale adziko lenileniamples.

"Zomwe akugwiritsa ntchito pa intaneti zomwe Juniper amapereka zimaposa china chilichonse pamsika. Kuchita bwino kwa Juniper komanso kudzichiritsa nokha, komanso njira zomwe ogwiritsa ntchito amathandizira, ndizabwino kwambiri. ”

Neil Holden, CIO, Halfords

8x kutsitsimutsa kwa netiweki mwachangu

George Washington University imawonjezera zochitika
Netiweki yamakono, yoyendetsedwa ndi mitambo komanso opanda zingwe imathandizira kasamalidwe ka netiweki ndikuthetsa mavuto, zomwe zimapangitsa kuti pakhale zokumana nazo zabwinoko za IT ndi ogwiritsa ntchito.

Kupulumutsa $500k pachaka

London Borough of Brent imawonjezera zokolola za antchito
Netiweki ya AI-Native imapatsa IT kuwonekera momveka bwino pazovuta komanso zokonzedwa, ndikuwongolera zovuta zowongolera.

90% + kuchepetsa matikiti amavuto a netiweki

Halfords amadalira AIOps kuti asinthe malonda
Potsata njira yamtambo, AI-Native, Halfords yachepetsa zovuta zowongolera ndikupangitsa njira zogulira m'badwo wotsatira.

Kalozera wathunthu wamanetiweki

Poganizira kuchuluka kwa kutumizidwa komanso kusinthika kwaukadaulo wapaintaneti mpaka posachedwa, zovuta zakhala zikulamulira kwa nthawi yayitali.ampife ndi nthambi networking. Kukhazikitsidwa kwa AI-Native Networking kumasintha chilichonse.

Ngakhale maukonde nthawi zonse kukula kapena kusintha kudutsa campife ndi chilengedwe cha nthambi, njira ya AI-Native Full Stack imapereka mwayi womwe sunachitikepo kuti muchepetse zovuta zosafunikira, monga owongolera ndi nsanja zogawika za kasamalidwe, ndikugwirizana ndi njira zoswana bwino kwambiri padziko lonse la IT. Itha kuperekanso mulingo "woyenera" wa kuthekera kwa AI wofunikira kuti apereke zotulutsa zambiri, kuthandizira ogwiritsa ntchito apadera komanso zochitika za IT pa TCO yotsika kwambiri ndi OpEx.

Ndipo mofanana ndi vinyo wabwino, zidzakhala bwino pakapita nthawi.

01. Dziwani mwayi wa PoC
Pezani mwayi mu campife ndi nthambi kuti tichite nawo PoC (mwachitsanzo, tsamba latsopano kapena kukweza zida).

02. Yambani ndi kuyesa kwachiwopsezo chochepa
Yesani AI pa Ife kuti tigwiritse ntchito ndi kuchuluka kwa anthu opanga zinthu ndikuwona momwe mayankho athu akukwaniritsira gulu lanu. Yambitsani paliponse mulu wathunthu ndi kuphatikiza kulikonse kwa Wi-Fi, kusintha, ndi/kapena SD-WAN mayankho.

03. Dziwani kusiyana kwake
Onani momwe njira ya AI-Native imapereka kuphweka, zokolola, komanso kudalirika.

04. Wonjezerani ntchito yanu
Wonjezerani kufikira kwanu pophatikiza madera ena monga campife, malo a nthambi, NAC, malo opangira data, firewalling, ndi Enterprise Edge.

Masitepe otsatira

Onani zambiri za Juniper
Pitani mozama muzambiri zomwe zingatheke ndi mayankho a campife ndi nthambi.
Onani mayankho athu →
AI pa Ife →

Onani Mist AI ikugwira ntchito
Onani momwe mtambo wamakono wa microservices ku Juniper Mist AI umapereka mawonekedwe enieni, makina, komanso chitsimikizo.
Onerani chiwonetsero chathu chomwe tikufuna →

 

Chifukwa Juniper
Juniper Networks amakhulupirira kuti kulumikizana sikufanana ndi kukumana ndi kulumikizana kwakukulu. Juniper's AI-Native Networking Platform imamangidwa kuchokera pansi mpaka kukulitsa AI kuti ipereke zokumana nazo zapadera, zotetezeka kwambiri, komanso zokhazikika za ogwiritsa ntchito kuchokera m'mphepete kupita kumalo opangira data ndi mtambo. Mutha kupeza zambiri pa juniper.net kapena kulumikizana ndi Juniper pa
X (omwe kale anali Twitter), LinkedIn, ndi Facebook.

Zambiri
Kuti mudziwe zambiri za Juniper Networks AI-Native Networking Full Stack yankho, funsani woimira Juniper kapena mnzanu, kapena pitani kwathu. webWebusayiti: https://www.juniper.net/us/en/campus-and-branch.html

Zolemba ndi maumboni
01. Network Management Megatrends 2024:
Mipata Yamaluso, Hybrid ndi Multi-Cloud, SASE, ndi Ntchito Zoyendetsedwa ndi AI. EMA pakufunika webmkati
02. Ibid.
03. Ibid.
04. The NetOps Expert podcast, episode 9: “AI/ML and NetOps—A Conversation with EMA by the NetOps Expert,” July 2024.

© Copyright Juniper Networks Inc. 2024.

Maumwini onse ndi otetezedwa.

Malingaliro a kampani Juniper Networks Inc.
1133 Njira Yatsopano
Sunnyvale, CA 94089
7400201-001-EN Okutobala 2024
Juniper Networks Inc., logo ya Juniper Networks, juniper.
net, Marvis, ndi Mist AI ndi zilembo zolembetsedwa za Juniper Networks Incorporated, zolembetsedwa ku US ndi zigawo zambiri padziko lonse lapansi. Maina ena ogulitsa kapena mautumiki atha kukhala zizindikilo za Juniper Networks kapena makampani ena. Chikalatachi ndi chapano monga tsiku loyamba lofalitsidwa ndipo chitha kusinthidwa ndi Juniper Networks nthawi iliyonse. Sizopereka zonse zomwe zimapezeka m'maiko onse omwe Juniper Networks amagwira ntchito.

Zofotokozera

• Dzina lazogulitsa: Full Stack Networking Solution
• Wopanga: Juniper
• Mawonekedwe: AI-Native komanso mtambo-native full stack solution portfolio
• Ubwino: Ma network osinthika kwambiri komanso owopsa, AI ndi kuthekera kongochita zokha, kasamalidwe kosavuta, luso la ogwiritsa ntchito

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Mafunso Ofunsidwa Kawirikawiri (FAQ)

Kodi maubwino otani a Full Stack Networking Solution?

Yankho lake limapereka maukonde osinthika kwambiri komanso owopsa, AI ndi kuthekera kodzipangira okha, kasamalidwe kosavuta, zokumana nazo zabwino za ogwiritsa ntchito, komanso kuchepetsa ndalama.

Kodi kuyika kwa data ndikofunikira bwanji pakukulitsa kutulutsa kwa mayankho a AI?

Kuyika kwa data kumachita gawo lofunikira pakuwonetsetsa kuti mayankho a AI akugwira ntchito pamanetiweki a IT. Kuyika kwa data yabwino kumabweretsa zotsatira zabwino.

Zolemba / Zothandizira

Juniper Full Stack Input, Maximum Output [pdf] Buku Logwiritsa Ntchito Kutulutsa Kochuluka Kwambiri, Kutulutsa Kwambiri kwa Stack, Kutulutsa Kwambiri, Kutulutsa Kwambiri, Kutulutsa

Maumboni

• Buku Logwiritsa Ntchito