Sezvo AI yavepo kwemakore anopfuura gumi, vamwe vanofungidzira kuti ikozvino yawana huwandu hwakakomba. Mazhinji emabhizinesi akafambisira mberi zvishuvo zvavo zveAI kupfuura kuyedza uye humbowo hwezvikamu zvepfungwa.
Huwandu hwemari nenguva inodiwa kuita chero kuedza kweAI kuve chokwadi kwave kuramba kuchiwedzera, kunyangwe AI ichiri kutorwa sendima yakasarudzika uye kuyedza kwakaoma kwetekinoroji.
Mune mamwe mamiriro ezvinhu, mutengo wakakosha uye chinodiwa chehunyanzvi hunyanzvi chinotadzisa masangano kutsvaga nzira dzekushandisa chakagadzirwa njere.
Hapana kodhi muchina kudzidza uye AI mhinduro, zvisinei, haisati yakanganisa indasitiri. Kuti masangano awane purofiti zvizere kubva kuAI, hunyanzvi hwekunyora makodhi hahuchadiwi.
Nekuda kwekusiya kuvakwa kweAI software kubva kutanga, hapana kodhi AI yakanyanya kudzikisa mari.
Muchikamu chino, tichatarisa zvakadzama kune-no-code artificial intelligence, mabhenefiti ayo, zvinokanganisa, runyoro rwepamusoro no-code AI software, nezvimwe zvakawanda.
Chii chinonzi No-code Artificial Intelligence?
No-Code, muchimiro chayo chakareruka, inoreva muunganidzwa wetekinoroji inogonesa vanhuwo zvavo kugadzira maapplication, otomatiki maitiro, uye maneja data pasina kuve neruzivo rwekutanga chirongwa.
Plug-and-play, yakatwasuka, anobatsira ekuvaka zvidhinha-iyo Lego yemakambani software-ndiyo inonzi no-code. No-code mapuratifomu ari kuwedzera kushandiswa mumabhizinesi, uye maitiro aya haasi kuenda.
Ose maviri No-code AI neNo-code maturusi ane simba anogonesa vashandisi vebhizinesi kugadzira maapplication kana mamodheru muchidimbu chenguva uye mari yemaitiro echinyakare ekusimudzira.
Kwete-code AI saka iri pano kuti iite democratize AI kune avo vasina ruzivo rwehunyanzvi. No-code AI inotarisira kubvisa chero zvipingamupinyi zvingangove kune vashandisi vebhizinesi kuita uye kushandisa AI munzvimbo dzavanoita.
The chakagadzirwa Intelligence landscape inosanganisira kwete-code AI, iyo yaiita sekudzikisa chipingamupinyi chekushandisa AI mumamiriro mazhinji ekutengeserana.
Kana tichitaura nezve-no-code AI, tinoreva kudhonza-uye-kudonha, mushandisi-ane hushamwari kwete-code yekuvandudza chikuva.
Nekushandiswa kwepuratifomu yakadai, vasiri mainjiniya vanogona kukurumidza kurongedza uye kuongorora data, uye kugadzira chaiwo ekufanotaura modhi munhau yemaminetsi kana maawa, senge. vanoongorora bhizinesi, vanyori vepasi, mamaneja ezvigadzirwa, kana maneja enjodzi.
Data masayendisiti inogona kushanda pamapurojekiti akaomarara nekuda kweML neAI, nepo mabasa echinyakare achigona otomatiki.
Zvakanakira zveNo-Code Artificial Intelligence
- Shandisa inofambiswa nedata: Nhasi, mabhizinesi mazhinji anoisa pamberi AI. Iyo indasitiri yakaona kukwira kwekuda kwehunyanzvi hweAI mumakore maviri apfuura. Kunyanya kana iwe uri kuyedza nekufambiswa nedata, kuvaka timu yesainzi data inotora nguva uye inodhura. Pasina data sainzi vashandi, kuve data-inotyairwa kunogoneka neasina-kodhi AI mapuratifomu uye matekinoroji.
- Kushandiswa: Vashandisi vari munyika yemubatanidzwa vanogona kugadzira mhinduro dzeAI nekukurumidza uye zvinokwanisika nekuda kwekudhonza-uye-kudonhedza plug-uye-kutamba. Iyi puratifomu inowanzo kuve yakapusa uye yekuzvishandira nekuti musika waunonangwa une vashandisi vebhizinesi vasina ruzivo rwehunyanzvi.
