Moving from Analytics to Autonomous Outcomes
Matthew David Associate Partner, Consult Partner, Kyndryl
In an engaging and candid session, Matthew David of Kyndryl highlighted a challenge many organisations quietly face: the widening gap between prediction and action. As he noted, businesses are generating more analytics than ever, yet still struggle to turn risk alerts into meaningful operational responses — a gap where much of the promised ROI from AI is lost.
David introduced a clear and practical framework built around Predict, Explain, Act, demonstrating how machine-learning models, GenAI interpretation and autonomous agents can work together to streamline decision-making. Instead of overwhelming teams with high-risk signals, the system identifies the issue, explains the root cause and automatically initiates the right operational steps.
By shifting from reactive workflows to intelligent automation, he argued, organisations can collapse hours of manual effort into seconds. The result is a more responsive, resilient and efficient operating environment — one where AI not only anticipates problems but confidently closes the loop between insight and action.