From Connected Vehicles to Intelligent Agents: How DDS-Pulsar Bridges Enable Agentic Fleet Intelligence
Your vehicles generate 10-25 GB of data per hour. But data without intelligence is just noise. What if that data could flow seamlessly from real-time edge systems into agentic AI agents that actually understand vehicle context, predict failures, optimize operations—and answer your questions accurately without hallucinating?
Join Daniel Davis (TrustGraph) and David Kjerrumgaard (StreamNative) to discover how forward-thinking automotive companies are building connected intelligent fleets by combining:
Real-time edge control (DDS for microsecond-critical safety systems)
Cloud-scale data infrastructure (Pulsar for infinite telematics scale)
Agentic AI reasoning (TrustGraph for grounded, contextual fleet intelligence)
What You'll Learn:
Why traditional telematics are dumb (just collecting data) and how agentic AI transforms them into intelligent systems that act proactively
The architecture of connected vehicle systems: from DDS at the edge → Pulsar cloud ingestion → TrustGraph knowledge graphs → autonomous agents for fleet optimization
How agentic AI built on knowledge graphs avoids hallucinations and provides grounded, verifiable answers to complex fleet questions
Real deployment scenarios:
"Which 500 vehicles need maintenance in the next 30 days?" (Predictive agent)
"Optimize routing for 2,000 delivery vehicles given traffic + fuel costs" (Optimization agent)
"Detect anomalies across fleet and recommend preventive actions" (Monitoring agent)
"Negotiate optimal service times across regional repair centers" (Negotiation agent)
Technical deep dive: DDS-to-Pulsar bridge architecture with AUTOSAR integration, QoS semantic translation, and high-throughput sensor data handling
How TrustGraph's agentic platform constructs knowledge graphs from vehicle telematics for reduced hallucinations and higher accuracy
Live demonstration: Raw vehicle data → bridge aggregation → Pulsar streaming → TrustGraph knowledge graph construction → autonomous agents answering business questions
Strategic options: Build vs. buy vs. open source—choosing the path that accelerates your agentic vehicle roadmap
The Core Insight:
Connected vehicles + cloud infrastructure + agentic AI = competitive advantage. Companies that orchestrate these three components will dominate autonomous fleet management, predictive maintenance, and connected vehicle markets.
Perfect For:
Automotive OEMs and Tier-1 suppliers building autonomous vehicle fleets
Fleet operators (50,000+ vehicle operations) seeking competitive differentiation
Connected vehicle product teams exploring AI-powered features
Technology leaders evaluating agentic AI platforms for enterprise use cases
Decision-makers comparing traditional telematics vs. intelligent fleet systems
This webinar bridges the gap between data infrastructure and agentic intelligence—showing how to transform raw vehicle data into autonomous decision-making systems.
Register now to learn how leading companies are building the intelligent vehicle fleets of tomorrow.