Architecting for Truth, Efficiency & Sustainability in the Agentic Era – DevAI Triple-T
As enterprises pivot toward autonomous orchestration, a context gap has emerged. When AI agents rely on Source of Truth systems that are only 60-80% accurate, they can amplify operational errors at machine speed, leading to system failures and operational drift.
This session provides insights into how companies are leveraging Agentic AI frameworks to ensure next-gen automation and AI projects are fueled by quality data needed for success. We will focus on:
- Data Readiness by implementing a reconciliation agent to resolve data conflicts
- Operational Efficiency by reclaiming the 80% of expert time lost to manual tasks
- Sustainability by identifying and validating potential “Zombie Resources”
Learn to leverage an AI Intelligence Engine that transforms fragmented data into a trusted foundation for the AI-native enterprise.
Eric is the Founding Community and Customer Success Lead at DevAI. Prior to joining DevAI, he was a Sr Director of Developer Relations at Analog Devices, and Director of DevX at Cisco. 2xCCIE. Expertise in networking, security, community, and customer success.
