How AI converges with Web3: Interview with Footprint Analytics CEO

Web3 is ushering in the next era of the Internet. However, challenges such as fragmented and non-standardized on-chain data remain. That’s why Footprint Analytics has launched a comprehensive data solution that leverages AI technology to automate blockchain data collection, cleansing, and correlation.

This initiative aims to establish cross-chain data standards, making it easier for developers and analysts to access and analyze.

Navy Tse, founder and CEO of Footprint Analytics told us:

“We aim to become the ‘Google Analytics’ of Web3, providing advanced growth analysis and operational analysis tools to help Web3 projects achieve their goals using our dataset of over 20 public chains and structured data. At the same time, we’re delving into the convergence of AI and data, such as acquiring data analysis panels through AI, to further enhance the productivity of the blockchain industry.”

Navy believes that the convergence of AI and blockchain will catalyze the mass adoption of Web3. On the one hand, high-quality data forms the basis for training AI models; conversely, AI can help generate high-quality data:

“Data is the vital essence of the industry. We are striving to build a symbiotic ecosystem where AI and blockchain reinforce each other, thereby driving the progress of the entire Web3 sector.”

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