The technological industry that insists on innovation has ushered in many opportunities in 2020. From the beginning of the year, 5G and chips have become the blue ocean market that the industry must talk about. Not only that, companies in the fields of autonomous driving and artificial intelligence are also stumbling forward.
I still remember that on the dry and hot San Francisco summer, many people gathered on the street, holding signs with the red and bold X number, shouting "No Face Recognition!"
The downstairs of technology giants such as Facebook, Amazon, and Google are blocked. Therefore, we will find out how badly the leakage of user data privacy will have.
This is not only the case for foreign technology companies, but even our domestic technology companies are also in danger.
An endless stream of user data privacy breaches has once again escalated the contradiction between technological development and user privacy...
Apologizes and thank you guests behind closed doors. The promises from the past that they will not be leaked have also proved to be invalid. After 15 years of rapid development, most of the technology companies suddenly broke out negative incidents, which caused users to reduce their trust in technology companies. Unprecedented resistance from users.
The emergence of the crisis has pressed the pause button for the technology industry. While everyone is busy occupying the technological high ground, implementing commercialization, and occupying the market to gain benefits, technology companies have to start to consider privacy issues from the perspective of users.
Technology companies in 2020 are serving users with cutting-edge technologies that make them proud and headaches, and at the same time reflect on themselves amidst controversy...
There is a huge amount of data hidden behind the disputes over user privacy issues. Cloud computing filters the data and produces greater value after processing. The emergence of artificial intelligence makes data more specific and diversified.
Especially in recent years, artificial intelligence has made rapid progress in commercialization. From traditional data to today's biological data such as face recognition, voice, and fingerprints, user needs have become more and more clear in the face of new technologies that are iterated again and again.
In the mobile Internet era, big data has become a hot word. Users can always find their own consumption data on the Internet, recent browsing records, past consumption records, and users who go online every day will leave a lot of their own data.
After entering the era of artificial intelligence, users have more diversified human-computer interaction methods. They are not limited to text input, but can also search by voice or even upload pictures. Multiple interaction means generating more multiple data information.
Relying on the grasp of user data, many technology companies have gained a firm foothold in the Internet era and further iterated user data information.
Seeing this, we will find that from the Internet era to the era of artificial intelligence, from traditional data to biological data, the security problems brought about by the development of new technologies have become unavoidable problems and the trend is irreversible. The quality and the rapid speed of big data and artificial intelligence With the development, more and more data and types of users are collected.
It’s so much that you can master your day’s whereabouts only through a mobile phone. Then, under this trend, we will find that how to solve security problems has become the top priority of protecting user privacy. In this process, we can use super Methodology in product strategy to find a balance between technology companies and user privacy.
Before that, we will find that the collection of user data is nothing new. Many companies have reached an agreement with users on the collection of user data. How the data will be stored and used after it is collected, and the security issues caused by new technologies. The key is, what will the user's biological data be used for?
We all know that what people fear most comes from the unknown. As long as we know more, the fear will be less. This is also true for users and enterprises. According to the characteristics of the super product strategy methodology: pay close attention to user groups. Let users know the enterprise's data authority and the entire data processing link, which can effectively bring users a sense of security.
For example, the US states of Illinois and Texas passed biometric identification laws that require companies that collect user data to follow basic privacy protocols, such as obtaining user consent before collection, stipulating data protection obligations and restricting retention Location, it is forbidden to profit from biological data...
Not only that, but also strengthen the protection of product security issues, for example, constantly update iterative products, so that product users bring value while enhancing user privacy.
For technology companies that have grown rapidly against the wind, their success comes from their grasp of data, so that they can continue to create products or functions that users need, and the loss lies in the security of data. After several years of rapid With the development, the industry has gradually formulated rules and some restrictions. While thinking about how to win the market and maximize profits, technology companies may wish to consider user privacy and security issues from the perspective of users through super product strategies.
The emergence of privacy issues does not mean that the development of new technologies needs to be stagnated. The standardized use of technology is a protracted battle from the industry to the big data literacy of every user. There is still a long way to go.