Chitsogozo cha Synthetic Data Generation: Tanthauzo, Mitundu, & Ntchito
Si chinsinsi kuti mabizinesi amakumana ndi zovuta kupeza ndi kugawana deta yapamwamba kwambiri. Kupanga deta ya Synthetic ndi yankho lothandiza lomwe limathandiza kupanga ma dataset akulu akulu ndi mayeso apamwamba kwambiri popanda zoopsa zachinsinsi kapena matepi ofiyira.
Ma dataset a synthetic amatha kupangidwa pogwiritsa ntchito njira zosiyanasiyana, popereka ntchito zosiyanasiyana. Akawunikiridwa bwino, zosungidwa zopangidwa pogwiritsa ntchito njira zapamwamba zimathandiza mabungwe kufulumira kusanthula, kufufuza, ndi kuyesa. Choncho tiyeni tione bwinobwino.
Nkhaniyi ikukudziwitsani za data yopangidwa, kuphatikiza mitundu ikuluikulu, kusiyana kwa ma dataset osadziwika, ndi zowongolera. Muphunzira momwe deta yopangidwira imathetsera zovuta za data ndikuchepetsa zoopsa zina. Tidzakambirananso ntchito zake m'mafakitale onse, limodzi ndi zitsanzo zochokera m'nkhani zathu.
M'ndandanda wazopezekamo
Dongosolo la Synthetic: tanthauzo ndi ziwerengero zamsika
Zambiri zopanga ndizopangidwa mongopeka zomwe zilibe zinsinsi, ndipo zimagwira ntchito ngati m'malo mwazosunga zenizeni zenizeni. Asayansi a data nthawi zambiri amayimba Zambiri zopangidwa ndi AI mapasa a data opangidwa chifukwa cha kulondola kwake kwakukulu pakutsanzira deta yeniyeni.
Ma data opangira ma data amapangidwa pogwiritsa ntchito ma algorithms a intelligence (AI) ndi zoyerekeza zomwe zimasunga mapatani ndi kulumikizana kwa data yoyambirira. Izi zitha kuphatikiza zolemba, matebulo, ndi zithunzi. Ma algorithms m'malo mwa chidziwitso chodziwika bwino (PII) ndi data moseketsa.
Zolosera za Grand View Research kuti msika kupanga deta yopanga ndi Generative AI idzakula kuchoka pa $1.63 biliyoni mu 2022 kufika pafupifupi $13.5 biliyoni pofika 2030 pa CAGR ya 35%. Malinga ndi Gartner, 60% ya data yomwe imagwiritsidwa ntchito pa AI mu 2024 ikhala yopangidwa - ndizoposa 60 kuposa mu 2021.
Mapulatifomu a data a Synthetic akukwera, nawonso. Market Statesville ikuyembekeza Padziko lonse lapansi msika wapadziko lonse lapansi wa data wopangira ukukula kuchoka pa $218 miliyoni mu 2022 kufika $3.7 biliyoni pofika 2033.
Chifukwa chiyani deta yochita kupanga ikuwonjezeka? Chimodzi mwazinthu zoyendetsera ndi kumasuka ku kuyang'anira malamulo.
Kodi malamulo achinsinsi amawongolera deta yopangidwa ndi AI?
Ambiri a US ndi EU chitetezo cha data ndi zinsinsi malamulo amagwira ntchito pazidziwitso zamunthu.
Koma malamulowo sagwira ntchito zopangapanga - zopangira deta amachitidwa mofanana ndi deta yosadziwika. Amapanga zomwe zimatchedwa "pachimake" cha malamulo ena azamalamulo.
Mwachitsanzo, 26 ya GDPR akuti malamulo oteteza zinsinsi amangogwira pa data yomwe imagwirizana ndi munthu wodziwika. Ngati deta yanu yopangidwa yapangidwa kotero kuti siyingabwerenso kwa anthu omwe akuwazindikirika, ilibe kuyang'anira. Kuyang'anira koyang'anira pambali, pali zopinga zina zogwiritsa ntchito deta yeniyeni yomwe imayendetsa mabizinesi kuti apange deta yopangira.
