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Neo4j's Ajay Singh discusses future shifts in AI and why knowledge graphs may be the missing layer in your Gen AI strategy.
Topics Include:
- Ajay Singh from Neo4j discusses graph intelligence platform serving 80+ Fortune 100 companies.
- Financial services firms use Neo4j knowledge graphs to detect fraud rings and accounts.
- IT companies build digital twins of infrastructure to analyze attack surfaces and vulnerabilities.
- Knowledge graphs provide richer context for Gen AI agents beyond what vector search offers.
- Gaming company achieved 10x faster insights and 92% reduction in analyst data gathering.
- Transportation company improved tariff code workflow from 50% abandonment to 95% completion rate.
- Neo4j has partnered with AWS since 2013, running on AWS infrastructure and Marketplace.
- Customers combine Neo4j with AWS Bedrock and SageMaker to build agentic AI applications.
- Neo4j evolved from late-stage AWS collaboration to early-stage joint customer solution development approach.
- Success requires business-first mindset over technology-first to avoid POCs that never reach production.
- Effective Gen AI needs semantic layers and knowledge graphs, not just throwing documents at LLMs.
- Future agents will tackle outcome-based objectives requiring explainability, security, and proper LLM operations.
Participants:
- Ajay Singh – Global Vice President, Neo4j
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