The goal of this Web3 AI protocol is to allow players to tokenize their data from major games as Data NFTs.

In recent times, artificial intelligence (AI) has undoubtedly become the most influential technology. People adored employing AI for endless false video creation, coursework, code debugging, and novel writing.

It should come as no surprise that technology has been growing at an exponential rate globally since 2022. Statista projects that this growth will continue until 2030, when the industry is expected to reach a valuation of $740 billion. According to a different survey, over one-third of companies have already implemented AI in some capacity, and over 90% of firms support the technology if it gives them a competitive advantage in the marketplace.

Data challenges AI

AI is encountering significant challenges, much like any other technological breakthrough that is being embraced this quickly worldwide. In addition to the legal conundrums AI firms must resolve, the "data-hungry" nature of the underlying technology, deep learning, presents significant challenges: In order to provide the best answers for each issue, AI learning models must be trained with a variety of parameters.

To train AI systems, enormous volumes of data are needed. However, there are other issues besides the sheer amount of data. Artificial intelligence requires an unprecedented volume of consent-acquired bulk data that can be publicly sourced, tracked, and aggregated from a human workforce. These characteristics are notoriously lacking from many traditional data gathering approaches.

Furthermore, it might be difficult and time-consuming to onboard users to contribute data, which discourages broad involvement.

Blockchain makes data easier for artificial intelligence.

An alternative to this top-down method of data collection is provided by blockchain technology. Web3-powered technologies such as non-fungible tokens (NFTs) can empower users with total control over the data collection process and reward them for it by granting them data ownership.

Blockchain technology guarantees data provenance and integrity as well. For AI algorithms to generate dependable findings, high-quality data is necessary. Because blockchain technology is transparent and traceable, it is possible to verify the origins of data, guaranteeing the accuracy and reliability of the data used to train AI models. Because it offers a transparent record of data transactions and changes, this traceability also helps with auditing and compliance.

Blockchain gaming meets artificial intelligence

Gaming is one sector of the economy where AI is still relatively new. It is predicted to bring in close to $350 million by 2022. Artificial intelligence (AI) has enormous promise for the gaming industry, ranging from better game development to sophisticated analytics and player insights.

A more interesting and customized gaming experience would change the way that people interact with games. AI has the potential to greatly improve security and guarantee fair play in online gaming communities.

The team at Itheum, a decentralized data ownership platform renowned for its Data NFT technology, has realigned to concentrate on the gaming AI sector as "Data for the AI Era" because of this.