- Idatha yokwenziwa wulwazi olukhiqizwe ngokuzenzisa olulingisa idatha yangempela ngaphandle kokuqukatha ulwazi lomuntu siqu.
- Zisetshenziswa kubuhlakani bokwenziwa, ukuhlolwa kwesoftware, ucwaningo lwezokwelapha, nokuhlaziywa kwezezimali.
- Ukukhiqizwa kwayo kusekelwe ezindleleni ezifana nokumodela kwezibalo, amanethiwekhi e-neural akhiqizayo, nokulingisa kwekhompyutha.
- Banikeza izinzuzo ezifana nobumfihlo, ukuncishiswa kwezindleko, nokwanda kokufinyeleleka, kodwa balethe izinselele ezifana nokuchema nekhwalithi yedatha.
Namuhla, ukusetshenziswa kwedatha kusenhliziyweni yokusungula izinto ezintsha kwezobuchwepheshe kanye nebhizinisi. Kodwa-ke, ukuntuleka kokufinyelela idatha yangempela esezingeni eliphezulu, kungakhathaliseki ukuthi kungenxa yemikhawulo yobumfihlo, izindleko eziphakeme, noma ukuntuleka kwamasampula, kuholele ekuthuthukisweni kwenketho entsha: idatha yokwenziwa . Le datha ekhiqizwe ngokwenziwa ivumela ukuqeqesha amamodeli obuhlakani bokwenziwa, ukwenza izivivinyo, kanye nokwenza ngcono izinqubo ngaphandle kokubeka engcupheni ulwazi olubucayi.
Idatha yokwenziwa ithole ukuvelela emikhakheni eminingi, kusukela ocwaningweni lwezokwelapha kuya ekuphepheni kwe-cyber kanye nokuthuthukiswa kwesofthiwe. Ngenxa yamasu athuthukile njengokufunda komshini kanye namanethiwekhi e-neural akhiqizayo, kungenzeka ukudala idatha elingisa amaphethini nezici zamasethi edatha angempela, ngaphandle kokubeka engcupheni ubumfihlo noma ukuthembela eqoqweni elikhulu lolwazi lwangempela. Ngenxa yalesi sizathu, zihlobene kakhulu nokuphathwa kwengozi yokuphepha kwe-cyber.
Iyini idatha yokwenziwa?
Idatha yokwenziwa ulwazi olukhiqizwa ngokwenziwa kusetshenziswa ama-algorithms namamodeli okufunda komshini ukuphinda izici nokusatshalaliswa kwedatha yangempela. Ngokungafani nedatha yendabuko, le datha ayiveli ngqo ezenzakalweni noma ekusebenzisaneni kwabantu, kodwa yenzelwe ukuqeqesha nokulingisa ngaphandle kokuqukatha ulwazi oluhlonza umuntu.
Le datha ingadalwa ngezindlela eziningi, njengokumodela kwezibalo , ukulingisa ikhompyutha, noma ukusetshenziswa kwamanethiwekhi e-neural athuthukile. Ukuguquguquka kwayo kanye nekhono lokugcina isakhiwo namaphethini edatha yokuqala kuye kwenza kwaba ithuluzi elibalulekile lobuhlakani bokwenziwa kanye nokuhlaziywa kwedatha. Lokhu kukhiqizwa kwedatha kungathuthukisa nezinhlelo zolwazi lokuphatha.
Idatha yokwenziwa isetshenziselwa ini?
Idatha yokwenziwa inezinhlelo zokusebenza eziningi , ikakhulukazi emikhakheni lapho ukufinyelela idatha yangempela kunqunyelwe noma kuvinjelwe yimithethonqubo yobumfihlo. Ezinye zezinhlelo zayo eziyinhloko zifaka:
- Ukuqeqesha amamodeli e-artificial intelligence: Akuvumela ukuthi uthuthukise ukunemba kwamamodeli okufunda komshini ngaphandle kokuthi usebenzise idatha yangempela ebucayi.
