Most organizations now have AI agents running in production. Few have governance built to keep up.
AI Governance Online (AIGov Online) is DATAVERSITY's free, one-day virtual conference on enterprise AI governance, returning this September with practitioners from ExxonMobil, OpenAI, and Children's Hospital of Philadelphia showing exactly how they're closing that gap.
Join the thousands of data and AI professionals who make AI Governance Online part of their year.
Registration is free and includes every live session, on-demand recordings, and slides to bring back to your team. Attend live online, or watch on your own time.
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Enterprise AI has moved past the pilot stage. What hasn't kept up is the governance built to manage it once it's live: auditability, accountability, and control across data, risk, and compliance teams that too often assume someone else owns the problem.
This one-day virtual event brings together the practitioners closing that gap right now, so you leave with what to do next, not just what to think about.
Hear directly from the practitioners doing this work today, including two pioneering case studies and consultants working inside real companies as the rules get written in real time.
Build relationships with executives and practitioners navigating the same accountability questions, from teams standing up their first governance program to those running one at enterprise scale.
Strengthen your expertise in metadata, autonomous agents, and organizational risk, the skills organizations are actively building teams around right now.
Leave with the clarity and tools to close the gap at your own organization, with agility and accountability.
presented by Gretchen Burnham, Principal Data Management Consultant, First San Francisco Partners, and Stephanie Paradis, Senior Data Governance Consultant, First San Francisco Partners
AI was supposed to be data's big moment. Turns out, it's metadata's.
Four years after ChatGPT ignited the generative AI wave, organizations are still struggling to demonstrate ROI. Heading into 2027, most executives have recalibrated expectations to simply not losing money on their AI investments. Models are advancing and data quality is finally getting its due...so what's the root cause?
Models don't deterministically know what data means, when to apply it, or how to behave with it. The information is there, but the translation key is missing. That's metadata's role - and that role has fundamentally changed. Metadata is no longer passive description for human interpretation and application. In the era of AI, it drives automated, operational translation through the semantic layer and automated, operational control through the architecture layer.
This session tackles these cutting-edge challenges all AI-enabled organizations face: knowing what metadata to collect, how to make it available for AI consumption, how to govern across both purposes, and how to drive alignment across the organization.
presented by Siddharth Jain, AI Engineering Manager, Finance AI, OpenAI
Enterprise AI agents do not fail only because a model is wrong; they fail when ownership, access, context, review, and evidence are unclear. This session shares practitioner patterns from building production AI workflows for finance and enterprise operations at OpenAI: governed tool contracts, MCP-style integrations, Apps SDK UI surfaces, Temporal workflows, evals, citations, access controls, and human-in-the-loop review. Attendees will see how to design agent workflows that preserve audit trails, support reviewer trust, enforce permission boundaries, and give governance, risk, and operations teams evidence they can actually use.
Key takeaways:
presented by Martin Obiozor, Data Management Solution Architect, ExxonMobil
Few enterprises have an AI governance practice. At ExxonMobil, the gap between policy and execution was a familiar challenge until we applied the 4 Disciplines of Execution (4DX) as a governing philosophy. I will walk through how we identified AI governance as a Wildly Important Goal, built lead measures around our five-phase Enterprise AI Intake Process hosted in Collibra, created a compelling scoreboard using our GOLLUM Metrics framework, and established a cadence of accountability that made governance sustainable rather than aspirational. GOLLUM (Gathering, Optimization, Leadership, Licensing, Usage & Metrics) instruments our AI use-case lifecycle across 10 governance steps, quantifying the true value of systems, processes, and investments. Metrics matter: you are what you measure, and what you measure is what you become. Attendees will leave with a practical blueprint for turning AI governance away from a compliance checkbox into an organizational discipline, grounded in real lessons from one of the world's largest energy companies.
moderated by Sara Nash, Practice Lead, Semantic Engineering and AI, Enterprise Knowledge, with panelists Kelle O'Neal, Founder and CEO, First San Francisco Partners, and Steve Holyer, Director of Data Foundations, Integration & Trust, Informatica from Salesforce
As organizations accelerate AI adoption, a critical question is emerging: how should AI governance relate to existing data governance programs?