Zovuta zazikulu zogwiritsira ntchito deta yeniyeni
Makampani ambiri amavutika kupeza ndikugwiritsa ntchito deta yoyenera, yapamwamba kwambiri, makamaka pamlingo wokwanira pamaphunziro a AI algorithm. Ngakhale atazipeza, kugawana kapena kugwiritsa ntchito nkhokwe kumatha kukhala kovuta chifukwa cha ziwopsezo zachinsinsi komanso zovuta zomwe zimagwirizana. Gawoli likufotokoza mfungulo imatsutsa deta yopangira akhoza kuthetsa.
Zowopsa zachinsinsi zimalepheretsa kugwiritsa ntchito deta komanso kugawana
Chitetezo cha data ndi malamulo achinsinsi, monga GDPR ndi HIPAA, amayambitsa zolepheretsa kugawana ndi kugwiritsa ntchito deta. M'mafakitale monga chisamaliro chaumoyo, ngakhale kugawana PII pakati pa madipatimenti omwe ali m'bungwe lomwelo kumatha kutenga nthawi chifukwa choyang'anira maulamuliro. Kugawana deta ndi mabungwe akunja ndikovuta kwambiri ndipo kumakhala ndi ziwopsezo zachitetezo.
Kafukufuku wochokera Kuzindikira Zamalonda Amalonda imazindikiritsa ziwopsezo zachinsinsi zomwe zikuchulukirachulukira monga chothandizira kutengera njira zopangira data. Mukamasunga zambiri, mumayika pachiwopsezo chosokoneza zachinsinsi. Malinga ndi Mtengo wa Chitetezo cha 2023 wa IBM Report of Data Breach Report, avereji yowononga deta ku US inali $9.48 miliyoni. Padziko lonse, avereji ya ndalamazo inali $4.45 miliyoni; makampani omwe ali ndi antchito osakwana 500 amataya $ 3.31 miliyoni pakuphwanya. Ndipo zimenezi sizimawononga mbiri.
Zovuta kupeza deta yapamwamba
Kafukufuku wa 2022 mwa akatswiri a data 500 adawonetsa kuti 77% ya mainjiniya, akatswiri, ndi asayansi a data adakumana ndi zovuta zamtundu wa data. Malinga ndi lipotilo, kuchuluka kwa data kumalepheretsa kampani kuchita bwino pazachuma komanso kuchita bwino ndipo kumapangitsa kuti ntchito zake zisamatheke.
Makampani atha kukhala opanda data yokwanira kuchokera kumagulu enaake kuti aphunzitse mitundu yawo yophunzirira makina (ML) moyenera. Ndipo mndandanda wa data nthawi zambiri umakhala ndi zosagwirizana, zolakwika, ndi zomwe zikusowa. Ngati mumaphunzitsa nsanja zanu za AI ndi mitundu yophunzirira makina pazida zotsika mtengo zomwe zilibe kusiyanasiyana kwa anthu, zidzaneneratu zolakwika, zokondera. Mofananamo, monga kupanga deta yosadziwika, ma aligorivimu osasinthika amatha kupanga ma dataset osadalirika omwe amakhudza zotsatira za kusanthula deta.
Kuchulukitsa ndi data yopangidwa kumatha kukulitsa mtundu wa data pothana ndi kusalinganika kwa ma dataset. Izi zimawonetsetsa kuti makalasi omwe amayimilira pang'ono amalandila kuyimira kofananira ndikuchepetsa kukondera. Chidziwitso champhamvu komanso choyimira chimapereka zotsatira zowunikira bwino komanso maphunziro achitsanzo.
