Developing AI proofs of concept (PoCs) in regulated industries like banking often stalls due to compliance hurdles rather than technical limitations. The core issue is that PoCs typically use external, frontier model APIs without establishing clear data governance boundaries. This leads to lengthy reviews concerning data classification, inference location, audit trails, and vendor accountability, especially under regulations like the EU AI Act. To successfully deploy AI, organizations must proactively define data classification rules and establish a secure internal gateway for regulated data before committing to an architecture, ensuring compliance is addressed upfront. AI
IMPACT Sets best practices for AI deployment in regulated industries, emphasizing proactive compliance over reactive patching.
RANK_REASON Article discusses best practices for AI deployment in regulated industries, focusing on policy and compliance rather than a specific event.
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