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OneStream's Snowflake connector tackles finance's $2 trillion AI trust crisis. The modern finance department faces a stark reality: 47% of executives are making material business decisions based on inaccurate or outdated financial data. This isn't just a data quality problem - it's a $2 trillion trust crisis that threatens the entire foundation of AI-driven financial decision-making. OneStream's new Snowflake connector represents a direct assault on this crisis, but the solution illuminates a much deeper problem plaguing enterprise AI adoption. The trust problem that's killing AI adoption. MONT 3 is witnessing a phenomenon eerily similar to the early days of double-entry bookkeeping in 15th-century Venice. Just as Venetian merchants couldn't trust their financial records without systematic verification, today's CFOs can't trust AI insights without governed financial intelligence. The OneStream research revealing that 62% of organizations source AI data from multiple uncoordinated systems mirrors the chaotic record-keeping that nearly collapsed medieval trade networks. The problem isn't technological sophistication - it's foundational trust. AI models can process millions of data points per second, but if the underlying financial data lacks governance, context, and auditability, every output becomes suspect. This creates what researchers call the "garbage in, gospel out"...
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