Zosagwirizana ndi dataset
Ma data otengedwa kochokera kosiyanasiyana kapena m'malo osungira ma tebulo ambiri amatha kuyambitsa zosagwirizana, kupanga zovuta pakukonza ndi kusanthula deta ndikulepheretsa zatsopano.
Mwachitsanzo, kuphatikiza deta pazachipatala kumaphatikizapo ma rekodi azaumoyo amagetsi (EHRs), zovala, mapulogalamu okhudzana ndi eni ake, ndi zida za anthu ena. Dongosolo lililonse litha kugwiritsa ntchito mitundu yosiyana ya data ndi machitidwe azidziwitso, zomwe zimapangitsa kuti pakhale kusiyana kwamitundu, mapangidwe, kapena mayunitsi pakuphatikiza. Kugwiritsa ntchito deta yopangidwa kumatha kuthana ndi vutoli, kuonetsetsa kuti zikugwirizana komanso kulola kutero kupanga deta m'njira yomwe mukufuna.
Kusadziwika sikukwanira
Njira zosadziwika bwino sizokwanira kuthana ndi zoopsa zachinsinsi kapena zovuta zamtundu wa data. Komanso, masking kapena kuchotsa zizindikiritso zimatha kuchotsa zambiri zofunika kuti muwunike mozama m'ma dataset akuluakulu.
Kupatula apo, deta yosadziwika ikhoza kudziwikanso ndikutsatiridwanso kwa anthu. Ochita zankhanza atha kugwiritsa ntchito kusanthula kwapamwamba kuti apeze njira zotengera nthawi zomwe zimasokoneza kusadziwika kwa data yomwe imawoneka ngati yosadziwika. Dongosolo la Synthetic ndilapamwamba kuposa zomwe sizikudziwika pankhaniyi.
Mosiyana anonymization, synthetic data sichisintha ma dataset omwe alipo koma imapanga zatsopano zomwe zimafanana ndi mawonekedwe ndi mawonekedwe a data yaiwisi, kusunga zothandiza zake. Ndichidziwitso chatsopano chomwe mulibe zambiri zomuzindikiritsa.
Koma ndizosiyana kwambiri kuposa izo. Pali mitundu ingapo ya njira zopangira deta.
Mitundu ya kupanga deta yopangira
Kupanga deta ya Synthetic njira zimasiyanasiyana kutengera mtundu wa deta yofunikira. Mitundu ya data yophatikizika imaphatikizapo zonse zopangidwa ndi AI, zozikidwa pa malamulo, ndi zonyoza - msonkhano uliwonse ndi chosowa chosiyana.
Zambiri zopangidwa ndi AI
Mtundu uwu wa zopangapanga imapangidwa kuchokera poyambira pogwiritsa ntchito ma algorithms a ML. The makina kuphunzira chitsanzo sitima pa deta yeniyeni kuti muphunzire za kapangidwe ka deta, mawonekedwe, ndi maubale. Generative AI ndiye amagwiritsa ntchito chidziwitsochi kuti apange deta yatsopano yomwe imafanana kwambiri ndi zowerengera zoyambirira (kachiwiri, ndikupangitsa kuti zisadziwike).
Mtundu uwu wa deta yopangidwa kwathunthu ndizothandiza pa maphunziro a chitsanzo cha AI ndipo ndi zabwino zokwanira kugwiritsidwa ntchito ngati kuti ndi deta yeniyeni. Zimapindulitsa makamaka ngati simungathe kugawana nawo nkhokwe zanu chifukwa cha mapangano achinsinsi. Komabe, kuti mupange deta yopangira, muyenera kuchuluka kwa deta yoyambirira ngati poyambira makina kuphunzira chitsanzo maphunziro.
