Sie suchten nach: data privacy concerns (Englisch - Persisch)

ensure that the use of applications and platforms does not violate students’ data privacy.
اطمینان حاصل کنید که استفاده از برنامه ها و سیستم های عامل باعث نقض حریم خصوصی داده های دانشجویان نمی شود.

the use of location data from mobile phones by governments for this purpose has prompted privacy concerns, with amnesty international and over 100 other organizations issuing a statement calling for limits on this kind of surveillance.
استفاده از اطلاعات موقعیت مکانی تلفن همراه توسط دولت‌ها برای این هدف، موجب نگرانی‌هایی در زمینه حریم خصوصی شده است و سازمان عفو بین‌الملل و بیش از 100 سازمان دیگر، بیانیه‌ای برای محدود کردن این نوع از نظارت صادر کرده‌اند.

protect data privacy and data security: assess data security when uploading data or educational resources to web spaces, as well as when sharing them with other organisations or individuals.
از حریم خصوصی و امنیت داده ها محافظت کنید: امنیت داده ها را هنگام بارگذاری داده ها یا منابع آموزشی در فضای وب و همچنین هنگام به اشتراک گذاری آنها با سازمان ها یا افراد دیگر، ارزیابی کنید.

information privacy, or data privacy (or data protection), is the relationship between collection and dissemination of data, technology, the public expectation of privacy, and the legal and political issues surrounding them.
حریم خصوصی اطلاعاتی یا داده‌ای یا حفاظت داده‌ها (data privacy) ، رابطه‌ای است بین جمع آوری و توضیع داده‌ها، تکنولوژی، انتظار عمومی از حریم خصوصی و مسائل قانونی و سیاسی در ارتباط با آنها.

chatbots are becoming an integral part of the digital transformation of many industries, including the insurance sector. this change is mainly due to continuous advances in artificial intelligence (ai) and machine learning (ml) technologies, which have made chatbots increasingly sophisticated and capable of understanding and responding to customer inquiries precisely and quickly. chatbots have emerged as a valuable tool in the insurance industry, serving various functions ranging from sales and products and respond to inquiries. in this way, they can collect contact data and pass those leads on to the sales team, improving the company's ability to convert leads into actual customers. additionally, insurance chatbots are a policy management tool. they can help customers manage their policies, make changes and access contract details. this self-service feature provides customers with a convenient and easy way to manage their insurance policies without the need to contact customer service or fill out complex forms. chatbots also play a crucial role in risk prevention and advisory services. they can inform customers of potential risks and suggest preventative measures, helping mitigate damage and reduce long-term costs. integrating chatbots with smart devices and the internet of things (iot) offers additional possibilities. by analysing data from connected devices such as smart homes, vehicles or wearables, chatbots can provide more accurate insurance quotes and inform customers of potential risks or areas for improvement. however, successfully deploying chatbots in the insurance industry comes with challenges, including ensuring data privacy and security, managing customer expectations, and maintaining a balance between automated and human interactions. therefore, insurance companies must develop comprehensive strategies to use chatbots while addressing these potential issues effectively. empirical research into the usability of chatbots in the insurance industry has scientific and practical importance for several reasons. from a scientific perspective, it contributes to understanding how artificial intelligence, machine learning and communication technologies transform traditional industries such as insurance. it examines the impact of these technologies on customer behaviour, business processes and overall industry dynamics. this knowledge can be instrumental in shaping further research and development in this area. from a scientific and applied perspective, the study provides new knowledge to help insurance companies optimise their operations, improve customer service and increase sales. given the competitive nature of the insurance market, companies must use innovative solutions like chatbots to stay ahead. therefore, understanding how to effectively and efficiently use the technological capabilities of chatbots for communication and sales is critical.
چت بات ها در حال تبدیل شدن به بخشی جدایی ناپذیر از تحول دیجیتال بسیاری از صنایع، از جمله بخش بیمه هستند. این تغییر عمدتاً به دلیل پیشرفت‌های مداوم در فناوری‌های هوش مصنوعی (ai) و یادگیری ماشین (ml) است که ربات‌های چت را به طور فزاینده‌ای پیچیده و قادر به درک و پاسخگویی دقیق و سریع به سؤالات مشتری کرده است. چت بات ها به عنوان یک ابزار ارزشمند در صنعت بیمه ظاهر شده اند و عملکردهای مختلفی از فروش و