In past episodes of our Neterium Talks, we explored AI in screening (Episode 11) and operationalising AI.
In this forward-looking episode, we examine what’s next: explainable AI, low-code orchestration, and fully autonomous screening workflows.
We’ll recap the evolution of screening technology, from rule-based systems to machine learning to real-time APIs, and dive into the possibilities of explainable AI, including dynamic rule creation, anomaly explanation, and synthetic data for model training. Finally, we’ll explore how automation and orchestration can enable end-to-end compliance in screening processes.
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