A cewar Rahoton Kasuwar Masana'antu AI da AI da aka fitar kwanan nan na 2021-2026, yawan amfani da AI a cikin Saitunan Masana'antu ya karu daga kashi 19 zuwa kashi 31 cikin ɗari cikin shekaru biyu kacal. Baya ga kashi 31 cikin ɗari na waɗanda suka amsa tambayoyin da suka yi cikakken ko kuma wani ɓangare na aikinsu, wasu kashi 39 cikin ɗari a halin yanzu suna gwaji ko gwada fasahar.
AI na fitowa a matsayin babbar fasaha ga masana'antun da kamfanonin makamashi a duk duniya, kuma binciken IoT ya yi hasashen cewa kasuwar mafita ta AI ta masana'antu za ta nuna ƙarfin ci gaban kowace shekara bayan annoba (CAGR) na 35% don isa dala biliyan 102.17 nan da 2026.
Zamanin dijital ya haifar da Intanet na Abubuwa. Ana iya ganin cewa fitowar fasahar kere-kere ta hanzarta saurin ci gaban Intanet na Abubuwa.
Bari mu dubi wasu daga cikin abubuwan da ke haifar da karuwar fasahar kere-kere ta masana'antu (AI) da fasahar kere-kere ta AIoT.
Ma'ana ta 1: Ƙarin kayan aikin software don AIoT na masana'antu
A shekarar 2019, lokacin da nazarin Iot ya fara rufe AI na masana'antu, akwai ƙarancin samfuran software na AI da aka keɓe daga masu siyar da fasahar aiki (OT). Tun daga lokacin, masu siyar da OT da yawa sun shiga kasuwar AI ta hanyar haɓakawa da samar da mafita na software na AI a cikin nau'in dandamali na AI don bene na masana'anta.
A cewar bayanai, kusan masu sayar da software 400 ne ke bayar da manhajar AIoT. Adadin masu sayar da software da suka shiga kasuwar AI ta masana'antu ya karu sosai a cikin shekaru biyu da suka gabata. A lokacin binciken, IoT Analytics ta gano masu samar da fasahar AI 634 ga masana'antun/kwastomomin masana'antu. Daga cikin waɗannan kamfanoni, 389 (61.4%) suna bayar da manhajar AI.
Sabuwar manhajar AI ta mayar da hankali kan muhallin masana'antu. Bayan Uptake, Braincube, ko C3 AI, yawan masu samar da fasahar aiki (OT) suna bayar da dandamalin software na AI na musamman. Misalan sun haɗa da tsarin nazarin masana'antu na Genix da AI na ABB, tsarin FactoryTalk na Automation na Rockwell Automation, tsarin ba da shawara kan masana'antu na Schneider Electric, da kuma kwanan nan, wasu ƙarin abubuwa. Wasu daga cikin waɗannan dandamali suna mai da hankali kan nau'ikan amfani iri-iri. Misali, tsarin Genix na ABB yana ba da ci gaba na nazari, gami da aikace-aikace da ayyuka da aka riga aka gina don gudanar da aikin aiki, amincin kadarori, dorewa da ingancin sarkar samar da kayayyaki.
Manyan kamfanoni suna sanya kayan aikin software na AI a kan dandamali.
Samuwar kayan aikin software na AI kuma yana faruwa ne ta hanyar sabbin kayan aikin software na musamman waɗanda AWS, manyan kamfanoni kamar Microsoft da Google suka ƙirƙira. Misali, a watan Disamba na 2020, AWS ta fitar da Amazon SageMaker JumpStart, wani fasali na Amazon SageMaker wanda ke samar da saitin mafita da aka riga aka gina kuma aka keɓance don mafi yawan lokuta na amfani da masana'antu, kamar PdM, hangen nesa na kwamfuta, da tuƙi mai sarrafa kansa, Deploy tare da dannawa kaɗan.
Magani na musamman na software na amfani da takamaiman yanayi suna haɓaka haɓaka amfani.
