Qlik Connect 2026 — Event Highlights

In this episode of Qlik Connect, we dive into the evolving landscape of AI in enterprise settings, with insights from key industry figures like James Fisher, Drew Clarke, Matthew Hayes, and Nick Magnuson. The discussions highlight a significant shift from blanket AI mandates to more thoughtful, data-driven approaches. Fisher emphasizes the need for trusted, governed data as a catalyst for organizational transformation, while Clarke underscores the common challenges faced by enterprises in executing AI initiatives successfully. Hayes addresses the urgency of data quality and governance, noting their role as foundational for AI readiness. Magnuson discusses how AI systems are evolving to make autonomous decisions, necessitating strong contextual understanding and governance frameworks.

Key Topics Covered:

• Trust and governed data as crucial for effective AI adoption.
• The "go slower to go faster" principle in establishing data foundations.
• Challenges enterprises face in scaling AI due to complex data environments.
• Importance of anchoring AI efforts to existing data gravity to ensure business value.
• Data quality as a competitive differentiator drawing board-level attention.
• Contextual understanding and explainability as essential for AI governance.
• Integration of AI into existing workflows for enhanced decision-making.
• Sports analytics case study demonstrating data-driven decision optimization.