The future of blockchain

One reason is that blockchain’s use of a decentralized ledger offers insight into the workings of AI systems and the provenance of the data these platforms may be using. As a result, transactions can be facilitated with a high level of trust while maintaining solid data integrity. Not only that, but the use of blockchain systems to store and distribute AI-centric operational models can help in the creation of an audit trail, which in turn allows for enhanced data security.

Furthermore, the combination of AI and blockchain, at least on paper, seems to be extremely potent, one that is capable of improving virtually every industry within which it is implemented. For example, the combination has the potential to enhance today’s existing food supply chain logistics, healthcare record-sharing ecosystems, media royalty distribution platforms and financial security systems.

That said, while there are a lot of projects out there touting the use of these technologies, what benefits do they realistically offer, especially since many AI experts believe that the technology is still in its relative infancy? There are many firms that are marketing the use of AI as part of their current offerings, giving rise to the blatant question: What exactly is going on here?

With the cryptocurrency market continuing to grow from strength to strength over the last couple of years, the idea of artificial intelligence (AI) making its way into the realm of crypto/blockchain technology has continued to garner an increasing amount of mainstream interest across the globe.

Are AI and blockchain a good match?

To gain a broader and deeper understanding of the subject, Cointelegraph spoke with Arunkumar Krishnakumar, chief growth officer at Bullieverse — an open-world 3D metaverse gaming platform that utilizes aspects of AI tech. In his opinion, both blockchain and AI address different aspects of a dataset’s overall lifecycle.

Kismet, a robot experiment in affective computing and AI. 

While blockchain primarily deals with things like data integrity and immutability — making sure that information data that sits on a blockchain is of high quality — AI uses data that is stored efficiently to provide meaningful and timely insights that researchers, analysts and developers can act on. Krishnakumar added:

“AI can help us to not just make the right decisions through a specific situation, but it can also provide predictive heads-up as it gets more trained and intelligent. However, blockchain as a framework is quite capable of being an information highway, provided scalability and throughput aspects are addressed as this technology matures.”

When asked whether AI is too nascent a technology to have any sort of impact on the real world, he stated that like most tech paradigms including AI, quantum computing and even blockchain, these ideas are still in their early stages of adoption. He likened the situation to the Web2 boom of the 90s, where people are only now beginning to realize the need for high-quality data to train an engine.

Source: cryptohotnews