Dongosolo la Synthetic mock
izi zopangapanga mtundu umatanthawuza za data yopangidwa mwachisawawa yomwe imatsanzira kapangidwe kake ndi mtundu wa data yeniyeni koma osawonetsa zenizeni zenizeni. Zimathandizira opanga kuwonetsetsa kuti mapulogalamu awo amatha kuthana ndi zolowa ndi zochitika zosiyanasiyana popanda kugwiritsa ntchito zenizeni, zachinsinsi, kapena deta tcheru ndipo, chofunika kwambiri, popanda kudalira deta yeniyeni. Mchitidwewu ndi wofunikira pakuyesa magwiridwe antchito ndikuyenga mapulogalamu apulogalamu m'njira yoyendetsedwa ndi chitetezo.
Nthawi yoti mugwiritse ntchito: Kulowetsa zizindikiritso zachindunji (PII) kapena pomwe mulibe data ndipo simukufuna kuyika nthawi ndi mphamvu pofotokoza malamulo. Madivelopa nthawi zambiri amagwiritsa ntchito data mock kuti awunikire magwiridwe antchito ndi mawonekedwe a mapulogalamu akamayambika, kuwalola kuzindikira zovuta zomwe zingachitike kapena zolakwika zamapangidwe.
Ngakhale kuti deta yachipongwe ilibe chidziwitso cha chidziwitso chenichenicho, imakhalabe chida chofunika kwambiri chowonetsetsa kuti machitidwe akugwira ntchito moyenera komanso mawonekedwe owonekera asanaphatikizepo deta yeniyeni.
Zindikirani: Dongosolo lonyozedwa la Synthetic nthawi zambiri limatchedwa 'data yabodza,' ngakhale sitikulimbikitsa kugwiritsa ntchito mawuwa mosinthana chifukwa amatha kusiyanasiyana.
Zambiri zopangira malamulo
Zambiri zopangira malamulo ndi chida chothandiza popanga makonda osunga deta kutengera malamulo, zopinga, ndi malingaliro. Njirayi imapereka kusinthasintha polola ogwiritsa ntchito kukonza zotulutsa deta molingana ndi zosowa zenizeni zabizinesi, kusintha magawo monga ochepera, opambana, komanso owerengera. Mosiyana ndi deta yopangidwa ndi AI, yomwe ilibe makonda, deta yokhazikitsidwa ndi malamulo imapereka yankho logwirizana kuti likwaniritse zofunikira zogwirira ntchito. Izi ndondomeko yopanga deta imakhala yothandiza makamaka pakuyesa, chitukuko, ndi kusanthula, komwe kupangidwa kolondola komanso koyendetsedwa bwino ndikofunikira.
Njira iliyonse yopangira deta imakhala ndi ntchito zosiyanasiyana. Pulatifomu ya Syntho ikuwoneka bwino popanga mapasa opangira ma data osachita chilichonse. Mumawerengera molondola, zopangira zapamwamba kwambiri pazosowa zanu zomwe zilibe tsatanetsatane.
Tabular synthetic data
Teremuyo tabular synthetic data akutanthauza kupanga deta yokumba magawo ang'onoang'ono omwe amatsanzira kapangidwe kake ndi ziwerengero zadziko lenileni deta yamatawu, monga deta yosungidwa m'matebulo kapena masipuredishiti. Izi zopangapanga amapangidwa pogwiritsa ntchito ma synthetic data generation algorithms ndi njira zomwe zimapangidwira kutengera mawonekedwe a gwero deta ndikuwonetsetsa kuti chinsinsi kapena deta tcheru sizikuwululidwa.
Njira zopangira zojambula zopangapanga nthawi zambiri amaphatikiza ma statistical modelling, mitundu yophunzirira makina, kapena mitundu yopangira monga ma generative adversarial network (GANs) ndi ma variational autoencoder (VAEs). Izi zida zopangira data santhulani machitidwe, magawidwe, ndi kulumikizana komwe kulipo mu dataset yeniyeni kenako pangani zatsopano mfundo zazidziwitso kuti kufanana kwambiri ndi deta yeniyeni koma mulibe zambiri zenizeni.
