Moving forward to the present day, we can see AI implementations pretty much everywhere around us, as more sectors are increasingly driven to automate tasks with smart algorithms. Some examples include Amazon's personalized user recommendations based on previous purchases or activity; Facebook and Google's targeted ads, Uber's AI model to determine arrival times, pick-up locations, and fare prices, and PayPal's machine learning algorithms to detect and combat fraud. According to the technology-research firm Tractica, which has identified over 150 specific AI use cases across 29 industries, the global market for AI software and services will reach $60,000,000,000 by 2025.
AI relies on large datasets to train and improve algorithms, and data seems to be the intersection between blockchain and AI. Data is a key resource that enables AI development...