Sezvo tekinoroji ichikwira kumberi, kubatanidzwa kwehunyanzvi huri kusimukira mumaindasitiri akasimbiswa kwave kutarisisa, neAI uye kudzidza muchina kuri pakati pekushanduka uku. Kuongorora uku kunotarisisa kuti matekinoroji aya ari kuitwa sei mukati mee-commerce, supply chain, uye SaaS application.  Anotungamira nhaurirano kumberi uku ndiSyed Aamir Aarfi, maneja weChigadzirwa Mukuru ane ruzivo anounza ruzivo rwakakura muhunyanzvi hwehutungamiriri hwechigadzirwa pane ese e-commerce, SaaS, kufamba, kugovera ketani, uye inoputika AI/ML mamiriro. Rwendo rwaAarfi rwakatangira paCarnegie Mellon University, uko zvidzidzo zvake zvekutonga zvigadzirwa uye sainzi yedata zvakaisa nhanho yezvipo zvake zvine simba. Anotsanangura, "Kubudirira kutorwa kweAI / ML kunoda chiono chakasanganiswa nekuitwa kwakarongeka," achisimbisa maitiro ake anoshanda asi ane chishuwo ekuisa mhinduro dzinofambiswa neAI. Iyi tarisiro yakamupa simba rekugadzirisa zvinhu nekufungidzira analytics uye kukwidziridza e-commerce zviitiko kuburikidza nekurudziro yakasarudzika.  Aarfi yakazvipira kunyanya kuisa AI uye kudzidza muchina muzvigadzirwa kuti zvipe ruzivo rwakajeka uye kukosha kune vashandisi, chinangwa chaakatsanangura pachiri kutaura kwatakaita. Achititungamira pakuongorora mashandisirwo eAI/ML muzvikamu zvese, Aarfi akagovera nzwisiso yake pakuita kuti matekinoroji ari kusimukira asangoshanda chete asi akakosha kumaindasitiri avo.  Innovation Across Industries  Nemakore eruzivo muhutungamiriri hwechigadzirwa, Aarfi akagona nzira yemaitiro asi inochinjika yekubatanidza matekinoroji ari kusimukira seAI uye kudzidza muchina mumaindasitiri akasiyana. Anosimbisa kuti kunyangwe matekinoroji aya aine mukana unoshamisa, kuvatora kunoda pfungwa inoshanda, inotungamirwa nemhedzisiro. "Pragmatism ndiyo kiyi," Aarfi anoti, sezvaanosimbisa kukosha kwekuona kana mhinduro yeAI/ML ichinyatsopa kukosha kwekuwedzera pane dzimwe nzira maererano nekumhanya, chokwadi, scalability, uye kusimba. Chikamu chega chega, kubva pa-e-commerce kuenda kune cheni uye kufamba, chinoda yakasarudzika zano rakadzika midzi mumatambudziko chaiwo uye data data reiyo dura.  Aarfi anotsanangura kuti kubudirira kutorwa kweAI kunosanganisira kuona nzvimbo dzine simba guru uye kusimudzira tsika yekuyedza nekudzidza. Nekutanga nepamusoro-soro, data rakazara, anove nechokwadi chekuti AI/ML mhinduro dzinoshandiswa padzinonzwisisa zvakanyanya, kudzivirira zvisina basa kana kumanikidza-kukodzera kuita. Kana mukana weshanduko wakajeka, Aarfi akazvionera ega kuti AI inogona sei kugadzirisa zvinhu mumaketani ekugovera, kutyaira kurudziro yakasarudzika mu-e-commerce, uye kuwedzera ruzivo rwevatengi mukufamba kuburikidza nemutauro wechisikigo kugadzirisa. Sekutaura kwaanoita, "Kugamuchirwa kunobudirira kunoda chiono chakasanganiswa nekuitwa kwakarongeka," pamwe chete nemapoka-anoshanda uye anoenderera emhinduro loops kuti ave nechokwadi chekuti mamodheru anoshanduka uye kushandisa nyaya dzinowedzera sezvinodiwa. hutungamiriri muzvikamu.  