Databricks Data + AI Summit 2026 without a booth
June 15–18, 2026 · Moscone Center, San Francisco. Data + AI Summit is the rarest thing in B2B: a 20,000-person event where the buyers are the ones on stage. Every speaker abstract names the production system, the team size, and the unsolved problem — that is not a speaker list, that is an enriched lead list Databricks publishes for free, eight weeks before the keynote.
Why this event is worth playing
Data + AI Summit is the rarest thing in B2B: a 20,000-person event where the buyers are the ones on stage. Every speaker abstract names the production system, the team size, and the unsolved problem — that is not a speaker list, that is an enriched lead list Databricks publishes for free, eight weeks before the keynote.
Official site: www.databricks.com/dataaisummit
The universal four-week playbook
T-28 days. Pull the public speaker agenda. This is the only window that matters — the 8-45-90 curve says 60–70% of all event-driven conversion comes from outreach started in this three-week window.
T-25 days. Enrichment + ICP scoring. Keep only the speakers who match your ICP. The rest go into a low-priority nurture for next year.
T-21 days. First touch. Every M1 references the speaker's actual talk title or a specific line from a recent post — never the product, never the booth. Ask is a 15-minute coffee at the venue, not a demo.
T-14 days. Track reply rate. Healthy is 8–15% on a talk-specific opener. Second-touch sequence to non-responders reframes around a peer attending the same panel.
T-7 days. Logistics confirmation to everyone who said yes. Calendar holds with venue + specific landmark.
On site. Walk in with the calendar already booked. Outreach misses turn into LinkedIn follow-ups during the event itself.
What's different about Data + AI Summit
- Pull the speaker agenda the day it goes live — typically 6–8 weeks before the keynote. Vendor user-confs publish early and update weekly; second-wave speakers are usually the highest-value targets because they joined late and have not been blasted yet.
- Filter aggressively to practitioner speakers (Head of Data Platform, Staff Data Engineer, ML Platform Lead) at companies between 500 and 10,000 employees. Skip the Databricks-employee speakers — they're not buyers.
- Reference the actual talk title and one specific claim from the abstract. "Saw your 'agentic workflows on Mosaic' session" beats "saw you'll be at Summit" 5-to-1 on reply rate.
- Use the Moscone walking radius. Ask for 15 minutes at a coffee stand on Howard Street, not a 30-minute demo at your hotel. Lower friction wins.
The thing nobody will tell you
Half the Databricks badges belong to consultants billing their client for the trip. The customer speakers who matter got on stage by submitting a CFP last October — which means by April they have been on three vendor pitch calls a week, and nothing in their inbox lands unless it quotes their abstract back to them in the first line.
FAQ
Databricks typically publishes the speaker agenda 6–8 weeks before the event and updates it weekly through the keynote. The full list is usually live by mid-April for the June dates.
Skip the booth. Pull the speaker agenda 4 weeks out, score speakers against your ICP, and send talk-specific LinkedIn DMs asking for 15 minutes at a coffee stand near Moscone. Speakers are the highest-intent audience and the cheapest to reach.
Practitioner speakers at customer companies between 500 and 10,000 employees — Heads of Data Platform, Staff Data Engineers, ML Platform Leads. Skip Databricks employees and skip keynote celebrities; they're booked solid.
Run this play on Data + AI Summit
Sayintel automates the four-week playbook end to end: speaker extraction, enrichment, ICP scoring, and per-speaker draft generation that quotes the actual talk. You approve every send — nothing goes out without your tap.