Tsarin software na musamman ga amfani, kamar waɗanda aka mayar da hankali kan kula da hasashen yanayi, yana ƙara zama ruwan dare. IoT Analytics ya lura cewa adadin masu samar da mafita na software na sarrafa bayanai na samfura (PdM) wanda ke amfani da AI ya karu zuwa 73 a farkon 2021 saboda ƙaruwar nau'ikan hanyoyin bayanai da amfani da samfuran kafin horo, da kuma amfani da fasahar haɓaka bayanai sosai.
Ma'ana ta 2: Ana sauƙaƙa ci gaba da kula da hanyoyin magance matsalolin AI
Koyon injina ta atomatik (AutoML) yana zama samfurin da aka saba amfani da shi.
Saboda sarkakiyar ayyukan da ke da alaƙa da koyon injina (ML), saurin haɓakar aikace-aikacen koyon injina ya haifar da buƙatar hanyoyin koyon injina waɗanda ba a shirya su ba waɗanda za a iya amfani da su ba tare da ƙwarewa ba. Fannin bincike da aka samu, wanda ke ci gaba da sarrafa kansa don koyon injina, ana kiransa AutoML. Kamfanoni iri-iri suna amfani da wannan fasaha a matsayin wani ɓangare na tayin AI don taimaka wa abokan ciniki su haɓaka samfuran ML da aiwatar da shari'o'in amfani da masana'antu cikin sauri. A watan Nuwamba 2020, misali, SKF ta sanar da wani samfurin da ke tushen automL wanda ya haɗa bayanan sarrafa injina tare da bayanan girgiza da zafin jiki don rage farashi da kuma ba da damar sabbin samfuran kasuwanci ga abokan ciniki.
Ayyukan koyon injina (ML Ops) suna sauƙaƙa gudanar da samfura da kulawa.
Sabuwar hanyar da ake bi wajen gudanar da ayyukan koyon injina ita ce ta sauƙaƙa wa tsarin AI a cikin muhallin masana'antu. Aikin tsarin AI yawanci yana raguwa a kan lokaci domin abubuwa da dama suna shafar sa (misali, canje-canje a rarraba bayanai da ƙa'idodin inganci). Sakamakon haka, kula da samfura da ayyukan koyon injina sun zama dole don biyan buƙatun inganci na muhallin masana'antu (misali, samfuran da ke aiki ƙasa da kashi 99% na iya kasa gano halayen da ke barazana ga lafiyar ma'aikata).
A cikin 'yan shekarun nan, kamfanoni da yawa na farko sun shiga cikin sararin ML Ops, ciki har da DataRobot, Grid.AI, Pinecone/Zilliz, Seldon, da Weights & Biases. Kamfanonin da aka kafa sun ƙara ayyukan koyon injina a cikin kayan aikinsu na AI, ciki har da Microsoft, wanda ya gabatar da gano bayanai a cikin Azure ML Studio. Wannan sabon fasalin yana bawa masu amfani damar gano canje-canje a cikin rarraba bayanan shigarwa waɗanda ke lalata aikin samfuri.
Dalili na 3: Fasahar wucin gadi da aka yi amfani da ita ga aikace-aikacen da ake da su da kuma yanayin amfani
Masu samar da software na gargajiya suna ƙara ƙarfin AI.
Baya ga manyan kayan aikin software na AI na kwance kamar MS Azure ML, AWS SageMaker, da Google Cloud Vertex AI, shirye-shiryen software na gargajiya kamar Computerized Maintenance Management Systems (CAMMS), Manufacturing execution systems (MES) ko enterprise resource planning (ERP) yanzu ana iya inganta su sosai ta hanyar saka damar AI. Misali, mai samar da ERP Software Epicor yana ƙara damar AI ga samfuran da yake da su ta hanyar Epicor Virtual Assistant (EVA). Ana amfani da wakilan EVA masu hankali don sarrafa ayyukan ERP ta atomatik, kamar sake tsara ayyukan masana'antu ko yin tambayoyi masu sauƙi (misali, samun cikakkun bayanai game da farashin samfura ko adadin sassan da ake da su).
Ana inganta yanayin amfani da masana'antu ta hanyar amfani da AIoT.
