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Experimenting with AI is easy. Deploying it reliably, securely, and at scale in a regulated industry is a different challenge entirely. This video breaks down the three architectural pillars — Context, Memory, and Governance — that turn a generic LLM into a trusted enterprise differentiator in financial services. From document intelligence and fraud detection to Know-Your-Agent frameworks, see what production-grade AI actually looks like in finance.
#MongoDB #EnterpriseAI #FinancialServices #AIGovernance #MongoDBAtlas #GenAI #AML #FinTech #AgenticAI #KnowYourAgent
Chapters:
00:00:00 - Introduction to Enterprise GenAI Challenge
00:00:32 - Pillar 1: Context & Unstructured Data
00:01:38 - Pillar 2: Memory & MongoDB Atlas Vector Search
00:02:25 - Pillar 3: Governance & Regulatory Compliance
00:03:30 - Real-World Applications: Document Intelligence
00:04:53 - Mitigating Financial Crime with Vector Search
00:05:31 - Summary & The Future of Financial AI Strategy
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