Babe, AI technology is becoming more and more popular now, but many general AI models are actually not sufficient in specific industries.

For example, AI in the financial sector needs to rely on targeted information such as trading data and credit records within the industry for risk assessment.

In fact, to put it simply, if AI wants to perform well in various professional fields, specialized data is the key that cannot be ignored.

• It can make AI models more accurate, unlike general models that know a little about everything but are not precise.

• Allows the model's conclusions to be better understood and run more cost-effectively.

• Can encourage more people to contribute data, forming a good cycle.

It is precisely because professional data is so critical that the @OpenledgerHQ project has emerged to specifically help make good use of this data.

The data network in the project is decentralized, with no single central control.

It gathers professional data from various places, checks the quality before distributing it, and clearly identifies who owns the data and where it goes, so there is no need to worry about it being lost or altered, allowing the data to be used safely.

■ There is also a mechanism for proof of attribution, which is encrypted.

• It can record who contributed the data and correspond it with the output of the AI model, and it cannot be changed.

• People who contribute data in this way can receive rewards and are more willing to provide good data.

• The results provided by AI can also be traced back to their sources, making them more trustworthy.

In general, OpenLedger leverages data networks and attribution proofs to realize the value of specialized data, helping AI models become more professional and establishing a trustworthy, effective, and sustainable AI data environment.
#OpenLedger KaitoAI