As enterprises are eager to invest in AI and ML, CDAOs and heads of data management are being called on for help to rapidly scale generative AI prototypes into production. But what does that really mean? How should data and AI management evolve to support this requirement? This session explores key strategies for the new world. We'll delve into tackling operating models, deployment complexity and cost. We will cover techniques for optimizing performance, ensuring security, automation at scale and adhering to regulations – all crucial for real-world implementation.
Join us to discover how generative AI is maturing in 2024, with a focus on:
- Foundational and technical requirements
- Evolution in data and LLM operations
- Criticality of orchestration and flow-engineering techniques
- Best practices in responsible AI guardrail implementations
We will explore real-world examples and learnings, providing a practical perspective to these strategies.
Speakers:
- Raju Karuppiah, Director, Customer Enterprise Architect, Kyndryl
- Seth Rogers, Associate Director, Data Consulting, Kyndryl
- Moderator: Mike Meriton, Co-founder, EDM Council
