At the "Global Core Industry Innovation and Semiconductor Industry Development Investment Conference" held in Chengdu, Bitmain Chairman Zhan Ketuan said that as an emerging industry, technology finance has great technical complexity and is in great need of upper-level application software that can be closely integrated with applications, intelligent algorithms, and organically combined with underlying high-performance chips to better serve this industry.
Zhan Ketuan believes that there are three very obvious trends and directions in technology finance:
First, with the support of artificial intelligence technology , today's finance is becoming more and more intelligent, convenient, secure and personalized. Personalization means that the types of finance will become more diverse, facing the public, and achieving inclusive finance.
Second, more and more data will be generated in the process of personalization , and through algorithms, finance will become more and more intelligent and convenient. This will rely more on strong artificial intelligence factors, including data, algorithms and computing power. In this process, computing power chips will have great opportunities.
The third is the application of blockchain in finance . Blockchain finance can be said to be revolutionary to financial business. Blockchain finance will solve the underlying trust problem and ensure the security of financial services.
Zhan Ketuan said that from the perspective of computing chips, blockchain computing chips and AI chips are similar, pursuing high performance and low power consumption, which is where Bitmain excels. Bitmain's AI chip performance also remains a global leader. In terms of AI chips, Bitmain will invest heavily in the field of video analysis and continue to provide customers with excellent products.
In addition, Zhan Ketuan introduced that in addition to the fields of blockchain and artificial intelligence, Bitmain is also paying attention to more opportunities in the fields of technology finance and general high-performance computing chips.
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