In today’s fast-paced business environment, data-driven decision-making is no longer a luxury—it’s a necessity. However, businesses often face a critical challenge: how can a third party prove the value of their proprietary data and models without exposing sensitive information? This article explores a robust methodology that balances data privacy with transparency, enabling businesses to gain valuable insights while maintaining trust and confidence.

The scenario described and discussed in Part1 of this article, where machine learning models are used to predict the success of a harvest in vertical farming based on various environmental and plant-related data, falls under the broader umbrella of Artificial Intelligence (AI).

Our dedication lies in harnessing the possibilities offered by web3 and blockchain technologies within industries on the brink of transformation in this rapidly evolving Digital Age. Currently, our primary emphasis is on forming partnerships with key stakeholders to conceptualize and implement an innovative vertical farming initiative in Southeast Asia.

Since the publication of the previous article, numerous developments have taken place. We have successfully achieved certification as blockchain developers for our Blockchain Project Leads. Additionally, we are delighted to share that we've introduced two new blockchain projects: "hashrepos," featuring an ERC-721 smart contract, and "room4all," incorporating various web3 functionalities.