Tabular yodziwika bwino zopangira zogwiritsira ntchito data zikuphatikizapo kuthetsa nkhawa zachinsinsi, kuonjezera kupezeka kwa deta, ndi kutsogolera kafukufuku ndi zatsopano mu mapulogalamu oyendetsedwa ndi deta. Komabe, ndikofunikira kuwonetsetsa kuti vutoli zopangapanga imagwira bwino njira zoyambira ndikugawa kwazomwe zidayambira kuti zisungidwe data zothandiza ndi kuvomerezeka kwa ntchito zapansi.
Ntchito zodziwika kwambiri za data zopangidwa
Deta yopangidwa mongopeka imatsegula mwayi wazinthu zachipatala, zogulitsa, zopanga, zachuma, ndi mafakitale ena. Choyambirira gwiritsani ntchito milandu ziphatikizepo kukweza deta, kusanthula, kuyesa, ndi kugawana.
Upsampling kuti muwonjezere ma dataset
Kupititsa patsogolo kumatanthauza kupanga magulu akuluakulu a data kuchokera ku ang'onoang'ono kuti muwonjezere ndi kusiyanitsa. Njirayi imagwiritsidwa ntchito ngati deta yeniyeni ili yochepa, yosagwirizana, kapena yosakwanira.
Taonani zitsanzo zingapo. Kwa mabungwe azachuma, omanga atha kuwongolera kulondola kwa njira zozindikirira zachinyengo potengera zomwe zachitika kawirikawiri ndi machitidwe mu zachuma. Momwemonso, bungwe lazamalonda litha kukulitsa zambiri zokhudzana ndi magulu omwe sayimiriridwa, kukulitsa kulondola kwa magawo.
Ma analytics apamwamba okhala ndi data yopangidwa ndi AI
Makampani amatha kupititsa patsogolo deta yopangidwa ndi AI yapamwamba kwambiri pakupanga ma data, kusanthula kwamabizinesi, ndi kafukufuku wazachipatala. Synthesizing data zimatsimikizira kukhala njira ina yotheka pamene kupeza ma dataset enieni ndi okwera mtengo kwambiri kapena kuwononga nthawi.
Zambiri zopanga imapatsa mphamvu ochita kafukufuku kuti afufuze mozama popanda kusokoneza chinsinsi cha odwala. Asayansi azidziwitso ndipo ochita kafukufuku amapeza chidziwitso cha odwala, zambiri zachipatala, ndi zambiri za chithandizo, kupeza zidziwitso zomwe zingatenge nthawi yambiri ndi deta yeniyeni. Kuphatikiza apo, opanga amatha kugawana deta momasuka ndi ogulitsa, kuphatikiza GPS yosinthidwa ndi data yamalo kuti apange ma aligorivimu poyesa magwiridwe antchito kapena kukonza zolosera.
Komabe, synthetic data kuwunika ndizovuta. Kutulutsa kwa Syntho Engine kumatsimikiziridwa ndi gulu lotsimikizira zamkati komanso akatswiri akunja ochokera ku SAS Institute. Mu phunziro la zolosera zam'tsogolo, tinaphunzitsa anayi mitundu yophunzirira makina pa data yeniyeni, yosadziwika, ndi yopangira. Zotsatira zinawonetsa kuti zitsanzo zophunzitsidwa pamagulu athu opangira data zinali ndi mulingo wolondola wofanana ndi wophunzitsidwa pamaseti enieni, pomwe data yosadziwika idachepetsa kugwiritsidwa ntchito kwa zitsanzozo.
Kugawana deta kunja ndi mkati
Zopangapanga zimathandizira kugawana zambiri mkati ndi m'mabungwe onse. Mutha gwiritsani ntchito data yopangira ku kusinthanitsa zidziwitso popanda kuyika pachiwopsezo kuphwanya zinsinsi kapena kusatsata malamulo. Ubwino wa data yopangidwa umaphatikizapo kufulumira kwa kafukufuku komanso mgwirizano wogwira mtima.
