PANEL DISCUSSION: BUILDING TRUSTED & SCALABLE ENTERPRISE KNOWLEDGE SYSTEMS WITH GENERATIVE AI

Enterprises are reimagining how knowledge is created, accessed, and shared - and Generative AI is becoming the new catalyst. Beyond chat bots and co-pilots, forward-thinking organizations are embedding large language models into their knowledge ecosystems to surface insights, accelerate onboarding, and connect institutional intelligence across silos.

For leaders, this innovation brings both promise and complexity. How do you build scalable knowledge architectures that combine structured and unstructured data sources? How do you ensure model accuracy, privacy, and compliance while maintaining contextual relevance? And how do you measure the productivity and decision-making gains that justify enterprise-wide investment?

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

• Architecting enterprise knowledge systems that integrate LLMs with existing data and content management platforms
• Ensuring accuracy, governance, and ethical guardrails in GenAI-generated insights
• Measuring the impact of GenAI on knowledge accessibility, productivity, and decision velocity
• Building feedback loops that continuously refine and contextualize enterprise knowledge sharing

Claire Grosjean, Senior Director, Business Process Management, TECHNOLOGY CREDIT UNION

Velan Thayumanavan, Principal Solution Architect, AT&T

Nikhil Kassetty, Software Engineer, AI & Technology, INTUIT

Aarohi Tripathi, Senior Data Engineer, MAJOR HEALTHCARE COMPANY

Moderator/Speaker: Uma Sankar Kopalle, FinTech Advisor, Innovator & Artificial Intelligence Evangelist