Artificial intelligence, data, and blockchain. When the popularization of computers began 70 years ago, we would never have imagined the level of digitization the world is experiencing today. With the advent of the metaverse and the development of artificial intelligence, it is becoming increasingly difficult to distinguish between the physical and the digital.
On the other hand, data has become a highly valuable resource in the digital age. Generated from recording the characteristics and behaviors of observed objects, data can take many forms, including words, numbers, graphs, audio, and video.
According to Statista, it is estimated that connected devices worldwide will total 30.9 billion units by 2025. These devices generate massive data. IDC predicts that, by the same year, the global data circle will expand to 163ZB (1 trillion GB), which is ten times the 16.1ZB of data generated in 2016.
How can we harness the value of data on a scale of such magnitude? AI may be the answer.
Sixty years ago artificial intelligence appeared on the map during a six-month seminar at Dartmouth College in the summer of 1956, a group of young scientists, including Minsky, coined the term “artificial intelligence.” Since then, machine learning algorithms based on big data and great computing power have made breakthroughs in several fields of artificial intelligence.
Today, most people are familiar with artificial intelligence. This technology has been integrated into our daily lives. From online shopping to industrial production, we see the convenience and progress that artificial intelligence generates.
Deloitte’s White Paper on the global development of AI in 2019 predicted that the global AI market is expected to exceed $6 trillion by 2025, with a compound growth rate of 30% from 2017 to 2025. A research report published by PwC suggests that global GDP will be 14% higher by 2030 as a result of AI adoption, contributing an additional $15.7 trillion to the world economy.
Over the past 60 years, the field of artificial intelligence has flourished. As we move towards the fourth industrial revolution, the technological revolution, the power of this technology has become increasingly apparent.
Data privacy: an obstacle to artificial intelligence?
For artificial intelligence to become the core technology, three elements are indispensable: data, algorithms, and computational power.
The widespread adoption of the mobile Internet has contributed to the incredible growth of global data. This data provides the “production material” for AI. While we cannot deny the breakthrough of AI, there are still hurdles to overcome for mass adoption.
Companies face a major dilemma: while sharing data and interacting with other companies clearly improves the performance of AI algorithms, they must also ensure that their data is not disclosed as such.
Additionally, developing artificial intelligence is expensive. Some institutions believe that the cost of training next-generation artificial intelligence models could increase by a factor of 100 by 2025, from around $1 million today to more than $100 million.
Faced with challenges such as data privacy, high costs, and centralization of technologies, how can AI overcome these obstacles and move forward? Research and application of certain cutting-edge technologies have paved the way.
Blockchain comes to the rescue
The emergence of blockchain and privacy-preserving computing has inspired AI. The ingenious data fabric has catalyzed the interplay between blockchain, privacy-preserving computing, and AI in different ways. When these technologies are combined, data processing reaches a new level.
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