Qlik and a guest speaker from IDC on why agentic AI stalls without trust, context, and openness
Everyone is racing to deploy AI agents. Few ask if their data can be trusted to power them.
IDC research shows nearly 90% of respondents have increased their focus on data and analytics because of GenAI and agentic AI. Yet one in three organizations remain concerned about the accuracy of the outcomes.
An agent can flag a 12% revenue decline and be statistically right. If it doesn’t know that each business unit calculates revenue differently, it can still mislead. Join guest speaker IDC Research VP Megha Kumar and Qlik’s Josh Good as they explore findings from IDC’s latest research, The Agentic Evolution of Data and Analytics. You’ll leave with a practical framework for connecting trusted data, analytical reasoning, and action.
What you'll learn
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Why trust and context are non-negotiable
Agents need semantic layers, governed data, and auditability — or you automate confident mistakes at scale.
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The new role of analytics
Analytics becomes the active reasoning layer in agent workflows, preserving context.
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How the work changes for every team
Engineers move to orchestration; business users get answers in the flow of work.
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How to scale without ripping and replacing
Build on existing investments with trusted data, contextual AI, and open standards like MCP.
