1 year ago
Web3 is ushering successful the adjacent epoch of the Internet. However, challenges specified arsenic fragmented and non-standardized on-chain information remain. That’s wherefore Footprint Analytics has launched a broad information solution that leverages AI technology to automate blockchain information collection, cleansing, and correlation.
This inaugural aims to found cross-chain information standards, making it easier for developers and analysts to entree and analyze.
Navy Tse, laminitis and CEO of Footprint Analytics told us:
“We purpose to go the ‘Google Analytics’ of Web3, providing precocious maturation investigation and operational investigation tools to assistance Web3 projects execute their goals utilizing our dataset of implicit 20 nationalist chains and structured data. At the aforesaid time, we’re delving into the convergence of AI and data, specified arsenic acquiring information investigation panels done AI, to further heighten the productivity of the blockchain industry.”
Navy believes that the convergence of AI and blockchain volition catalyze the wide adoption of Web3. On the 1 hand, high-quality information forms the ground for grooming AI models; conversely, AI tin assistance make high-quality data:
“Data is the captious essence of the industry. We are striving to physique a symbiotic ecosystem wherever AI and blockchain reenforce each other, thereby driving the advancement of the full Web3 sector.”
The station How AI converges with Web3: Interview with Footprint Analytics CEO appeared archetypal connected CryptoSlate.
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