Agentic AI and the Next Era of Data Management

AI is moving beyond simple automation and prediction toward systems that can reason, plan, and take action autonomously. Today, 39% of organizations are already experimenting with AI agents, signaling rapid momentum in this space.

As AI becomes more agent-driven, data management must evolve just as quickly. AI agents need real-time data, trusted context, strong governance, and reliable orchestration to operate responsibly.

Traditional data architectures weren’t built for autonomous systems that make decisions and take action. Data platforms must now deliver the speed, intelligence, and control required to support agentic workflows at scale.

To explore how agentic AI is shaping the next era of data management, DBTA is bringing together industry experts for a special roundtable webinar.

Join this interactive discussion to learn how enterprises are:

• Preparing data platforms for AI agents
• Delivering real-time, trusted data and context
• Managing governance, security, and accountability
• Orchestrating data, models, and AI workflows at scale