In: Operations Management
3.What are some of the major privacy concerns in employing intelligent systems on mobile data?
4. Identify common violations of user privacy from current literature and their impact on data science as a profession.
Need 500 words
3. Intelligent systems invade all our mobile data which might include our personal details or any other details we want to keep to ourselves like passwords, usernames etc., Intelligent systems monitor each and every message in and out of the mobile and all the data stored in it . Any person who hacked this system can access complete data stored which would make all our data be lost and hacked . This would cause many problems like company data being leaked .
4. In the current situation, privacy of data is a major issue because increasing technology is creating more scope for hackers to steal the information. Mobiles, systems which are used with high security passwords can give away our data just be stealing our password . Such new techniques with the help of technology is a great threat to privacy . In data science we store so much information some of which needs to be stored as private . Such information if stolen makes all our work go waste and competitors get our work . Hence data science has much threat from privacy of our data and needs to be stored with much higher security standards.