Makampani ogulitsa amatha kugawana zidziwitso ndi ogulitsa kapena ogulitsa pogwiritsa ntchito deta yopangidwa yomwe imawonetsa machitidwe a kasitomala, kuchuluka kwazinthu, kapena ma metric ena ofunikira. Komabe, kuonetsetsa mlingo wapamwamba wa chinsinsi cha data, zambiri zamakasitomala, ndi zinsinsi zamakampani zimasungidwa mwachinsinsi.
Syntho adapambana 2023 Global SAS Hackathon kwa kuthekera kwathu kupanga ndi kugawana azolondola zopanga data mogwira mtima komanso mopanda chiopsezo. Tinapanga deta ya odwala kuzipatala zingapo zomwe zili ndi odwala osiyanasiyana kuti tiwonetse mphamvu ya zitsanzo zolosera. Kugwiritsa ntchito zida zophatikizika zophatikizika zidawonetsedwa kuti ndizolondola monga kugwiritsa ntchito deta yeniyeni.
Mayeso a Synthetic
Zoyeserera zopanga ndizomwe zimapangidwa mongoyerekeza kuyesa kwa data malo opangira mapulogalamu. Kuphatikiza pa kuchepetsa kuopsa kwa zinsinsi, data yoyeserera yopangidwa imathandizira opanga madalaivala kuwunika mosamalitsa momwe mapulogalamu amagwirira ntchito, chitetezo chake, ndi momwe amagwirira ntchito pazinthu zosiyanasiyana zomwe zingatheke popanda kukhudza dongosolo lenileni.
Mgwirizano wathu ndi imodzi mwa mabanki akuluakulu achi Dutch umavumbula zopangira data phindu kuyesa mapulogalamu. Kupanga deta ndi Syntho Engine zinapangitsa kuti pakhale ma dataset omwe adathandizira banki kufulumizitsa chitukuko cha mapulogalamu ndi kuzindikira zolakwika, zomwe zimapangitsa kuti mapulogalamuwa atulutsidwe mofulumira komanso otetezeka.
Njira zopangira zojambula zopangapanga nthawi zambiri amaphatikiza ma statistical modelling, mitundu yophunzirira makina, kapena mitundu yopangira monga ma generative adversarial network (GANs) ndi ma variational autoencoder (VAEs). Izi zida zopangira data santhulani machitidwe, magawidwe, ndi kulumikizana komwe kulipo mu dataset yeniyeni kenako pangani zatsopano mfundo zazidziwitso kuti kufanana kwambiri ndi deta yeniyeni koma mulibe zambiri zenizeni.
Tabular yodziwika bwino zopangira zogwiritsira ntchito data zikuphatikizapo kuthetsa nkhawa zachinsinsi, kuonjezera kupezeka kwa deta, ndi kutsogolera kafukufuku ndi zatsopano mu mapulogalamu oyendetsedwa ndi deta. Komabe, ndikofunikira kuwonetsetsa kuti vutoli zopangapanga imagwira bwino njira zoyambira ndikugawa kwazomwe zidayambira kuti zisungidwe data zothandiza ndi kuvomerezeka kwa ntchito zapansi.
Syntho's synthetic data generation platform
Syntho imapereka nsanja yanzeru yopangira deta, kupatsa mphamvu mabungwe kuti asinthe mwanzeru deta kukhala mpikisano wampikisano. Popereka njira zonse zopangira deta papulatifomu imodzi, Syntho imapereka yankho lathunthu kwa mabungwe omwe akufuna kugwiritsa ntchito deta yomwe imakhudza:
- Zambiri zopangidwa ndi AI zomwe zimatsanzira ziwerengero za data yoyambirira mu data yopangidwa ndi mphamvu yanzeru zopangira.
