Role of Graphs in the AI Space
A Talk by Tony Seale , Peter Crocker , Anthony Alcaraz and Leah Miller
About this Talk
Join this panel of all-star graph and AI professionals in a discussion around AI, graph, how they play well, what to avoid, and everything in between.
Key Topics
- Why is there so much conversation around AI and graphs?
- How do we know graphs improve AI, who is measuring this, and how?
- Where does Graph RAG fit in?
- Pitfalls to watch out for
- Advice on getting started in either graph or AI
Target Audience
- Chief Data Officers
- Data Scientists
- Data Modelers
- Technical Managers
Goals
- Explore the interplay between machine learning and knowledge based technologies
- Answer questions that matter
- Why is there so much conversation around AI and graphs?
- How do we know graphs improve AI, who is measuring this, and how?
- Where does graphRAG fit in?
- Pitfalls to watch out for
- Advice on getting started in either graph or AI
- Why should I get into this space?
- Lessons learned from the panel
Session outline:
- Intro by Ashleigh Faith
- Everyone introduces themselves
- Starting questions:
- Why is there so much conversation around AI and graphs?
- How do we know graphs improve AI, who is measuring this, and how?
- Where does Graph RAG fit in?
- Pitfalls to watch out for
- Advice on getting started in either graph or AI
- Closing remarks
Format
- Expert discussion, coordinated by moderator
Level
- Intermediate
Prerequisite Knowledge
- Basic understanding of Knowledge Graphs & Databases will be helpful