Agentic AI represents a fundamental shift in how organizations use artificial intelligence. It moves beyond analysis to enable systems that can reason, act, and continuously adapt. In 2026, AI agents are becoming active participants in business operations, driving decisions, automating processes, and coordinating actions across complex environments. This evolution places unprecedented demands on data, requiring it to be real-time, trusted, contextual, and always available. Without a strong foundation, even the most advanced AI initiatives struggle to move from experimentation to meaningful impact.
Building autonomous data foundations is the key to unlocking the full potential of agentic AI. It requires unified access to structured and unstructured data, strong governance and security, semantic understanding, and architectures designed for speed and resilience. This Super Guide explores the strategies, technologies, and best practices organizations are using to create intelligent data environments that empower AI agents to operate with confidence, accuracy, and scale in 2026 and beyond.