Alexandra Jonker

% of readers think this story is Fact. Add your two cents. An excerpt from, “China drafts $295 billion plan to build national AI data center grid running on 80% homemade silicon — projected 2028 timeline could run into limits of local chip production” By Luke James, tom’s Hardware, June 10, 2026: An excerpt from, “How China is powering new data centers with clean energy” By Adele Peters, Fast Company, July 24, 2026: Data centers are a key part of China’s broader plan.

AI agents are all around us. These systems autonomously perform tasks with limited human intervention, often in ways we barely notice. Consider autonomous vehicles: they sense their surroundings, evaluate context and make split-second decisions in real time. They navigate not because someone hard-coded every possible scenario, but because they continuously interpret signals and adapt as the environment changes. Now imagine bringing that same level of intelligence to an enterprise data program.

Data sits at the heart of modern enterprise. It shapes business strategies, informs decision-making and underpins everything from pricing models to automation. As organizations rely more heavily on big data and real-time analytics to fuel their artificial intelligence (AI) initiatives, the impact of poor data quality has become impossible to ignore.