2026 North American Semarchy Summit Schedule
Join customers, partners, and data leaders from across North America for two days of learning, innovation, and connection with the Semarchy community.
10/05/2026 - 10/06/2026
Westin Chicago River North
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Day 1 — Build the Foundation: Treat Data as a Product and Operationalize Data Products at Scale
| Time | Event | Description |
| 1:30 PM – 2:30 PM | Registration | |
| 3:00 PM- 3:10 PM | Welcome & Opening Remarks | House welcome and agenda overview: Where Are You on Your Data Transformation Journey? |
| 3:10 PM – 3:50 PM | Opening Keynote: Industry Perspective | The Data Transformation Journey: How Innovative Leaders are Adopting Data Products as an evolution of MDM |
| 3:50 PM – 4:30 PM | Vision Keynote | Enabling the Agentic Enterprise with Intelligent Data Products |
| 4:30 PM – 4:40 PM | Customer Innovation Spotlight: T. Rowe Price | Building modern data products with the Semarchy Snowflake Native App |
| 4:40 PM – 4:50 PM | Customer Advocacy – Partnering on Activation to Drive Mutual Awareness | Session to overview advocacy and discuss benefits |
| 4:50 PM – 5:30 PM | Customer Awards Ceremony & Day 1 Closing Remarks | Connecting data strategy to business outcomes and AI value |
| 6:30 – 9:30 PM | Evening Offsite Event, Cocktail Reception & Dinner | Customer Reception at River Roast, 315 North LaSalle Street, Chicago, IL 61654 – One block from the Westin. |
Day 2 — Enable an agentic enterprise at scale
| Time | Event | Description |
| 7:30 AM – 8:45 AM | Networking Breakfast | |
| 9:00 AM – 9:15 AM | Day 2 Opening & Overview | |
| 9:15 AM – 10:00 AM | Snowflake: Technology Partner Keynote with Prabhath Nanisetty, Global Industry Leader – Technology, Digital Natives & AI, Snowflake | |
| 10:00 AM – 10:05 AM | Breakout Overview & Directions | |
| 10:05 AM – 10:30 AM | Networking & coffee break | |
| 10:30 AM – 11:10 AM | Breakout 1: Business & Leadership — What Your Leaders Want to Hear About Data. | The framing and language to justify MDM investment internally: start from the CEO and board agenda, then connect it to data outcomes. Practical frameworks and peer perspectives on what actually moved the needle. |
| 10:30 AM – 11:10 AM | Breakout 1: Data & Architecture — Intelligent Data Products for Your AI Success. | How to turn fragmented, conflicting source data into a single trusted foundation: mastered data, semantic intelligence, explainability and instructions, with the ownership and quality later stages depend on. |
| 11:20 AM – 12:00 PM | Sponsor Session Block: Partner + Customer Showcase | |
| 12:00 PM- 1:30 PM | Lunch & Networking | |
| 1:30 PM- 1:35 PM | Afternoon Welcome & Updates | |
| 1:35 PM– 2:20 PM | Customer Panel: The Evolution from MDM to Intelligent Data Products | Traditional MDM + SDP adopter + AI-focused customer |
| 2:30 PM- 3:10 PM | Breakout 2: Practitioner — Moving to SDP: Lessons for Success. | Peer-led. Customers who have made, or are making, the xDM to SDP move share honest experiences: transition sequencing, stakeholder management, legacy models, and what “done” actually looks like. |
| 2:30 PM- 3:10 PM | Breakout 2: Practitioner — Build a Data Product in Under 20 Minutes with DataOps & AI. | Starting from mastered data, we’ll design, build, and publish a reusable data product live, in under twenty minutes — ready for teams, applications, and agents to consume. |
| 3:10 PM– 3:30 PM | Refreshment Break | |
| 3:30 PM– 4:10 PM | Breakout 3: Practitioner — Understanding the Value of SDP (presented by APGAR). | For those evaluating the migration to SDP – Hear examples of organizations who have migrated to SDP and understand SDP’s value to the business, as well as to AI, through context. How to turn fragmented, conflicting source data into a single trusted foundation: mastered data, semantic intelligence, explainability and instructions, with the ownership and quality later stages depend on. |
| 3:30 PM– 4:10 PM | Breakout 3: AI‑Native MDM: When an Agent Talks to x360 (presented by Fresh Gravity). | This session introduces an AI-native approach to master data management, showing how an AI agent can work with Semarchy R360 through a governed MCP interface. The session opens by framing a familiar operational challenge: MDM teams often have the right governance controls, workflows, and stewardship rules in place, but investigation, impact analysis, and environment reconciliation still depend heavily on manual effort and specialized knowledge. It then explains MCP as a controlled interface that lets agents use approved R360 capabilities without bypassing approvals, auditability, or human decision-making. |
| 4:15 PM- 5:15 PM | Product expert clinics and open networking |