Original essays and thought leadership on the technologies shaping our world. These articles draw on Erick Watson’s experience across data science, product strategy, and emerging technology to explore the ideas driving the next wave of innovation.
Topics range from debunking common myths about artificial intelligence and the practical applications of machine learning for extracting signal from noise, to the role of knowledge graphs in semantic search and data representation. Each piece aims to make complex technical subjects accessible, grounded in real-world use cases from enterprise analytics, predictive modeling, and beyond.
Whether you are a technologist, founder, or curious generalist, these essays offer frameworks for thinking about AI, data strategy, and the intersection of technology with business and society.