- Kumhanya: Pano, kuyedza uye kudzokorora kwakakosha. Kukurumidza kusimudzira modhi uye kuyedzwa kwakajairwa neNo-code AI matekinoroji. Izvi zvinoita kuti zvikwanise kuvaka mamodheru nekukurumidza uye kupa zvakawanikwa kune vanobata bhizinesi kakawanda kuti vabvumirwe kana kutsigira zvakakosha bhizinesi sarudzo.
- Scalability: Iyo No-code AI chikuva chinosanganisira kutsigira zvivakwa uye zviyero kumusoro kana kudzika otomatiki zvichienderana nebasa rekugadzira uye kuendesa modhi.
- Kuwanika: No-code AI mapuratifomu anoderedza kutorwa kweAI mumabhizinesi madiki uye epakati nekuda kwekudyara kwavo kwakadzikama kwekutanga, flat kudzidza curve, uye kushomeka kwehunyanzvi gap chipingamupinyi. Uyezve, No-code AI inoita kuti vashandisi vebhizinesi vaedze neAI uye nekukurumidza kuona kubatsira kwayo.
Zvakaipa zveNo-Code Artificial Intelligence
- Chengetedzo: Mamwe mapuratifomu anogona kutadza kuvaka mapuroteni ekuwana, izvo zvinogona kuve zvine chekuita nemafemu anotungamira kuchengetedza. Kuti unzwisise zvizere kuti uye kupi data rako richagadziriswa, ipfungwa yakanaka kuverenga mazwi nemamiriro.
- Kubvunzana kana kudzidziswa kunodiwa: Injiniya yeML, nyanzvi yezvishandiso zvevanhu, uye mudzidzi wekushambadzira vese vanofanirwa kunge vachikwanisa kushandisa yakaderera-code/no-code mapuratifomu mudzidziso, asi izvi handizvo nguva dzose. Nekuti AI chikuva chekupedzisira-mushandisi atove ML mainjiniya, chasara chechikwata chinoda kudzidziswa kwakanyanya uye nekuraira kuti vazive nzira dzeAI.
- Kushaikwa kwekutenda: Kusvika pari zvino, taona kukwira kwemukurumbira wepasi-code/no-code AI mapuratifomu, asi iwo anoshanda seyakajairwa ML nzira? Maererano neGoogle Trends, kufarira mu-no-code ML kuri kukura, kunyange zvazvo vanofarira ML vanoramba vari mberi. Nokuti muchina kudzidza uye computer vision vanga varipo kwechinguva, zviwanikwa izvi uye maraibhurari akawanda kupfuura yakaderera-code/no-code AI mapuratifomu.
- Kushaikwa kwemunhu: Yakaderera-kodhi / kwete-kodhi mapuratifomu, nepo ari nyore uye achikurumidza, anowanzo kuganhurirwa mukushanda sezvo iwo akavakwa kubata rimwe dambudziko uye zvakaoma kuunza kunze-kwe-bhokisi, zvakanyanya kuomarara. mhinduro. Chii chaunofanira kuita kana iwe ukakurira imwe mhinduro kana chimiro, sezvo zvinodiwa zvebhizinesi zviri mvura uye shanduko nemhepo?
Best No Code Artificial Intelligence Software
1. BitSkout
A software platform inonzi Bitskout inoita kuti iwe uvake yako wega mafambiro ebasa uchishandisa ma-no-code artificial intelligence modhi kuti ukwidziridze goho rebasa rako.
Nekubatanidza no-code AI nechirongwa chako chekutonga purojekiti, unogona kuderedza kudzokorora mabasa, kugadzira akangwara basa nzira, kana kutanga kuunganidza data kubva kumunda kuti ugadzire yako yekutanga algorithms.
Iyo yekukweva-uye-kudonha interface inoshandiswa kugadzira maitiro paBitskout SaaS papuratifomu, kuti iite nyore. Ruzivo kubva kunotangazve inogona kutorwa uchishandisa Bitskout AI uye yakawedzerwa kune yako mapurojekiti maturusi kuitira kuti zvese zvive munzvimbo imwechete.
