Session: Accelerating Enterprise GenAI Adoption Through Open Collaboration
Generative AI development continues to accelerate at an unprecedented pace. While this rapid innovation produces exciting technological advancements, it also creates challenges for enterprise adoption due to fragmentation of tools and approaches. Now is the critical moment to establish standardized frameworks, best practices, and collaborative initiatives to make enterprise AI implementation more accessible and effective.
This session examines common challenges organizations face when building LLM-based applications, particularly those leveraging Retrieval Augmented Generation (RAG), and presents open-source solutions that address these pain points. We will share reference architectures and implementation patterns that help developers create performant AI applications that meet both technical requirements and business objectives.
We’ll highlight how the Linux Foundation’s Open Platform for Enterprise AI (OPEA) project is fostering industry collaboration to standardize components, including frameworks, architecture blueprints, and reference implementations. OPEA’s comprehensive assessment framework helps organizations evaluate GenAI systems across key dimensions of performance, features, security, trustworthiness, and enterprise readiness.
Join us to explore how open collaboration is creating a more structured, interoperable ecosystem for generative AI, helping organizations move confidently from proof-of-concept to production with open, standardized, and validated approaches to generative AI implementation.
This session will be recorded
