Infrastructure security and transparent data processing policies are essential for brands wanting to increase consumer trust. These two requirements also influence the development and commercial deployment of Artificial intelligence (AI) models. However, AI makes mistakes if the data model is biased, incomplete, or centralized. And one error by an AI network has already caused a company's share to fall in value. Thankfully, decentralized networks will prevent such mishaps. This post discusses the importance of data modeling, AI decentralization, and data integrity.