Why Decentralized Artificial Intelligence Will Reinvent The Industry As We Know It
Until recently, the contemporary AI industry had been built around a centralized distribution paradigm where machine learning solutions are delivered as a part of cloud-based APIs and software packages deployed on remote servers of AI providers. Now, we are moving toward the next frontier -- decentralized AI that can run and train on local devices or make decisions in decentralized networks like blockchain.
The transition to decentralized AI is enabled by new technologies, such as Google’s Federated Learning, that allow for crowd-training of ML algorithms, device-centric AI that runs and trains ML models on mobile devices and the use of AI in DAOs (decentralized autonomous organizations) on blockchain networks. As a venture studio partner specialized in artificial intelligence, entrepreneurs frequently ask me about the future of the industry and what will truly disrupt this space. In this article, I will discuss how decentralized AI works, what potential it has and, more importantly, what benefits can business owners and users extract from it.
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