What’s Needed for Enterprise Agentic AI to Succeed in Production?

As organizations transition from AI experimentation to practical deployment, the focus is on developing Agentic AI systems that can autonomously reason, plan, and execute complex workflows across business landscapes. Achieving success with Agentic AI in production hinges on having robust data foundations and context layers to ensure accuracy, consistency, and auditability. This requires access to both structured and unstructured data across cloud and on-premises environments, supported by a federated architecture. Starburst's approach facilitates this accessibility, enabling enterprises to derive reliable insights. The AI & Datanova 2026 event will explore the integration of AI into enterprise operations, emphasizing the importance of data products and governance structures, particularly in regulated industries, to ensure compliance and effective AI deployment.