- Ukuhlolwa kwesofthiwe nokuqinisekisa amasistimu: Basiza onjiniyela bahlole futhi balungise izinhlelo zokusebenza ngaphandle kokufaka engozini ulwazi olubucayi.
- Ucwaningo lwesayensi nezokwelapha: Asetshenziselwa ukuthuthukisa amamodeli wokubikezela ezindaweni ezifana nezakhi zofuzo nempilo, ukuvikela ubunikazi beziguli.
- Ukutholwa kokukhwabanisa nokuhlaziywa kwezimali: Benza lula ukukhonjwa kwamaphethini omgunyathi ngaphandle kokuveza idatha yekhasimende yangempela.
Ikhiqizwa kanjani idatha yokwenziwa
Kunezindlela eziningana zokwenza idatha yokwenziwa, ngayinye inezinzuzo zayo kanye nezinhlelo zokusebenza. Phakathi kweziyinhloko, sithola:
- Ukumodela kwezibalo: Isebenzisa amamodeli ezibalo ukukhiqiza idatha elandela ukusatshalaliswa kwamathuba afanayo njengedatha yangempela.
- I-Generative Adversarial Networks (GANs): Amanethiwekhi amabili e-neural asebenza ndawonye ukuze adale idatha yokwenziwa engokoqobo, ngokusekelwe kumaphethini edatha yasekuqaleni.
- ukulingiswa kwekhompyutha: Khiqiza idatha kusuka kuzimo zomhlaba wangempela ezilingisa ngedijithali.
Izinzuzo nezinzuzo zedatha yokwenziwa
Ukusetshenziswa kwedatha yokwenziwa kunikeza izinzuzo eziningi uma kuqhathaniswa nedatha yangempela, ikakhulukazi ezimweni lapho ubumfihlo kanye nokutholakala kwedatha kuyinkinga.
- Ukuvikelwa kobumfihlo: Ngokungafaki ulwazi lomuntu siqu olukhonjwayo, bathobela imithetho efana ne-GDPR.
- Ukufinyeleleka kanye scalability: Angakhiqizwa ngamanani angenamkhawulo, ngaphandle kwemikhawulo yendawo noma yesikhashana.
- ukonga izindleko: Banciphisa isidingo sokuqoqa nokugcina imiqulu emikhulu yedatha yangempela.
- Ukuhlukahluka okukhulu nokulinganisela: Avumela ukudalwa kwamasethi amaningi wedatha amele futhi asuse ukuchema kuma-algorithms.
Izingozi nezinselele zokusebenzisa idatha yokwenziwa
Naphezu kwezinzuzo zayo, idatha yokwenziwa iphinda iveze izinselelo ezithile nezingozi okufanele zicatshangelwe:
- Ukuchema okungaba khona kudathaUma idatha yoqobo ichemile, idatha yokwenziwa ingase izuze lezi zinkinga njengefa.
- Ikhwalithi nokunemba: Azibonisi njalo ngokwethembeka ubunkimbinkimbi bedatha yangempela.
- I-Desafíos tecnicosUkukhiqiza idatha yokwenziwa ethembekile kudinga ubuchwepheshe obuthuthukisiwe nezinsiza.
Ukwanda kwedatha yokwenziwa kushintsha indlela amabhizinisi nezinhlangano eziphatha ngayo ulwazi. Ngokunikeza enye indlela ephephile, engalinganiswa, futhi ephumelelayo yedatha yangempela, idatha yokwenziwa ivumela ukuthuthukiswa kobuchwepheshe obusha, ithuthukisa ubumfihlo bedatha , futhi inciphisa izindleko emikhakheni ebalulekile njengobuhlakani bokwenziwa kanye nokuphepha kwe-cyber. Akungabazeki ukuthi ukwamukelwa kwayo kuzoqhubeka nokukhula njengoba amathuluzi okukhiqiza idatha ethuthuka, okuvula amathuba amasha okusungula izinto ezintsha okuqhutshwa idatha.
