As AI becomes more embedded in intelligence workflows, many practitioners still struggle to trust or fully understand how it works. This webinar breaks down what transparency in AI actually looks like—and why it’s critical for credibility, workflow alignment, and operational relevance. Through candid conversation and platform-based visuals, you’ll see how concepts like vector similarity and retrieval-augmented generation (RAG) can bring context and clarity to the surface, while keeping the analyst in control.
Kevin Uniacke
Director of Intelligence Programs, Seerist
Noah Alexandroff
Machine Learning Engineer, Seerist
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