Identity & Profitability  Yakadzika midzi mukuzvipira kwakasimba kwekunzwisisa mutengi padanho rega rega, maitiro eAarfi kumapurojekiti ane chekuita zvakanyanya, senge chitupa chekuzivikanwa uye purofiti optimization kuAmazon, ane hunyanzvi uye akatarisana nevatengi. Aarfi anosimbisa kuti, "Kubudirira kunotanga nekunzwisisa kwakadzama kwenzvimbo dzinorwadza dzevatengi," maitiro aanoita nekubatana zvakananga neakasiyana-siyana evashandisi. Pamapurojekiti ebhizinesi eB2B, izvi zvaireva kubvunzurudza kwakadzama nevanodarika makumi mashanu, kusanganisira vatengi. , vashandisi vekupedzisira, uye maadmins, vakanyatso gadzira mamepu akasiyana-siyana senge indasitiri uye nhanho yekugamuchirwa Idzi nhaurirano dzakavhurika dzakamubvumira kufumura matambudziko ekushanda uye zvakakosha kubva kune mutengi maonero, achivhenekera zvaanoti akakosha "basa rinofanira kuitwa" uye mhinduro dzavanokoshesa zvakanyanya.  Kupfuura ruzivo rwemhando, Aarfi inobatanidza ongororo yakasimba yehuwandu kuti ive nechokwadi chekuti hapana chikamu chemhinduro yemutengi chinoregeredzwa. Kuburikidza nemusanganiswa we data rekushandiswa kwechigadzirwa, ongororo, ongororo, uye tsigiro yekudyidzana, anotaridza madingindira anodzokororwa nenzvimbo dzakakosha dzezvinodiwa, achiisa hwaro hwakasimba hwemazano echigadzirwa. Nezviono izvi zviri muruoko, Aarfi inoshandisa inodzokorodza maitiro ekugadzira kudyidzana, kukurumidza prototypes, data sainzi kuyedza, uye inoenderera mberi yekusimbisa kutenderera kugadzirisa mhinduro dzinopfuura kushanda. Chinangwa chake chikuru, anotsanangura kudaro, "hachisi chekungounza maficha asi kugadzira zviitiko zvekupedzisira-kusvika-kumagumo izvo zvinopa kukosha kwakakosha," kuve nechokwadi chekuti sarudzo yega yega inosimudzira rwendo rwemutengi panzvimbo yega yega.  Redefining Traditional Industries  Kuunza AI neML muzvikamu zvakasimbiswa senge yekugovera uye e-commerce zvinopa akasiyana matambudziko ayo Aarfi akafambisa zvine hungwaru. Imwe yenyaya dzekutanga kugadzirira data, iyo yaanotsanangura, "Izvi zvinosanganisira kuvaka otomatiki mapaipi kuti abatanidze, kuchenesa, uye kugadzirisa dhata mukugadzira-giredhi datasets kuti iite modhi." Mapoka ematarenda ndechimwe chipingamupinyi chakakosha, chinoda zvikwata zvine musanganiswa we Unyanzvi hweAI/ML painjiniya yedata uye MLOps inogadzirisa izvi nekuunganidza zvikwata zvakasiyana-siyana kuburikidza nekusimudzira uye nehunyanzvi hwekuhaya. kuve nechokwadi musanganiswa wakakodzera wehunyanzvi hwekufambisa kunobudirira.  Kushanda shanduko manejimendi kwakakosha kugadzika kugamuchirwa, sezvakataurwa naAarfi kuti kugadzira AI kusimudzira mushandisi kufambiswa kwebasa uye kuvhura sandbox vatyairi vanotyaira kugamuchirwa uye nyore kushandisa. Pamusoro pezvo, hutongi hwakakosha, hunosanganisira kuyedzwa kwakarerekera, kutsanangurika, uye kudzora kutevedza mukudyidzana nezvikwata zvemutemo kuchengetedza tsika. Kusimbiswa kweROI, kunowanikwa nekuenzanisa kukosha kuburikidza nekuenzanisa uye kuenzanisa, inoenderera mberi nekuona kuti mhinduro dzeAI dzinoyerwa chete kana maitiro avo akajeka. Neiyi nzira yakazara, Aarfi inomisa hwaro hwakasimba hwekugarisa AI/ML kubatanidzwa, ichigadzira nzira yekunatsiridza kugutsikana kwevatengi uye kusimba kwekushanda.  AI-powered Recommendations  Imwe yezvakabudirira zvaAarfi mukusimudzira kushanda zvakanaka uye ruzivo rwemushandisi kwaive kuvandudzwa kweAI-powered kurudziro chikuva. Yakavakwa pamamodhi ekudzidzira emuchina akadzidziswa pamaseti akasiyana-siyana-kubva pakuita kwevashandisi uye kupa kuwanikwa kune data rekutengesa uye kufanotaura kwekuda-iyi puratifomu yakakwenenzvera zvine simba mhinduro dzekutsvaga, zvinyorwa zvemunhu, uye zviziviso zvenguva chaiyo. Kugona kwega kwega kwakagadzirirwa kubatanidza vashandisi nezvigadzirwa zvinoenderana nekukurumidza.  "Chinokosha chekubudirira kwayo kwaiva kutarisa kusingaregi pakuenzanisa uye kuendesa kukosha kwekutsvaga pamusoro pemaitiro azvino," Aarfi anogovera. Kuburikidza nekuenzanisa kwakanyatsonaka, mabhenji, uye vatyairi vanodzorwa, boka racho rakasimbisa kukwanisa kwepuratifomu kubatsira vatengi kuwana zvigadzirwa uye kutengeserana kwakakwana 25% nekukurumidza, ukuwo ichivandudza kugutsikana kwevatengi zvibodzwa YeAarfi, simba rekushandura repuratifomu haringori muhunyanzvi hwayo hweAI chete asiwo mukusangana kwayo uye nekubatanidzwa kwehurongwa husina musono, izvo zvakarerutsa kutorwa uye kuwedzera chibereko chesangano rese.  Team Alignment  Yakasungirirwa mumisimboti mitatu yakakosha, maitiro eAarfi ekutungamira zvikwata-zvinoshanda zvinogonesa kurongeka pakati pezvinangwa zvehunyanzvi uye zvinangwa zvebhizinesi. Chapakati pakuita kwake ndechekubatana kwekuona kwekuona, uko vanobatana kubva kuinjiniya, chigadzirwa, dhizaini, bhizinesi, uye zvikwata zvepamutemo pamwe chete zvinoumba yakajeka, yakabatana chiono chezvinozodiwa purojekiti. Iyi inosanganisirwa yekuona maitiro, Aarfi anotsanangura, "inokurudzira kunzwisisa kwakagovana uye kutenga-mukati mumabasa ese," kuve nechokwadi chekuti munhu wese anoenderana nezvinangwa uye nzira yekumberi.  Mutengi-centric maitiro akakoshawo, sezvo chirongwa chega chega chinobva pakadzika, data-inofambiswa nekunzwisisa kwezvinodiwa nemushandisi uye marwadzo. Sezvinotaurwa naAarfi, izwi-re-mutengi ruzivo rwakaunganidzwa kuburikidza nekubvunzurudza, analytics, uye ongororo inochengeta zvikwata zvakanangana nekuunza mhinduro dzechokwadi dzinopfuura zvinongoitika. Pamusoro pezvo, anosimbisa kudzokororwa, agile maitiro-kumhanyisa zviedzo, prototypes, uye vatyairi vendege kuti vasimbise mazano uye kubvumira kugadzirisa nekukurumidza kunobva pane chaiyo-yepasirese ruzivo. Iyi inochinjika asi yakatarisana nzira inofambisa hunyanzvi iyo isingaite chete zvibodzwa zvebhizinesi asiwo inopa kukosha kunobatika kune vatengi.  Kukwenenzvera Zvigadzirwa  Zano reAarfi rekunatsa nekugadzirisa zvigadzirwa zvakavakirwa mukuzvipira kwakasimba kune data-inotyairwa ruzivo uye agile maitiro. Kumatanho akaomarara senge purofiti manejimendi uye AI kusimudzira, anotanga nekusimudzira kunzwisisa kwakadzama kwezvinodiwa nevatengi. "Kushusha kwevatengi uku," Aarfi anotsanangura, "inovakwa kuburikidza nekuunganidzwa kwedata kwakadzama, kusanganisira kubvunzurudzwa kwezwi-remutengi, kuongororwa kwekushandiswa kwechigadzirwa, uye mafambiro eindasitiri." Iyi hunyanzvi hwevatengi hunopa hwaro hwesarudzo yechigadzirwa chega chega, kuve nechokwadi chekuenderana nezvido zvevashandisi chaizvo uye maitiro.  