Many organizations are launching AI governance initiatives while simultaneously managing mature data governance, privacy, risk, security, and compliance programs. The result can be overlapping responsibilities, duplicate processes, competing committees, and uncertainty around ownership and accountability.
In this candid panel discussion, industry leaders will explore where data governance and AI governance intersect, where they differ, and how organizations can create a unified governance strategy that enables innovation without adding unnecessary complexity. Panelists will share real-world experiences establishing governance operating models, defining decision rights, coordinating across business and technical teams, and leveraging existing governance investments to support responsible AI.
Attendees will gain practical insights into how leading organizations are aligning governance functions, reducing redundancy, clarifying accountability, and building the trust framework needed to support AI at scale.
presented by Anjita Shetty, Data Quality Portfolio Lead, Children's Hospital of Philadelphia, and Samantha Reilly, DTS EDG Portfolio Lead, Children's Hospital of Philadelphia
This case study presents a real-world journey of an organization implementing adaptive data governance to support its evolving data strategy, from initial cataloging efforts to mature practices in data access and quality management.
Faced with fragmented data assets and siloed ownership, the organization adopted a flexible and decentralized governance model to build its data catalog. By empowering domain stewards and operational leaders, governance decisions were made closer to the data, accelerating metadata capture and improving contextual accuracy.
As the catalog matured, the organization shifted focus to data access and quality, using collaborative governance frameworks to align clinical, operational, and technical teams. This enabled the co-creation of access policies and quality standards that were both scalable and responsive to frontline needs.
Key success factors included:
This adaptive approach not only accelerated the organization’s data catalog implementation but also laid a strong foundation for trusted, accessible, and high-quality data across the enterprise.
presented by Johna Till Johnson, CEO, Nemertes
AI hype has outpaced AI reality, but that doesn't mean the risks are hype too. This session cuts through the AGI doomsaying to focus on what's actually happening: AI is reshaping the cybersecurity threat landscape faster than most organizations can respond.
Johnson outlines three concrete problems reshaping enterprise risk. First, agents, MCP servers, and AI-to-AI connections are creating attack surfaces that are ephemeral, unpredictable, and present everywhere from cloud to edge, breaking assumptions built into current defense tools. Second, AI asymmetrically empowers attackers: generative models produce attacks far faster than defenders can validate responses, and only one attack needs to succeed while every defense must hold. Third, the operational model of cybersecurity, prioritize and patch methodically, is collapsing under exponential, increasingly critical, AI-chained vulnerabilities.
Using the real-world case of Anthropic's Claude Mythos and Project Glasswing as a lens, Johnson examines how even the most sophisticated organizations are struggling to keep pace, and why throwing more money or people at the problem won't work. She closes with a practical roadmap: cross-functional tiger teams, unified identity management spanning AI and human actors, zero-trust as architecture rather than philosophy, and continuous wargaming, concrete steps organizations can take now, ahead of looming regulatory deadlines like the EU AI Act.
Most organizations have AI in production. Few have governance built to keep up, and the ones closing that gap now are the ones who get to define how it's done, instead of reacting to someone else's rules later.
Learn from practitioners doing this work inside real organizations right now, connect with peers facing the same stakes, and leave with frameworks you can put to use immediately, not months from now.
Join the thousands of data and AI professionals who make AI Governance Online part of their year. This is the one to be in the room for.
AI Governance Online (AIGov Online) is a free annual virtual conference produced by DATAVERSITY, bringing together practitioners and leaders working on responsible AI governance for one focused day of practitioner-led sessions. AIGov Online 2026 takes place September 30, 2026.