Rongedza otomatiki munyoreri zvinoenderana nemayero awakasarudza, uye iwe uchawana mukana wekutsvaga sarudzo kune ese maCV. Workflows ine zvikamu zvinopedzwa pane yakabatana purojekiti.
AI modhi yezvinyorwa, mifananidzo, mavhidhiyo, uye mamwe marudzi ekuongorora data anogona zvakare kuverengerwa mukufambiswa kwebasa. AI modhi inogona zvakare kugadzirwa kuburikidza mushandisi nzvimbo pasina kunyora chero kodhi.
Shandisa Bitskout AI kutora ruzivo kubva kumakadhi ebhizinesi kuitira kuti timu yese ione iyo yepurojekiti yako uye CRM apps. Rongedza zvinotungamira zvichibva pakambani kana zita rebasa.
Pricing
Unogona kuyedza chikuva nemazuva gumi nemana kuyedzwa kwemahara uye mutengo weprimiyamu unotanga kubva ku14 € / mwedzi.
2. Akkio
Akkio ipuratifomu inosanganisirwa yese isina-kodhi AI. Izvi zvinoratidza kuti iwe unogona kugadzira, kushandisa, uye kubatanidza AI modhi dzese munzvimbo imwechete kunyangwe iwe usingakwanise.
Kazhinji, mainjiniya esoftware uye dzimwe nyanzvi dzehunyanzvi dzinodiwa kubatanidza iwo mamodheru anovakwa neAutoML tekinoroji uye kunyangwe isina-kodhi AI mhinduro.
Kuvaka "AI inoyerera" uchishandisa Akkio, iyo inofambiswa neyakajeka yekuona interface, inoita kuti zvive nyore kubatanidza AI mune chero maitiro.
Sekupedzisira-kusvika-kumagumo, kwete-code AI chikuva, inomira pakati pemapuratifomu epamusoro mundima iyi. Inonyanya kugadzirirwa kubatsira nzvimbo dzakasiyana-siyana, kusanganisira mashandiro, kushambadzira, kutengesa, uye mari, mukuita sarudzo dzinofambiswa nedata.
Inoti "inofamba kubva kudata kuenda kuAI mumaminetsi gumi - hapana chirongwa kana data sainzi hunyanzvi hunodiwa" uye ikozvino yave pachinzvimbo chepamusoro chigadzirwa chezuva paChigadzirwa Hunt.
Kureruka kwe-no-code deployments ndiyo yavo yakanakisa mhando. Iwe unogona kupa timu yako ruzivo runobatsira uye mhinduro chero bedzi iwe uine kunzwisisa kwakasimba kwedata.
Pamusoro pezvo, ine akati wandei ekubatanidza uye yakagadzirwa kuti ibatanidzwe kune yako data kuitira kuti fungidziro inogona kufambiswa chero kupi.
Pricing
Unogona kuyedza chikuva mahara uye mitengo inotanga kubva kumadhora makumi matanhatu / mwedzi.
3. Super Annotate
Gadzira SuperData yeAI yako neSuperAnnotate. Iyo yakazara sisitimu yekutonga, kuzivisa, uye shanduro yepasi chokwadi data iripo kune yako yekugadzira njere yekushandisa.
Uchishandisa yakasimba turusi, inotungamira pamusika masevhisi, uye ine simba data management system, inoita kuti iwe uwedzere uye uite otomatiki yako AI pombi 3x-5x nekukurumidza.
Vaka emhando yepamusoro dhatabheti ane akanakisa-mu-kirasi masevhisi uye turusi uchitsanangura vhidhiyo, zvinyorwa, uye mifananidzo ine data throughput. Robust purojekiti manejimendi maturusi uye kushandira pamwe kunobatsira yako modhi kubudirira munyika chaiyo.
NeSuperAnnotate, unogona kuronga kufambiswa kwakanaka kwetsanangudzo, ramba uine ziso pamhando yeprojekiti, shanda pamwe nechikwata, uye nezvimwe zvakawanda munzvimbo imwechete.
Iine zvinhu zvekudzidzira kushanda uye otomatiki izvo zvinogona kukubatsira kuti upedze maitiro ako ezvinyorwa nekukurumidza.
