his talk extends my NATO‑funded work on extracting defence strategies via AI‑mediated competitive reasoning to the domain of spintronics, demonstrating how multi‑agent debates can transform predictive analytics into actionable technological strategy. Building on graph neural network (GNN) forecasting of complex, interconnected spintronics drivers (spanning materials, device physics, manufacturing constraints, and market dynamics) we address the brittleness of purely data‑driven models under technological discontinuities and policy shocks. Persona‑engineered agents engage in structured, adversarial debates to challenge, contextualise, and recalibrate neural outputs, with epistemic scoring used to surface the most reliable strategic narratives. Explainable AI and value‑chain mapping then translate these narratives into concrete strategic levers for spintronics innovation and deployment. The result is a generalisable intelligence‑to‑action framework that moves beyond defence applications, enabling robust, decision‑ready strategy extraction for high‑uncertainty frontier technologies such as spintronics.
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​​More information :https://www.spintec.fr/seminar-from-predictive-analytics-to-actionable-strategy-extracting-spintronics-strategies-via-multi-agent-competitive-debates/​​
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