In this article, we take a look at data science vs blockchain and cover five reasons why the technology is needed in the field. To get started, let’s quickly cover what data science is.

National Science Foundation funding cuts threaten to devastate U.S. crypto research, say 10 leading professors.

From what it’s understood, blockchain-backed data science can be key in validation of data sources. “I believe blockchain can hold a position in data science as it offers a decentralised ...

Every one of them, and any transaction using them, has been recorded on a blockchain. That gives you a sense of the volume of data the technology can handle. Although Nakamoto designed blockchain ...

He described how he realized that blockchain could help solve the issue of data escapes and privacy for data used to train AI algorithms. The OPF has been working on setting up the infrastructure ...

data science (which includes machine learning and AI), and data governance. Yoğurtçu told me that Syncsort views blockchain, in many ways, as falling under the data governance mantle and that as ...

Blockchain enables secure, transparent, and immutable data storage, which is important in scientific areas where data integrity is essential. Conventional models of science usually provide space ...

I’m one of the presenters at Pint of Science, which is where ... Bitcoin is a currency that runs on blockchain. Healthcare relies increasingly on data, and AI is coming in more and more, whether ...