In a recent panel discussion recorded live at Qlik Connect, experts emphasized that as artificial intelligence expands access to information, organizations must enforce robust data governance to ensure reliability. Host Stephen Foskett, President of Tech Field Day at Futurum Group, was joined by Frederic Van Haren, CTO and Founder of HighFens, and Sidney Drill, Qlik Global Solutions Director for Data, Analytics, and AI. The conversation centered on the growing tension between AI-driven data accessibility and the risk of introducing inaccurate or harmful data into enterprise systems.
The panel highlighted that while AI tools make it easier than ever to retrieve and analyze data, the quality and provenance of that data are paramount—especially in highly regulated sectors like healthcare, government, and pharmaceuticals. Without proper governance, AI can amplify the impact of poor data, leading to flawed decisions and compliance risks. The experts argued that effective governance is not an impediment to innovation but a prerequisite for scaling AI safely and ethically.
Key takeaways include the need to control which users and AI agents have access to specific datasets, and the importance of establishing clear policies before deploying AI at scale. The panel concluded that prioritizing data quality and governance is essential to make AI not just powerful, but trustworthy and beneficial for enterprises.