AI Governance Online (AIGov Online) is built for data governance leaders, risk professionals, AI governance practitioners, and the architects and engineers who implement the policies, controls, and accountability structures that determine how AI gets adopted responsibly across an organization.
If your work involves data governance, AI risk, compliance, or the frameworks that determine how AI is built, deployed, and trusted, this day was built for you.
Because your future in data deserves more than guesswork.
The field is moving fast and the practitioners furthest along are sharing exactly what they've learned.
When you register for AIGov Online, you're unlocking:
• Free access to six expert-led, 40-minute sessions
• Practical insights from the top minds in the industry
• Real-world, experience-based learning you can apply immediately
• Full access to recordings, slides, and session materials
• Live Q&As after each session for direct interaction and clarity
One focused day designed to change how you govern AI.
AIGov Online is focused on AI governance, but security and risk show up throughout the day since the two are closely connected in practice.
Nemertes CEO Johna Till Johnson closes out the agenda with a session on how AI is reshaping the cybersecurity threat landscape: the attack surfaces created by agents and AI-to-AI connections, why traditional patch-and-prioritize security models are breaking down, and a practical roadmap for cross-functional response ahead of regulatory deadlines like the EU AI Act.
If risk, identity management, or security architecture is part of how you approach AI governance, this session is for you.
Registration is 100% free and includes both live access and the on-demand recordings after the event. No strings or hidden fees. Just practical education from the people actually doing the work.
Yes. If you can't make it live, you'll still get full access to every session recording, plus downloadable slides and materials sent straight to your inbox within one week of the event.
That said, the live Q&A with speakers only happens once, so if you can join us on September 30, it's worth it.
No, and it's worth knowing the difference before you register. AI Governance Online is a free, one-day virtual event focused specifically on AI governance.
DGIQ is DATAVERSITY's in-person flagship conference, held twice a year with a different focus each time: DGIQ + EDW in the spring on the west coast, and DGIQ + AIGov this fall in New England. It's a multi-day event with a full program of workshops, networking, and deep-dive sessions you won't find in a one-day virtual format.
If AI Governance Online is where you find out what's happening right now, DGIQ + AIGov is where you go deeper, with extended case studies and hands-on frameworks you can bring back and actually implement.
Many people attend both. You can learn more about DGIQ + AIGov 2026 here →
If you want a fast, focused, free introduction to what's happening in AI governance right now, start here.
We thought you might. AI Governance Online is just the beginning.
If you want to go deeper, join us in person this November at DGIQ + AIGov 2026, the Data Governance and Information Quality (DGIQ) Conference and AI Governance (AIGov) Conference in Providence, Rhode Island.
It's a four-day conference where governance leaders and data professionals come together to work through the hardest problems in the field — live, in person, and with the people shaping it.
November 16–19, 2026 · Providence, RI
Explore the Conference →
If you prefer virtual learning, we provide a rich mix of options, including live online trainings, webinars, white papers, blogs, and more, to meet you wherever you are in your career journey.
Explore your learning opportunities at dataversity.net.
DATAVERSITY is a trusted, global resource for business and IT professionals who manage, govern, and make decisions with data.
Our mission is to deliver the most practical, high-quality education in the industry through conferences, training, webinars, and thought leadership content for people who manage, govern, and make decisions with data.
AI Governance Online Conference is one of several annual events in the DATAVERSITY portfolio.
Learn more at dataversity.net.
Yes, and your brand belongs in this conversation.
AI Governance Online Conference (AIGov Online) on September 30, 2026 connects you with thousands of data and AI professionals actively investing in governance strategy, tools, and vendor relationships. Sponsoring this virtual AI governance event means reaching a highly qualified, global audience at the moment it matters most.
Previous sponsors of DATAVERSITY online conferences include IBM, Collibra, Informatica, Precisely, and OneTrust.
Download the AI Governance Online Conference Sponsorship Prospectus →
Interested in learning more? Contact Shannon Kempe at shannon@dataversity.net.
