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As AI systems and processes diffuse into our organizations at breakneck speed, our data infrastructure must evolve quickly to service new audit requirements at scales never seen before.
In this talk we will examine the challenges of capturing and integrating context across workflow systems and brownfield applications to deliver accurate and reliable AI governance.
For example, Fluxnova is an archetypal 'upstream' workflow application that organizations must be able to audit independently of the execution layer. We will look at how to integrate AI into such an architecture whilst being able to prove effectiveness, reliability and counterfactual analysis without a proliferation of data audit silos.
