Anitha Latha Kpau

Anitha Latha Kpau

Director of Quality Amazon

"Anitha Kapu is a manufacturing leader with over 17 years of cross-industry experience spanning aerospace, automotive, autonomous systems, advanced energy systems, AI infrastructure in a high-volume manufacturing operations. Her career includes leadership contributions across globally recognized organizations (Amazon, SpaceX, Tesla, Walmart Robotics, Motorola) and mission-critical engineering programs involving reusable space systems, autonomous mobility technologies, advanced battery ecosystems, and next-generation industrial infrastructure. Throughout her career, Anitha has led complex initiatives in manufacturing scale-up, operational excellence, quality & reliability engineering across the United States, Europe, and Asia. Her work has focused on building scalable quality systems and resilient manufacturing ecosystems capable of supporting highly complex, safety-critical, and rapidly evolving technologies. Anitha is deeply passionate about the future of intelligent manufacturing and the convergence of AI, automation, robotics, humanoid systems, and data-driven quality engineering. She actively advocates for the transformation of manufacturing from reactive operations toward predictive, connected, and trust-driven industrial ecosystems powered by advanced automation and human-machine collaboration. Beyond industry leadership, Anitha is an active speaker, panelist, international technical standards contributor, and mentor where she contributes to conversations around AI-enabled manufacturing, quality governance, operational resilience, and the future workforce transformation in advanced industries."

CWM Summit Day One

10:40 AM Case Study: Scaling AI Driven Maintenance Across Amazon’s Drone Fleet

Amazon Prime Air is building one of the world's most advanced autonomous delivery networks, where reliability and safety depend on a highly distributed drone fleet. This session explores how predictive maintenance is embedded across the ecosystem, from onboard diagnostics to fleet level analytics, to reduce downtime, extend asset life, and keep every aircraft mission ready.

• Increase fleet readiness by predicting component failures before they ground an aircraft, improving availability and delivery continuity.
• Reduce maintenance cycle time through real time diagnostics and automated fault detection, enabling technicians to act faster with higher accuracy.
• Extend drone lifespan and battery performance using AI driven degradation models, optimizing replacement schedules and reducing total cost of operations.
• Strengthen safety and compliance with continuous health monitoring, ensuring every flight meets Amazon's stringent reliability and FAA requirements.
• Accelerate technician productivity with connected workflows, giving frontline teams immediate access to diagnostics, repair guidance, and historical data.

Check out the incredible speaker line-up to see who will be joining Anitha Latha.

Download The Latest Agenda