Why Web3 Needs AI: The Role of Machine Learning in Blockchain
Web3 is bringing in a whole new dimension to the internet in terms of decentralizing it, making it more secure, and improving transparency. Using Web3 services means that intermediaries have been eliminated from the process, so users retain the complete ownership of their digital property and assets without third parties. Nevertheless, despite all the merits, Web3 is still challenged, especially in scalability, security, and usability. And this is where the place of Artificial Intelligence (AI) along with Machine Learning (ML) comes to play. Moreover, they take decentralized applications (dApps) by realizing automation, intelligence, and adaptability within blockchain technology. Choosing the right title for a dissertation: Improvement in the decision-making process, Fraud detection, and operations optimization are all primarily concerned with real-time analysis of overgrowing datasets. Making use of AI, a smart contract will become more secured, faster transactions, and a more personalized user experience. Any company interested in Web3 development services could implement AI-powered solutions into its processes to develop advanced, intelligent, and efficient decentralized platforms suitable for any future needs of customers. Merging both the predictive and analytical capabilities of AI with the working power of Blockchain is marching Web3 towards a smarter, more autonomous digital environment.