Kana njere idzi dzangogadzwa, Aarfi inoshandisa agile, iterative nzira yekukurumidza kuyedza uye kusimbisa mazano. Kumapurojekiti eAI, izvi zvinoreva kumhanyisa zviedzo zvakaverengerwa nevatyairi vendege kuti vaongorore zvine hungwaru mashandiro emodhi, kuyera kukosha kwaungaite, uye kugadzirisa zvigadziriso zvichibva pane zvakawanikwa-chaiyo-nyika. Mukuita purofiti manejimendi, agile sprint cycles inobvumira zvikwata zvake kumisikidza mapaipi edatha kutanga, kutora akakosha metrics semitengo, kudiwa, uye masaini ekushanda. Nekuenderera mberi kwekuvaka-chiyero-kudzidza loop munzvimbo, anove nechokwadi chekuti kufambira mberi kwehunyanzvi kwese kwakanyatso kusungirirwa kune zvinoyereka, sekukura kwemari, kuchengetedza mutengo, uye kugutsikana kwevatengi - kugadzira maitiro apo kukwidziridzwa kwechigadzirwa kunofambisa kukosha kwemushandisi uye bhizinesi. .  Ramangwana reAI muSaaS uye Beyond  Achinyatsotevera akati wandei ekushandura maitiro muAI uye muchina kudzidza, Aarfi anotenda kuti kufambira mberi uku kuchaumba ramangwana reSaaS, e-commerce, uye maindasitiri ekutengesa. Generative AI, inofambiswa nemhando dzemitauro mikuru seChatGPT uye Anthropic, ine vimbiso yakakosha. Sezvinofungwa neAarfi, "Idzi modhi dzinogona kutyaira vane hungwaru vanyori vabatsiri muSaaS," ichigonesa otomatiki chizvarwa chezvinyorwa zvezvinyorwa, zvigadziko zveruzivo, uye kunyange kodhi. Mu e-commerce, generative AI inogona kufambisa yakasarudzika, yekukurukurirana zviitiko zvekutenga uye kufambisa mabasa senge chizvarwa chetsananguro yechigadzirwa uye kugadzira asset kugadzirwa.  Imwe budiriro inovimbisa kufambira mberi kwemamodhi akawanda ekudzidza, ayo anogona kugadzirisa nekubatanidza ruzivo mumhando dzakasiyana dze data, kusanganisira zvinyorwa, mifananidzo, odhiyo, uye vhidhiyo. Aarfi inoona zvikumbiro zvakakura zveaya mamodheru, kubva pakutsvaga kwekuona uye kurudziro yezvipfeko mu-e-commerce kusvika kugadziriso yekufungidzira mumaketani ekupa, leveraging sensor, mufananidzo, uye telemetry data kutarisira uye kudzikisira nyaya dzekushanda. Nekukura kwekugona mumasisitimu anozvimiririra, Aarfi inotarisirawo mabhindauko ekugadzirisa zvinhu, senge marori anozvityaira, kutakura zvidhori, uye matura ekuchengetera magetsi. Aya tekinoroji anozvimiririra anogona kushandura manejimendi ekuchengetedza uye kunyange kufambisa mafambiro muSaaS nevabatsiri vesoftware. Achisimbisa kukosha kwekuedza zvine hungwaru uye nehutongi hweAI hune hungwaru, Aarfi anotenda kuti nzira yakadzikama ichave yakakosha pakushandisa matekinoroji aya nemazvo, kuve nechokwadi kuti vanounza mhando dzemabhizinesi matsva, kusimba kwekushanda, uye ruzivo rwakavandudzwa rwevatengi.  Basa raAarfi rine simba mumaindasitiri akaita se e-commerce, supply chain, kufamba, uye SaaS inosimbisa basa rake se tech innovator. Nekusimudzira AI uye kudzidza kwemuchina kuwedzera kushanda zvakanaka uye kukwidziridza zviitiko zvevatengi, Syed Aamir Aarfi akabatsira kuumbazve minda iyi. Achitarisa kumberi, ane chinangwa chekufambisa kufambira mberi nekupinda mumaitiro ari kusimukira senge generative AI uye multimodal kudzidza, kubatanidza tekinoroji yepamusoro nemaitiro akatarisana nevanhu. Mipiro yake yekufunga-mberi inopa muenzaniso kune maindasitiri anochinjika kune nekukurumidza-paced tekinoroji shanduko.

The is an opinion piece based on the author’s POV and does not necessarily reflect the views of HackerNoon.

This writer has a vested interest be it monetary, business, or otherwise, with 1 or more of the products or companies mentioned within.

Odhiyo iyi inogadzirwa mumutauro wekutanga wenyaya!

Tech Innovation uye Cross-Industry Impact: Syed Aamir Aarfi paAI/ML Kubatanidzwa

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