🎥 Recorded live at the MLOps World | GenAI Summit 2025 — Austin, TX (October 9, 2025) Session Title: Explainable AI at Fujitsu North America Inc. Speaker: Dippu Kumar Singh, Leader for Emerging Data & Analytics, Fujitsu North America Inc. Abstract: As organizations face growing challenges around risk, fraud, and accountability, explainable AI (XAI) is emerging as a critical safeguard for transparency and trust. In this lightning talk, Dippu Kumar Singh from Fujitsu North America Inc. explores how explainable AI is being applied to detect and evaluate suspicious behaviors — from procurement and ESG fraud to financial misconduct — while ensuring decisions remain fair, auditable, and compliant with evolving regulations. Dippu highlights Fujitsu’s approach to integrating explainability into AI engineering, the balance between performance and transparency, and how XAI frameworks empower enterprises to act confidently in high-stakes environments. What you’ll learn: • How organizations can leverage XAI to investigate suspicious activity and determine legitimacy at scale • Why explainability is essential for managing performance, bias, and compliance in risk-sensitive domains • The engineering and governance foundations required for effective XAI adoption • How evolving regulations are shaping the future of AI accountability • Practical recommendations for implementing explainable AI in production systems.