Kuti uvandudze mashandiro emodhi, tungamira mapurojekiti akabudirira, uye woona mutsauko ipapo ipapo, iwe unogashira yakakwana yakawanda-nhanho inoshanda yekubatana uye yemhando yekutarisira maturusi.
Pamusoro pezvo, SuperAnnotate inopa puratifomu ine tarisiro pane chengetedzo inogona kushandiswa kudzikamisa mapaipi echero kuoma kana chiyero.
Iwe unogona kuita zvisungo zvakakura kuti uwane zvidzoreso zvakawanda uye kudzikisa mutengo wemapombi eAI sezvo vachigona kuwedzera mapurojekiti ako chero pasirese.
Pricing
Ndapota taura nevashandi vekutengesa kuti ubvunze pamusoro pemutengo, sezvo usina kuratidzwa panzvimbo.
4. Zviri pachena AI
Nepachena AI chikuva, unogona kufanotaura data pasina kunyora mutsara mumwe wekodhi mumaminetsi mashoma.
Izvi zvinovhara iyo yakazara dhizaini maitiro emuchina kudzidza algorithms, pamwe nekudzvanya-kamwe kufanotaura kwemhedzisiro yavo.
Tora iyo dialog yedata kuti igadzirise dhatabheti yako pasina kushandisa chero kodhi, wobva wagovera mamodeli ako eML neboka kana kuita kuti avhure veruzhinji.
Wese munhu anogona zvino kutanga kugadzira fungidziro vachishandisa algorithms, uye iwe unogona kusanganisira ine simba Machine Learning fungidziro mukushandisa kwako uchishandisa yakaderera-code API.
Pasina kupokana, AI yakavakirwa kupa munhu wese mhinduro iri nyore. Iyo CSV faira inogona kuverengerwa kana kusanganiswa neyako data masosi.
Ziva machinjiro anokanganisa fungidziro uye mhedzisiro uchishandisa mamiriro ekufungidzira senge "chii-kana." enda zvakadzika mukati meiyo algorithm yakatarwa, tsvaga mhando dzeanokwikwidza, uye unzwisise mashandiro emamodheru.
Sevha nguva uchigadzira emhando yepamusoro uye yakaomesesa AI modhi nekusarudza huwandu hwemitsara nemakoramu (kubva pa1000 kusvika 500 miriyoni) uye kudzidza kuti zvichatora nguva yakareba sei kugadzira algorithm uchishandisa AI.
Pricing
Chikuva chakasununguka kushandisa paunotanga kusaina. Zvisinei, hairatidzi mitengo. Kuti udzidze zvakawanda nezvemitengo, ndapota taura nedhipatimendi rekutengesa.
5. PyCaret
Wako muchina wekudzidza workflows unogona otomatiki nePython uchishandisa yakavhurika-sosi, yakaderera-code muchina wekudzidza chikuva PyCaret.
Iwe unogona kutarisa zvakanyanya pakuongorora, senge data pretreatment, modhi kudzidziswa, modhi kutsanangurika, MLOps, uye yekuongorora data kuongororwa, nekushandisa shoma nguva yekukodha uye yakawanda nguva uchishandisa iyi yakakosha, iri nyore kushandisa muchina raibhurari.
Imwe neimwe modhi inogona kuita mamwe mabasa ekudzidza muchina sezvo PyCaret ichiitirwa kuve modular. Mabasa mune ino mamiriro mapoka mapoka emabasa anoita mabasa maererano nekufanotemerwa mafambiro ebasa.
Anenge chero munhu anogona kugadzira akavimbika, ekupedzisira-kumagumo ekudzidza emuchina achishandisa PyCaret's low-code platform.
Yekukurumidza kutanga demo, blog, mavhidhiyo, uye nhaurirano zvese zvinopa mikana yekudzidza.
Gadzira yekutanga muchina kudzidza application, dzidzisa modhi yako nekukurumidza, uye isunungure seREST API ipapo kuti uongorore uye udzokorore.
Unogona kuwana rutsigiro rweGPU, gadzira mufananidzo wedocker, gadzira ML app, gadzira REST API, uye tarisa zviedzo. Zvese zviri zviviri pros uye amateur data masayendisiti anofanira kushandisa PyCaret.
