Synthetic data kushandiswa kesi
Shandisa synthetic data pane chaiyo (sensitive) data
Vatengi vedu vanoshandisa data zvine hungwaru kuburikidza neakasiyana ekugadzira data makesi ekushandisa. Ongorora pano anonyanya kukosha ekugadzira data makesi ekushandisa iwe!
Muenzaniso wekushandisa kesi 1
Synthetic data se bvunzo data
Kuedza uye kusimudzira ine mumiriri bvunzo data kwakakosha kuendesa mamiriro-e-iyo-software mhinduro.
Challenge
Kushandisa data rako pachako kana data rekutanga rekugadzira sezvo testdata haibvumirwe uye dzimwe nzira dzakasakara uye kuunza "legacy-by-design".
Mhinduro yedu
Nunura uye buritsa mamiriro-e-iyo-software mhinduro nekukurumidza uye nemhando yepamusoro neAI yakagadzira synthetic test data.
- Kugadzira-kufanana nedata
- Privacy by design
- Nyore, nekukurumidza uye agile
Muenzaniso wekushandisa kesi 2
Synthetic data ye analytics
Isu tiri pakati pekuchinja kwedhijitari uye mhinduro dzinofambiswa nedata dzave kuda kushandura nyika yedu yese. Nekudaro, izvo zvinofambiswa nedata zvigadziriso zvinongonaka se data ravanogona kushandisa. Izvi zvinonetsa nekuda kweiyo yakasimba data / kuvanzika mitemo.
Challenge
Hapana data = hapana analytics. Mazhinji masangano ane sub-optimal data hwaro apo data haigone kungoshandiswa nekugovaniswa.
Mhinduro yedu
Vaka yako yakasimba data nheyo ine nyore uye nekukurumidza kuwana kune-yakanaka-se-chaiyo AI inogadzirwa data rekugadzira.
- Vhura (sensitive) data
- Se-yakanaka-se-chaiyo data
- Nyore, nekukurumidza uye scalable
Muenzaniso wekushandisa kesi 3
Synthetic data ye chigadzirwa demo's
Kuona kutenda: iwe unozoda "demo data" yedemo yechigadzirwa kushamisa tarisiro yako neanotevera-level chigadzirwa demo.
Challenge
Iwe unogona kupotsa mikana, nekuti yako demo data iri suboptimal kune chigadzirwa demo's.
Mhinduro yedu
Shamisa tarisiro yako neanotevera-chikamu chigadzirwa demos, akarongedzerwa nemumiriri AI yakagadzira synthetic demo data.
- Zvisina kukanganisa, yemhando yepamusoro demo data
- Rongedza yako chigadzirwa demo
- Nyore, nekukurumidza uye agile
Muenzaniso wekushandisa kesi 4
Synthetic data ye data sharing
Masangano mazhinji anovavarira kuwana hunyanzvi hunofambiswa nedata. Pano, data rakakosha uye rinowanzoda kugovaniswa mukati kana kunze nevechitatu mapato sepokutangira. Zviri nyore: pasina data, hapana data-inofambiswa hunyanzvi uye hapana mikana yekubatana. Kunyanya pakuzadzikiswa kwehunyanzvi hunofambiswa nedata, kuve nehwaro hwakasimba hwekuwana uye kugovera data rakakodzera kwakakosha.
Challenge
Matambudziko ekugovanisa data anosanganisira maitiro emutemo anopedza nguva, asina kutorwa data rakakosha, kushaikwa kwechimiro chakasimba chekugovana chinotungamira kumisikidzwa kweprojekiti uye kuderedzwa.
Mhinduro yedu
Govera synthetic data seimwe nzira yekugovana data chaiyo. Izvi zvinobvumira vatengi vedu kubvisa izvo zvataurwa pamusoro pekugovana-data matambudziko. Pakupedzisira, izvi zvinogadzira hwaro hwakasimba hwekuona hunyanzvi hunofambiswa nedata, asi zvadaro, mune agile nzira iyo data inogona kuwanikwa uye kugoverwa zvakasununguka.
- Sunungura kuwana data nekukurumidza
- Govera iyo data nemapato akasiyana pasina zvekuvanzika
- Kukurumidza kuvandudza
- Wedzera kuchengetwa kwevatengi uye kutora
Muenzaniso wekushandisa kesi 5
Synthetic data ye data monetization
Unlike traditional methods like data anonymization, synthetic data offers a faster and more aligned approach, granting access to the entire dataset while preserving individual privacy.
Challenge
Kusazivikanwa kwedata hakuwanzo kutungamira kune isingazivikanwe data uye kunoderedza mhando yedata.
Mhinduro yedu
Use synthetic data to streamline processes, and enhance the quality of insights derived, enabling more effective and maitiro ekuita mari data.
- Vhura mitsva yekutsvaga mari
- Secure synthetic data marketplace
- Data catalog with synthetic data
Sevha yako synthetic data gwara izvozvi!
- Chii chinonzi synthetic data?
- Sei masangano achiishandisa?
- Kukosha kuwedzera synthetic data client makesi
- Kutanga