Ana ƙara yawan amfani da masana'antu ta hanyar ƙara ƙarfin AI ga kayayyakin more rayuwa na kayan aiki/software da ake da su. Misali mai kyau shine hangen nesa na na'ura a aikace-aikacen sarrafa inganci. Tsarin hangen nesa na na'ura na gargajiya yana sarrafa hotuna ta hanyar kwamfutoci masu haɗawa ko na musamman waɗanda aka sanye su da software na musamman waɗanda ke kimanta sigogi da iyakokin da aka ƙayyade (misali, babban bambanci) don tantance ko abubuwa suna nuna lahani. A lokuta da yawa (misali, kayan lantarki masu siffofi daban-daban na wayoyi), adadin tabbataccen ƙarya yana da yawa sosai.
Duk da haka, ana farfaɗo da waɗannan tsarin ta hanyar amfani da basirar wucin gadi. Misali, kamfanin samar da injina na hangen nesa na masana'antu Cognex ya fitar da wani sabon kayan aikin zurfafa karatu (Vision Pro Deep Learning 2.0) a watan Yulin 2021. Sabbin kayan aikin sun haɗu da tsarin hangen nesa na gargajiya, wanda ke ba wa masu amfani damar haɗa zurfafa ilmantarwa tare da kayan aikin hangen nesa na gargajiya a cikin aikace-aikacen iri ɗaya don biyan buƙatun yanayin likita da na lantarki waɗanda ke buƙatar daidaitaccen auna karce, gurɓatawa da sauran lahani.
Ma'ana ta 4: Ana inganta kayan aikin AIoT na masana'antu
Kwamfutocin AI suna inganta cikin sauri.
Kwamfutocin AI na kayan aiki da aka haɗa suna girma cikin sauri, tare da zaɓuɓɓuka iri-iri don tallafawa haɓakawa da tura samfuran AI. Misalai sun haɗa da sabbin na'urorin sarrafa zane-zane na NVIDIA (GPus), A30 da A10, waɗanda aka gabatar a watan Maris na 2021 kuma sun dace da shari'o'in amfani da AI kamar tsarin shawarwari da tsarin hangen nesa na kwamfuta. Wani misali kuma shine Na'urorin Sarrafa Tensors na ƙarni na huɗu na Google (TPus), waɗanda ke da ƙarfi a cikin da'irori masu haɗaka na musamman (ASics) waɗanda zasu iya cimma har sau 1,000 mafi inganci da sauri a cikin haɓaka samfuri da tura takamaiman ayyukan AI (misali, gano abu, rarraba hoto, da ma'aunin shawarwari). Amfani da kayan aikin AI na musamman yana rage lokacin lissafin samfuri daga kwanaki zuwa mintuna, kuma ya tabbatar da cewa yana canza wasa a lokuta da yawa.
Kayan aikin AI masu ƙarfi suna samuwa nan take ta hanyar samfurin biyan kuɗi-da-amfani.
Kamfanonin Superscale suna ci gaba da haɓaka sabar su don samar da albarkatun kwamfuta a cikin gajimare don masu amfani su iya aiwatar da aikace-aikacen AI na masana'antu. Misali, a watan Nuwamba 2021, AWS ta sanar da fitar da sabbin misalan GPU ɗinta, Amazon EC2 G5, wanda NVIDIA A10G Tensor Core GPU ke amfani da shi, don aikace-aikacen ML iri-iri, gami da injunan hangen nesa na kwamfuta da shawarwarin. Misali, mai samar da tsarin gano abubuwa Nanotronics yana amfani da misalan Amazon EC2 na mafita ta sarrafa inganci ta AI don hanzarta ƙoƙarin sarrafawa da cimma daidaiton ƙimar gano abubuwa a cikin ƙera ƙananan chips da nanotubes.
Kammalawa da Hasashe
AI yana fitowa daga masana'antar, kuma zai kasance a ko'ina a cikin sabbin aikace-aikace, kamar PdM mai tushen AI, da kuma haɓakawa ga software da shari'o'in amfani da ake da su. Manyan kamfanoni suna ƙaddamar da shari'o'in amfani da AI da yawa kuma suna ba da rahoton nasara, kuma yawancin ayyuka suna da babban riba akan saka hannun jari. Gabaɗaya, haɓakar girgije, dandamalin iot da kwakwalwan AI masu ƙarfi suna ba da dandamali ga sabon ƙarni na software da ingantawa.
Lokacin Saƙo: Janairu-12-2022