Pricing
Chikuva chakasununguka kushandisa kune wese munhu.
6. Michina Inodzidziswa
Muchina Unodzidziswa unogona kukutendera kuti udzidzise komputa yako kuziva ruzha rwako, majeti, uye zvinoonekwa.
Pasina chero ruzivo rwekodha, inokupa iwe inokurumidza uye yakapusa nzira yekuvaka yakavimbika ML modhi yezvishandiso zvako, mawebhusaiti, nezvimwe.
Gadzira muchina kudzidza models ari nyore kushandisa uye kuwanikwa kune wese munhu ane Inodzidzisa Machine, yewebhu-yakavakirwa yakaderera-code muchina kudzidza chikuva.
Zviri nyore kushandisa: Kudzidzisa komputa yako, kuunganidza uye kuronga masampuli ako mumakirasi akawanda kana mapoka aunoda kuti anzwisise, wobva waedza modhi yacho ipapo kuti utarise kuti yanzwisisa here zvawakadzidzisa.
Tumira kunze iyo modhi yemawebhusaiti ako, zvirongwa, uye mamwe mapurojekiti. Kunyangwe zvirinani, iwe unogona kugamuchira iyo modhi pamhepo kana kuidhawunirodha.
Pricing
Chikuva chakasununguka kushandisa kune wese munhu.
7. Lobe AI
Shandisa Lobe kudzidzisa maapplication ako kuziva zvidyarwa, kuona majeti, kuverenga kudzokorora, kuona manzwiro, kuona mavara, kuongorora kuchengeteka, nezvimwe.
Inopa zvese zvaunoda kune yako ML modhi uye zvinobatsira mukudzidziswa kwemhando dzakadai. Inopawo zvemahara, zviri nyore-kushandisa-maturusi.
Ingopa masampuli ezvaunoda kuti application yako inzwisise, uye otomatiki muchina wekudzidza modhi inodzidziswa.
Iyi modhi inogona ipapo kuverengerwa nekukurumidza mukushandisa kwako. Pasina ruzivo rwekutanga kodhi, chero munhu anogona kushandisa puratifomu yedu zviri nyore.
Dzidzira zvakananga pakombuta yako pasina kuendesa data rako kune gore. Vese vashandisi veWindows neMac vanogona kushandisa Lobe.
Pamusoro pezvo, iwe unogona kutumira kana kutumira modhi yako kune chero chikuva. Iyo yakanakira muchina yekudzidza yekuvaka yepurojekiti yako ichasarudzwa otomatiki.
Iwo mafoto ari mumafaira ako anogona kuverengerwa ipapo neLobe, kana unogona kuaunganidza nekamera kuvaka ML dataset.
Shandisa zvinoonekwa zvibodzwa kuti uwane kusimba uye kusasimba kwemamodhi ako ese pane kuita chero zvigadziriso kana kuseta maitiro.
Pricing
Chikuva chakasununguka kushandisa kune wese munhu.
mhedziso
Mukuenzanisa neyakajairwa AI maitiro, iyo isina-code AI nzira yakatwasuka, inokurumidza, inokwanisika, uye inochengetedza yakakura nguva.
Pasina kudiwa kwezvikwata zvinodhura zvesainzi yedata uye zvivakwa zvakakura, hapana-kodhi AI inokurudzira hunyanzvi, pfungwa inotungamirwa nedata, uye nekukurumidza kuita sarudzo mumabhizinesi.
No-code AI iri kuwedzera uye ine mukana wekuchinja zvachose chero indasitiri.
Paunenge uchigadzira AI kubva pakutanga, hapana zvirambidzo; wakasununguka kusarudza dhizaini, mashandiro, kana pombi inoshanda zvakanyanya kupurojekiti yako. Kune rimwe divi, kugadzira modhi yebespoke kunogona kudhura uye kutora nguva.
Naizvozvo, bheji yedu yakanakisa ndeyekusimudzira yakaderera-kodhi/kwete-kodhi mapuratifomu kubata akatetepa kwazvo pombi mabasa ekufambisira uye nekumhanyisa maitiro.
Deep Das
Hapana kodhi inguva yemberi. Thanks nekunyora epamusoro hapana-code maturusi anowanikwa mumusika.