AI Learns Best from User Feedback: Why Real-Time Interaction Matters

In a recent discussion at Qlik Connect, experts highlighted the critical role of user feedback in refining AI systems. Tools like Qlik Answers allow users to rate outputs as good or bad, creating a continuous learning loop that improves AI performance over time. Frederic Van Haren, CTO and Founder of HighFens, and Sidney Drill, Qlik Global Solutions Director for Data, Analytics, and AI, joined host Stephen Foskett to explore how real-world interactions help AI adapt and evolve. They also addressed the challenges of scaling feedback mechanisms and emphasized that the future of AI depends on systems that learn from user behavior and real-world data.