Mimic (sensitive) data neAI kugadzira synthetic data mapatya
Kutevedzera nhamba dzematanho ekutanga mudata rekugadzira nesimba rehungwaru hwekugadzira
Chengetedza ruzivo rwakadzama nekubvisa kana kugadzirisa ruzivo rwunozivikanwa nemunhu (PII)
Gadzira, chengetedza, uye dzora data remumiriri rekuyedza renzvimbo dzisiri dzekugadzira
Iyo inotungamira chikuva kune ese Synthetic Data Generation nzira
Kubva kuAI-Yakagadzirwa Synthetic Data, De-Identification uye Test Data Management. Isu tine zvese zvigadziriso mune imwe iri nyore kushandisa-puratifomu
Synthetic data inogadzirwa neiyo yakanyanya kurongeka, yakaongororwa uye yakatenderwa nenyanzvi dze data dzeSAS
Isu tinobata zvisina mutsetse marudzi ese edata uye akakwenenzverwa mukutsigira zvakanyanya kuomarara zvimiro, senge data reti data
Gadzira zvisingaverengeki pamutengo wakatarwa. Rezinesi redu repamwedzi rakagadzirirwa kune maficha aunoda, kwete kuwanda kwedata raunoburitsa
Syntho inowanzo shandisa munzvimbo yakachengeteka yevatengi vedu kuitira kuti (sensitive) data isambosiya yakachengeteka uye yakavimbika nharaunda yemutengi. Izvi zvinokutendera kuti uunganidze pane kwainochengeterwa data rekutanga kuitira kuti data isambosiya nzvimbo yako yekuchengetedza uye kuti Syntho haamboona, kugamuchira kana kugadzirisa chero data. Saizvozvo, iyo Syntho Injini uye inogona kuiswa nyore uye kubatidzwa munzvimbo yako yesarudzo.
Sarudzo dzinogoneka dzekutumira dzinosanganisira:
Step 1
Syntho inoita kuti iwe ubatane nyore neiyo source data izvo zvakachengetwa mauri source environment. Iyo Source Data ndiyo data yaungade kusanganisa uye iyo Source Yenzvimbo ndiyo nzvimbo inochengeterwa Source Data, inogona kunge iri dhatabhesi kana faira system.
Step 2
Syntho inoita kuti iwe ubatane nyore neiyo nharaunda inotariswa. Iyo Target Environment ndiyo nharaunda yaungade nyora iyo yakagadzirwa data yekugadzira ku, inogona kunge iri dhatabhesi kana mafaera system.