Kiran Kalyanaraman is a Senior Product IT professional with more than 15 years of enterprise technology leadership across the carbon-free energy, healthcare, and enterprise software sectors. His work spans CRM platforms, cloud infrastructure, grid operations systems and AI-powered automation, with a focus on responsible AI governance in energy applications. Kiran has authored peer-reviewed publications and practitioner articles on AI, machine learning, smart grid systems, and energy transition, and serves as a peer reviewer and judge for several international academic journals, conferences, and technology award programs. He is a Senior Member of IEEE . 

Scaling Responsible AI: Product Governance as the Missing Layer in Cloud-Native Energy Systems

As energy organizations accelerate adoption of AI and cloud-native architectures, the gap between technical capability and responsible deployment continues to widen. This presentation examines product governance as a critical, often-overlooked layer for scaling AI responsibly within cloud-native energy systems. Drawing on practitioner experience in enterprise product leadership, the talk explores how governance frameworks, risk management practices, and cross-functional accountability structures can be embedded directly into product development life cycles rather than treated as compliance afterthoughts. Key themes include AI governance models for mission-critical infrastructure, cloud architecture considerations for auditability and resilience, and practical strategies for aligning product, engineering, and risk teams. The session offers actionable frameworks for technology leaders seeking to scale AI initiatives in the energy sector without compromising safety, transparency, or trust.