Cover Image for Agentic Analytics In Production: What's Working, What's Not
Cover Image for Agentic Analytics In Production: What's Working, What's Not
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MotherDuck
The data warehouse built for getting answers from your data. Works with AI agents and SQL alike. Built in collaboration with the folks at DuckDB Labs.
Private Event

Agentic Analytics In Production: What's Working, What's Not

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New York, NY
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Past Event
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About Event

​Join us for a small, closed-door fireside chat, in NYC, on how leading data teams are building agentic analytics.

​The event is co-hosted by MotherDuck and Hex, with Clay welcoming us into its NYC office.

The goal: Bring together data leaders from some of NYC’s most exciting companies to compare notes, honestly, on what's actually worked and what hasn't in building out agentic analytics. No polished case studies, just practitioners discussing with each other in front of a room of their peers.

The format: a fireside chat, not a stage of individual talks. Four data practitioners, one moderator, and a room of about 50 people who are living this same problem right now.

​And because good conversations deserve good pizza, we’ll have L’Industrie along with beer, wine, and non-alcoholic drinks.

Panelists:
• Ian Macomber, VP Data @ Ramp
• Josh Hanson, Technical Lead, Data @ Clay
• Ali Salihoglu, Head of Digital & Data @ Blank Street
• Duncan Fraser, Data Lead

What we'll get into:

  • ​Semantic layer vs. context layer

  • ​Adoption and change management: how to get people comfortable with AI tooling

  • ​Data surfaces: where are teams exposing data, and how do they keep results consistent across surfaces (e.g., Slack queries, BI tools)

  • ​Much more!

​Agenda
5:30 PM: Doors open, drinks and L’Industrie pizza
6:00–7:15 PM: Panel discussion + audience Q&A
7:15–8:30 PM: Drinks & mingling

Location
Please register to see the exact location of this event.
New York, NY
Avatar for MotherDuck
Presented by
MotherDuck
The data warehouse built for getting answers from your data. Works with AI agents and SQL alike. Built in collaboration with the folks at DuckDB Labs.