Would you like to become an official DGIQ + AIGov speaker?
Review the process, topics, deadlines, and submission best practices below, then submit your proposal for the 2026 Data Governance & Information Quality (DGIQ) East + AI Governance Conference (AIGov) in Providence, Rhode Island.
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Topics
- Generative AI governance
- AI model risk management
- Responsible AI & explainability
- AI regulatory compliance (EU AI Act, NIST AI RMF)
- AI ethics & algorithmic accountability
- Legal frameworks for AI-generated decisions and outputs
- AI in regulated industries (BFSI, healthcare, public sector)
- Trusted context for agentic AI
- Bringing agents and context into data governance
- AI-powered data lineage & provenance
- Data quality for AI/ML pipelines
- Making AI-ready data
- Synthetic data & privacy-preserving AI
- Quantifying data and AI risk
- Data governance fundamentals & culture
- Data literacy & governance culture
- Data privacy & PII governance
- Data access control & entitlement governance
- Master data management & entity resolution
- Data products and data contracts
- Data product management
- Semantic layer & governed self-service BI
- Cloud data platform governance
- DataOps & governance automation
- Data observability & pipeline health
- and more!
Key Dates
| Proposal submission deadline | June 12, 2026 |
| Speaker invitations begin on | June 16, 2026 |
| Presentation files submission deadline | July 15, 2026 |
The DGIQ + AIGov agenda covers the full spectrum of data governance, information quality, and AI governance, from organizations just beginning their journey to teams managing enterprise-scale programs. It's a rich, varied program, and that focus is intentional. Sessions of a more general data management nature are typically outside the scope of what we curate here.
We receive a high volume of proposals and can't accept them all. We also work hard to bring new voices to the stage each year, so if you've presented at DGIQ or AIGov before, we may not be able to accept the same presentation again. We'd love to hear what you've been working on since.
Vendors submitting proposals for the educational agenda should note that sessions must be product-neutral and free from commercial bias. If you'd like to present your products or services directly, sponsored presentation slots are available for that purpose.
The proposals that rise to the top tend to:
- Open with a clear, concise abstract: tell us what attendees will learn and why it will be useful to them
- Spend the majority of your time on solutions, not restating problems the audience already knows
- Target a specific audience: Management, Steward, Analyst, or Enterprise Architect
- Share a first-hand case study with real lessons learned from personal experience
- Include concrete analysis: cost savings, time efficiencies, measurable outcomes
- Give practitioners a roadmap they can take back to their organization and use
For questions about speaking, please contact Kat Parker, Conference Manager, and Tony Shaw, Program Chair, at speakers@dataversity.net.