Isu tiri pakati pekuchinja kwedata uye mhinduro dzinofambiswa nedata (semuenzaniso kubva padashboards [BI] kuenda kune advanced analytics [AI & ML]) dzave kuda kushandura nyika yedu yese. Nekudaro, izvo zvinofambiswa nedata mhinduro dzakangonaka se data ravanogona kushandisa. Izvi zvinowanzonetsa kana iyo data inodiwa iri kuvanzika.
Nekudaro, hwaro hwakasimba hwedata hune nyore uye nekukurumidza kuwana data inogona kushandiswa, yakakodzera uye inodiwa yakakosha kugadzira mhinduro dzinofambiswa nedata (semuenzaniso madhibhodhi [BI] uye analytics yepamusoro [AI & ML]). Nekudaro, kumasangano mazhinji, zvinonetsa uye zvinotora nguva kuwana data rakakodzera.
Kune masangano mazhinji, zvinonetsa uye zvinotora nguva kuwana data rakakodzera, rinodiwa kuti uone data inotungamirwa-innovation.
Synthetic data inogadzirwa nekushandisa maalgorithms uye matekiniki ehuwandu
Synthetic data inodzokorora hunhu hwehuwandu uye mapatani eiyo chaiyo-yepasi data
Synthetically yakagadzirwa data ine nyowani nyowani uye yekunyepedzera datapoints isina hukama-kune-umwe kune data chaiyo.
Syntho's quality assurance report inoongorora yakagadzira synthetic data uye inoratidza huchokwadi, kuvanzika, uye kumhanya kweiyo synthetic data kana ichienzaniswa neyekutanga data.
Synthetic data inogadzirwa naSyntho inoongororwa, yakasimbiswa uye inobvumidzwa kubva kune yekunze uye chinangwa chemaonero nenyanzvi dze data dzeSAS.
Nguva yakatevedzana data imhando yedata inoratidzwa nekutevedzana kwezviitiko, zvakaonekwa uye/kana kuyerwa kwakaunganidzwa uye kurongeka nemazuva-nguva, kazhinji inomiririra shanduko mukusiyana nekufamba kwenguva, uye inotsigirwa naSyntho.
Vaka yako yakasimba data hwaro ine nyore uye nekukurumidza kuwana kune-yakanaka-se-chaiyo AI-yakagadzirwa synthetic data.