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Data science and blockchain/cryptocurrency seem like a match made in heaven. Data scientists have many reasons to pay attention to these new technologies, especially now that crypto and blockchain have gained more mainstream traction. Moreover, there is a ton of data waiting to be leveraged.
Even though many people dismissed crypto as a niche industry that would never appeal to consumers, things look very different today. More specifically, there are more consumer products involving crypto and blockchain than ever before. Therefore, it creates exciting opportunities, mainly where alternative financial products and services are considered.
Contrary to what some may think, crypto and blockchain are about much more than volatile price swings. The technology provides tremendous potential for future consumer applications. However, many apps and solutions used today have issues that need to be addressed. Decentralization may not solve everything right away, but it remains worthwhile to explore the possibilities.
Moreover, the decentralized computational framework provided by blockchain can unlock many use cases. Every decentralized application is a treasure trove of data waiting to be analyzed. Again, not all DApps will succeed, but every experiment provides more knowledge for developers. Additionally, several projects have gained widespread transaction, including NFT marketplaces, decentralized exchanges, wallets, and much more.
Analyzing all of this data is tricky. Although everything is public and independently verifiable, it remains essential to analyze and leverage the available
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