- Smart de-identification kuteteza deta tcheru pochotsa kapena kusintha zinthu zodziwikiratu (PII).
- Test data management zomwe zimathandizira kupanga, kukonza, ndi kuyang'anira deta yoyesera yoyimira malo osapanga.
Mapulatifomu athu amaphatikizidwa mumtambo uliwonse kapena malo omwe ali pamalopo. Komanso, timasamalira kukonzekera ndi kutumiza. Gulu lathu lidzaphunzitsa antchito anu kuti agwiritse ntchito Syntho Engine bwino, ndipo tidzapereka chithandizo mosalekeza pambuyo potumiza.
Mutha kuwerenga zambiri za kuthekera kwa Syntho's zopangapanga Generation platform mu Gawo la mayankho patsamba lathu.
Kodi mtsogolomo ndi chiyani pa data yopangira?
Kupanga kwa data kopanga ndi generative AI imathandizira kupanga ndikugawana ma voliyumu ambiri deta yoyenera, kulambalala nkhani zofananira ndi mawonekedwe, zoletsa, komanso chiwopsezo cha kuphwanya kwa data.
Mosiyana ndi anonymization, kupanga deta yopangira amalola kusunga maubwenzi structural mu deta. Izi zimapangitsa deta yopangidwa kukhala yoyenera kusanthula kwapamwamba, kufufuza ndi chitukuko, kusiyanasiyana, ndi kuyesa.
Kugwiritsiridwa ntchito kwa zidziwitso zopangira kumangokulirakulira m'mafakitale onse. Makampani akukonzekera kupanga data synthetic, kukulitsa kukula kwake kuzithunzi zovuta, zomvera, ndi makanema. Makampani adzawonjezera kugwiritsa ntchito mitundu yophunzirira makina ku zoyerekeza zapamwamba kwambiri ndi ofunsira.
Kodi mukufuna kuphunzira zambiri zothandiza ntchito za zopangapanga? Khalani omasuka konzekerani chiwonetsero Webusaiti yathu.
About Syntho
Syntho amapereka anzeru kupanga deta yopangira platform, chothandizira mafomu opangira ma data ambiri ndi njira zopangira, kupatsa mphamvu mabungwe kuti asinthe mwanzeru deta kukhala mpikisano. Zopanga zathu zopangidwa ndi AI zimatsanzira ziwerengero za data yoyambirira, kuwonetsetsa kulondola, zinsinsi, komanso liwiro, monga momwe amawunikiridwa ndi akatswiri akunja monga SAS. Ndi mawonekedwe anzeru odziwikiratu komanso mapu osasinthasintha, chidziwitso chachinsinsi chimatetezedwa ndikusunga kukhulupirika. Pulatifomu yathu imathandizira kupanga, kuyang'anira, ndi kuyang'anira deta yoyesera m'malo osapanga, pogwiritsa ntchito malamulo njira zopangira deta kwa zochitika zomwe mukufuna. Kuphatikiza apo, ogwiritsa ntchito angathe kupanga data yopangira mwadongosolo ndi kupeza deta yeniyeni yoyesera kuti apange zochitika zoyesa ndi chitukuko mosavuta.
Ponena za wolemba
Wim Kees Janssen
CEO & woyambitsa
Syntho, kukula komwe kukusokoneza malonda a deta ndi deta yopangidwa ndi AI. Wim Kees watsimikizira ndi Syntho kuti amatha kutsegula zidziwitso zachinsinsi kuti deta ikhale yanzeru komanso yopezeka mwachangu kuti mabungwe athe kuzindikira zatsopano zoyendetsedwa ndi data. Zotsatira zake, Wim Kees ndi Syntho adapambana Mphotho yapamwamba ya Philips Innovation, adapambana SAS global hackathon mu zaumoyo ndi sayansi ya moyo, ndipo adasankhidwa kukhala otsogola a AI Scale-Up ndi NVIDIA.