Informatica User Group Dallas -Agent-Driven Autonomous Data Foundation
Autonomous Data Foundation Architecture: Reducing Stewardship Load with Agent-Driven Governance and Quality
Modern enterprise data platforms generate massive volumes of records, but the real bottleneck is operational overhead — manual remediation, lineage tracing, duplicate resolution, and policy enforcement. This in person session presents a technical deep dive into how an Intelligent Data Foundation layer built on governed data platforms (such as Informatica + Salesforce ) embeds autonomous agents directly into data pipelines to automate trust, quality, and compliance.
We’ll examine architecture patterns where detection agents prevent invalid updates before commit, lineage agents trace system-wide root causes in seconds, policy agents enforce governance rules at transaction time, and resolution agents recommend or execute fixes with confidence scoring. The discussion will show how these controls transform the foundation from a passive data layer into an active control plane that improves system reliability, accelerates downstream AI readiness, and drastically reduces manual stewardship workload.
A Bank could use intelligent agents in its data foundation to automatically stop incomplete KYC records or suspicious profile changes before they ever reach core systems — reducing investigations and audit risk.
A healthcare network could deploy automated identity matching and lineage tracking to keep patient records accurate in real time, improving care coordination and speeding up billing cycles.
Manufacturer could run supplier-governance agents that detect fraudulent banking updates, enforce compliance rules, and remove duplicate vendors across regions, helping teams onboard partners faster while lowering financial risk.
Why Join This Session?
Learn how intelligent agents can be embedded into a Salesforce Data Foundation–aligned architecture to prevent issues like invalid KYC records, duplicate identities, or fraudulent updates before they impact core systems
Understand practical reference architectures for automating data quality, governance, and lineage across Salesforce Data Cloud, integration layers, and enterprise platforms
See how trusted entity layers within a modern Data Foundation enable reliable AI, analytics, compliance, and operational decisions
Discover how leading organizations reduce manual remediation, accelerate onboarding, and improve real-time data accuracy across customer and operational domains
Gain proven strategies to stabilize large transformations (CRM, ERP, platform modernization) by strengthening the Data Foundation that powers downstream systems
Who Should Attend
Enterprise and Solution Architects
Salesforce, Informatica, and Integration Engineers
Data Governance and Quality Leads
AI/ML Platform Engineers
Transformation Program Owners responsible for operational data reliability
In Partnership With
Speakers & Panelists: