PANEL DISCUSSION: GOVERNING GENERATIVE AI & LLMs - CONTROL, COMPLIANCE & ARCHITECTURE AT SCALE

As generative AI and large language models (LLMs) move from pilot to production, organizations face a new wave of governance challenges - ranging from data traceability and model oversight to regulatory risk, hallucination control, and responsible usage at scale. This event will explore how enterprises are redefining governance frameworks to keep pace with fast-evolving GenAI capabilities. From real-time monitoring and usage controls to architecture-level guardrails, the panel discussion will dive into the practical tools, policies, and leadership decisions required to balance innovation with accountability.

Topics of discussion will include, yet will not be limited to:

• Governance models for LLMs and generative AI in enterprise settings
• Strategies for monitoring output, managing risk, and ensuring compliance
• How to architect for transparency, control, and ethical deployment
• Real-world examples of policy design, auditability, and feedback loops

Ram Kumar Nimmakayala, AI & Data Strategist - Product Leader, AI, Machine Learning & Data, WESTERN GOVERNORS UNIVERSITY

Junaith Haja, Senior Data Engineer, AMAZON

Poornakala Sethuraman, Ph.D, Vice President, Data Science, BANK OF AMERICA

Hybrid Moderator/Speaker: Amresh Mathur, Senior Vice President, Digital Transformation, CITI

Members Only Event + Open to Members’ VIP Guests | Open to ALL IA FORUM Members

Member Registration: $0.00 | Members' VIP Guests' Registration: $25.00

* All members are HIGHLY ENCOURAGED to bring 1 - 2 NON-member internal/external colleagues or friends to attend this event, to be their VIP Guests.