Tech Field Day Delegate Roundtable at Qlik Connect 2025

Qlik Connect 2025 Delegate Roundtable on Agentic AI

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The Tech Field Day Delegate Roundtable at Qlik Connect 2025 brought together key thought leaders to discuss the rapid evolution and practical implications of agentic AI in the enterprise data ecosystem. With agentic AI emerging as a prominent theme for this year, delegates evaluated its current state, its impact on organizations, and Qlik’s approach to integrating AI-centric workflows into their platform.

Throughout the roundtable, panelists acknowledged that while agentic AI—AI-driven workflows composed of autonomous or semi-autonomous agents—has gained significant marketing traction, its implementation in production environments remains aspirational for most enterprises. They praised Qlik for its data-first approach, recognizing the company’s efforts to merge structured and unstructured data as a foundational step toward enabling more intelligent AI-based decisions. However, skepticism remained about the readiness of many organizations to deploy such systems, given the ongoing challenges with data quality, observability, and trustworthiness in AI outputs. The importance of foundational data governance and automation was emphasized, with clarity needed between traditional scripting, automation, and true AI-enabled agentic systems.

Delegates discussed the philosophical and technical nuances of what qualifies as agentic, highlighting that many current use cases are partially agentic at best, often relying on conventional automation or rules-based logic augmented by AI components. They advocated for a pragmatic view: while agentic AI is real and being pursued, the industrial-scale implementation still hinges on getting core data practices right: cleaning and organizing legacy systems, ensuring output trust, and creating frameworks that allow controlled evolution of AI agents. The group agreed that Qlik is moving the ecosystem in the right direction but stressed that success will depend on keeping expectations grounded and distinguishing aspirational demos from deployable solutions.

Personnel: Stephen Foskett