Рақамли трансформация замонавий бизнеснинг ажралмас қисмига айланяпти ва сунъий интеллектни (СИ) компания жараёнларига жорий этиш самарадорликни ошириш учун янги имкониятлар яратади. Аммо маълумотлар ҳажмининг ўсиши билан уларни ҳимоя қилиш ва махфийлик принциплари бўйича қонунларга риоя қилиш муҳим аҳамиятга эга. Ушбу мақолада рақамли трансформациянинг асосий жиҳатлари ва СИнинг маълумотларни ҳимоя қилиш қонунчилигига мувофиқ жорий этилиши кўриб чиқилган. Махфийликни таъминлаш методларига, жумладан маълумотларни анонимлаштириш ва шахсий маълумотларни ҳимоя қилиш учун машина ўрганиш алгоритмларидан фойдаланишга алоҳида эътибор қаратилган.
| Mualliflar | Murodov , Safidkhon, Муродов , Сафидхон, Муродов , Сафидхон |
|---|---|
| Jurnal | Иқтисодий тараққиёт ва таҳлил |
| Nashr sanasi | 2025-01-31 |
| Jild | 3 |
| Son | 1 |
| Betlar | 368-377 |
| Til | Rus |
| DOI | 10.60078/2992-877x-2025-vol3-iss1-pp368-377 |
DOI: 10.60078/2992-877x-2025-vol3-iss1-pp368-377 · Maqolaning asl sahifasi
цифровая трансформация, искусственный интеллект, защита данных, конфиденциальность, анонимизация данных, машинное обучение, защита персональной информации, законодательство о защите данных, digital transformation, artificial intelligence, data protection, confidentiality, data anonymization, machine learning, personal information protection, data protection legislation, рақамли трансформация, сунъий интеллект, маълумотлар ҳимояси, махфийлик, маълумотларни анонимлаштириш, машина ўрганиш, шахсий маълумотларни ҳимоя қилиш, маълумотларни ҳимоя қилиш қонунчилиги
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