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Written by Tim Carswell
The integration of artificial intelligence (AI) and blockchains harnesses the unique qualities of both technologies to create a dynamic environment where intelligent algorithms and decentralised ledgers blend together to enable the development of innovative solutions for use cases across industry sectors. There are already examples, expanded on below, of AI and blockchain integration being used in healthcare, supply chain management, financial services, education, IoT device security, energy grid management and agriculture. AI brings its predictive power and learning capabilities while blockchains contributes its immutable ledger and a transparent, secure decentralised framework. Their convergence into a decentralised AI model generates significant synergies and advantages, leveraging the strengths of both technologies whilst mitigating some of their respective weaknesses, for instance, the centralised nature of current AI systems and the inability of blockchain based systems to predict events or take autonomous decisions. The result of the AI and blockchain fusion is systems that are not only more intelligent but also more transparent, secure, scalable, flexible and operationally efficient.
The majority of AI models currently rely upon a centralised model for training, where an integrated set of servers store data and execute specific AI models using training and validation datasets to make informed decisions. This centralisation makes the data vulnerable to…
