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Enterprise / North America

Databricks Data + AI Summit

Data + AI Summit brings data engineering, analytics and AI audiences into a Databricks-hosted programme. The official page announces San Francisco and virtual participation for 2027 and describes training and conference access. Evaluate its ecosystem relevance alongside the specific sessions you need; certification, training and conference tickets should not be assumed interchangeable.

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The Business Case perspective

Data + AI Summit should be compared against the organisation's actual data-platform work. The Databricks ecosystem focus may make certain programme material especially relevant, while virtual participation creates a separate attendance scenario. Price and evaluate the chosen mode rather than building one blended offer from several descriptions.

Who this may suit

Consider it when a team has a defined data-engineering, analytics or AI-platform question. Assign an owner and connect the intended sessions to that decision so the trip is more specific than general technology awareness.

The trade-off to consider

Training, certification and conference access can differ. Platform relevance is not evidence of an eventual procurement outcome or a guaranteed productivity improvement.

Programme & audience

Data practitioners, AI engineers and enterprise decision-makers

Data engineeringAnalyticsAI platforms

Reasons to consider it

  • Data and AI audience breadth
  • Published virtual participation option

Before you make a decision

  • Databricks ecosystem emphasis
  • Training inclusions need checking

Three ways to look at value

01 / Dollar value

See organiser. A comparable current ticket price has not been verified. Check the official edition and pass inclusions.

Plan the wider cost of attending ↗

02 / Networking value

The organiser describes meetups, an expo and event parties; check access by pass.

03 / Buzz value

Not assessed. We have not collected comparable attention data across these events, and do not treat social popularity as proof of quality.

Questions worth taking further

  • Which existing project creates the learning requirement?
  • What changes between virtual and physical access?
  • Which costs belong to training rather than conference admission?

What the source establishes

  • The page announces 21–24 June 2027 in San Francisco plus virtual access.
  • Moscone is named as the physical venue.
  • The all-access description includes keynotes, breakouts, expo and networking.
Databricks Data + AI Summit — official event information↗

Research checked 22 Sept 2026. Organiser descriptions are attributed source information, not independent verification of delivered outcomes. Suggest a correction.