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AI and Knowledge: The Key to Enterprise Adoption
Tue, 22 April
In enterprise AI adoption, knowledge is the cornerstone of success. This session presents an architectural overview of OSS AI, illustrating how business knowledge flows through Generative AI (GenAI) applications to automate business processes and enhance customer interactions.
Key Discussion Points
- The Role of Knowledge in AI: Understanding how domain-specific business knowledge empowers GenAI to drive automation and decision-making.
- Structured Input & Semantic Data Pipelines: How structured data ingestion and semantic processing ensure AI models interpret business information correctly.
- Structured Output with Result Grammars: Enforcing domain-specific constraints to generate accurate, context-aware responses aligned with enterprise needs.
- The OSS AI Knowledge Stack (OAKS): Learn about OAKS, an open-source AI knowledge framework developed collaboratively in LFAI, and how it serves as a blueprint for enterprise AI adoption.
This session provides a comprehensive view of AI-driven knowledge management, helping enterprises turn AI into a strategic asset by making structured, actionable knowledge the backbone of intelligent automation.
Target Audience
This session is designed for Enterprise Architects, AI Engineers, and AI Product Leaders interested in structured AI knowledge management, semantic data pipelines, and OSS AI frameworks. It is also valuable for CTOs and Innovation Leaders looking to leverage AI for business automation and drive enterprise AI adoption.
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About the speaker
Alexy Khrabrov
AI Community Architect, Neo4j
Alexy is the AI Community Architect at Neo4j, the category-defining Graph database company. Alexy is a member of the Governing Board of the LFAI at Linux Foundation, the founding Chair of Open-Source Science at NumFOCUS, and a cofounder of the AI Alliance. Before being elected to the Board, Alexy was the founding Chair of the Generative AI Commons at LFAI. Previously, Alexy was the Director of Open-Source Science at IBM Research, a Technical Ecosystem Development Lead at IBM Quantum, Chief Scientist at Nitro, an Australian public company, a software engineer at Amazon, and a co-founder and engineer at several Bay Area startups. Dr. Khrabrov is an experienced community steward, founder and organizer, having created and run multiple meetups and open-source conferences in San Francisco Bay Area and around the world. Dr. Khrabrov's work is focused in community stewardship building distributed systems for AI applications, functional programming, and OSS ecosystems. Alexy cofounded the IEEE Open-Source Science Symposium, Scale, Data, and AI By the Bay conferences, and the Bay Area AI meetup, the longest-running and deepest technical AI meetup in the world.
