Organizations are moving quickly from AI experimentation to deploying agentic workflows and automation in production. This creates a dual challenge: accelerating AI-driven delivery while maintaining security, compliance, and deterministic control.
Hosted at Equifax, this TAG Data Science & AI session will focus on practical engineering frameworks and leadership strategies for scaling production-ready enterprise AI. The panel will emphasize how governance can be integrated directly into the software development lifecycle, from AI-assisted architecture design to multi-agent orchestration at enterprise scale.
Discussion topics include:
● Enterprise governance models: isolating probabilistic models from trusted execution layers
● Human-in-the-loop oversight: evolving engineers' roles from code authors to systemic governors
● Security, privacy, and compliance in regulated, high-scale financial environments
● Production monitoring: detecting hallucinations, model drift, and anomalous behavior early
● Balancing speed and risk in enterprise deployment cycles
Designed for executives, tech leaders, risk teams, and AI practitioners, this session delivers practical approaches for building trustworthy, enterprise-grade AI systems.
Please note that if you belong to a member organization but have not yet connected to your company’s membership, you will need to complete the membership activation form before the member rate is available to you.
Event Run of Show (ROS)/Agenda:
● 5:30 PM – 6:00 PM | Registration, Food/Drink & Professional Networking
● 6:00 PM – 6:05 PM | Welcome Remarks & Society Announcements (TAG Board)
● 6:05 PM – 6:10 PM | Moderator Opening & Setting the Stage
● 6:10 PM – 7:10 PM | Moderated Panel Discussion (Structured in 15-minute thematic blocks)
○ Block 1: System Design & Architecture (Deterministic Guardrails)
○ Block 2: Development & Security (Intercepting Vulnerabilities)
○ Block 3: Enterprise Delivery (Managing CI/CD & Testing at Scale)
○ Block 4: Business ROI (Accelerating Market Delivery)
● 7:10 PM – 7:25 PM | Audience Interactive Q&A
● 7:25 PM – 7:30 PM | Closing Remarks & Session Wrap-up
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