Why a strong data foundation is key to scaling AI

I recently attended Snowflake World Tour Australia and had the opportunity to sit down with ComputerWeekly.com to dig into why a strong data foundation is the essential first step in scaling AI initiatives. Our conversation reinforced a core principle of Snowflake’s AI vision: there is no AI strategy without a data strategy. Many organizations rush to build AI, only to find that their efforts are undermined by siloed, inconsistent, and inaccurate data. This leads to what I call “chaos at scale,” where AI agents produce conflicting results that erode user trust. Our vision at Snowflake is to help companies get their data AI-ready by: - Removing data silos to create a single source of truth and ensure everyone is speaking the same data language - Prioritizing governance and accuracy from the start, because an AI model that is only 80% accurate is a tool no one will use - Enabling trusted innovation by building a high-quality data foundation that supports and strengthens your AI initiatives, rather than working against them By focusing on quality and trust, we can ensure that every AI solution built on Snowflake delivers real business value - turning data into a competitive advantage. You can read more about our conversation below. https://lnkd.in/gA_XVEia