LakeFusion atData + AI Summit

Booth 550  &  Lounge 210
June 15–18, 2026
Moscone Center, San Francisco
LAKEFUSION AT DAIS

Memories with us at Data + AI Summit

Get to know us

Learn what LakeFusion offers — book a demo today.

Modernize MDM
Replace legacy stacks. Run match, merge, and survivorship natively against unity catalog tables — no external rules engine.
Governed Records
Resolve entities across silos with full lineage. Trusted records your analytics, AI, and ops teams can agree on.
AI-Ready Data
Trust signals, validation, and quality checks built-in. The data feeding your models is actually fit for purpose.
Databricks-Native
Install through azure or aws marketplace, point to your tables, and go. No data movement, no bolt-on infrastructure.
Real Customer Stories
We'll show what enterprises are actually shipping with LakeFusion on databricks today.
Featured sessions

When MDM Meets Ontology: A New Architecture for Enterprise Data Intelligence.
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A live talk on what comes after the modern data stack.
The way enterprises think about data architecture is changing. LakeFusion's own Roz King took the stage at Data + AI Summit 2026 to show you what's next.

Elliot Energy Modernized Customer 360 With Databricks Native MDM + Dun & Bradstreet Enriched Data
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A customer story on building one trusted master record.
Ebara Elliott Energy unified fragmented customer data into a single trusted master — powered by LakeFusion on Databricks, enriched with Dun & Bradstreet intelligence.


one source. three platforms

Three product surfaces, one Databricks-native foundation.

MDM

Master customer, supplier, and party records. AI-assisted matching, survivorship, and golden records — all governed through Unity Catalog.

Entity resolution at scale
Deduplication & merging
Survivorship rules
Golden record management
Lineage & audit trails

Graph

Validation rules, trust scoring, and governance workflows that run where your data lives. Catch issues before models or customers see them.

Validation & profiling
Trust scoring
Governance workflows
AI-readiness checks
Drift & anomaly detection

PIM

Govern attributes, enrich product records, keep every channel in sync. Built for retail, manufacturing, and CPG teams on Databricks.

Attribute governance
AI-assisted enrichment
Catalog readiness
Omnichannel sync
Hierarchy & taxonomy

What sets LakeFusion apart at DAIS

If your team uses Databricks, LakeFusion fits right in, running on governed lakehouse data with your security model.

Databricks native

No data movement. No bolt-on tools. Runs against unity catalog tables with your existing governance and access controls.

AI-powered MDM

A blend of LLMs and vector search to unify, classify, and clean records — fast, accurate, and without time-consuming rule creation.

Trusted, AI-ready data

Validation, trust scoring, and lineage built in. The data feeding your AI workloads is actually fit for purpose — and you can prove it.

What we offer

Built for teams solving
MDM, Graph, and PIM on Databricks.
Data leaders

CDOs, vps of data, heads of platform.
MDM & governance teams

Teams replacing manual stewardship and legacy MDM workflows.
AI & analytics leaders

Teams that need trusted, governed inputs for models and analytics.
Enterprise architects

Architects building around lakehouse, unity catalog, and governed data products.
Product & catalog teams

PIM, taxonomy, and channel teams managing product data at scale.