Enterprise data efforts have shifted from choosing a single warehouse, lakehouse, or cloud platform toward designing a broader ecosystem spanning data, applications, workflows, and governance. AI agents are increasingly acting on enterprise data by recommending actions, triggering workflows, engaging customers, and influencing decisions at speeds that make manual review insufficient. This increases the importance of data management because clean, governed, trusted data determines whether AI can operate within the business without adding more risk than value. Informatica World 2026 is framed around demonstrating how governed data, master data, activation, agent decisioning, and workflow execution work together in real environments, rather than focusing only on new features or integration.
"For years, enterprise data conversations centered on platforms. Which warehouse? Which lakehouse? Which cloud? In my recent Forbes pieces, " Beyond The Enterprise Data Platform: Why Ecosystems Win" and " How ERP Data Fits Into The Enterprise Data Ecosystem," I argued that the more important question is no longer which platform wins. It is how the enterprise designs the ecosystem around data, applications, workflows, and governance."
"That question is becoming more urgent because AI agents are starting to act on enterprise data, not just analyze it. They are recommending actions, triggering workflows, engaging customers, and influencing decisions at a speed where manual review cannot be the only control. That changes the role of data management. Clean, governed, and trusted data is no longer a back-office requirement. It determines whether artificial intelligence can operate within the business without creating more risk than value."
"That is the lens for Informatica World 2026. The event should not just be about new data management features. The test is whether Informatica can show how governed data, master data, activation, agent decisioning, and workflow execution come together in real enterprise environments. The bigger story is not another integration. It is whether Informatica and Salesforce can help enterprises close the gap between trusted data and decisions the business can act on."
"Data platforms are moving closer to decisions. The progression is coming into focus. Data platforms started as repositories. Then they became analytics environments. Then they became ecosystems. Now they are moving closer to the place where decisions are formed and pushed into execution. That changes the job. A platform sitting in the decision flow has to behave differently from one built mainly for reporting"
#enterprise-data-ecosystems #ai-agents-and-decisioning #data-governance-and-trust #master-data-management #workflow-execution
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