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Announcing the 2026 Databricks Customer Awards Industry winners
Michael Griffiths
- Source
- Databricks
- Published
- Added to Yomu
Summary
Databricks announced its 2026 Customer Awards Industry winners, recognizing 10 organizations across financial services, communications, health and life sciences, manufacturing, retail and CPG, energy and utilities, enterprise technology, public sector, digital-native businesses and cybersecurity. The cited work uses data and AI to address industry-specific needs, including SMBC Group’s governed lakehouse for risk and finance, Hospital for Special Surgery’s full-system ingestion strategy, Lumen’s conversational service-operations workflows and Superhuman’s high-volume model serving. Reported results include HSS ingesting more than 40 source systems and creating over 14,500 production tables, Lumen recording 3 million-plus AI-powered diagnostics and 35% ticket deflection, and Superhuman handling peaks above 200,000 queries per second. Adobe is also recognized for applying software engineering practices to cybersecurity detection workflows, reducing false positives and improving development speed.
Context
The awards recognize one standout organization from each sector for using data and AI to address industry-specific challenges, drive operational change and produce measurable results.
Approach / What changed
The recognized organizations consolidate, govern and operationalize data on Databricks platforms, applying lakehouse architectures, natural-language agents, full-system ingestion, model serving and software engineering practices to analytics, workflows, applications and cybersecurity operations.
Takeaways
- Hospital for Special Surgery used full-system ingestion rather than selective, use-case-specific extraction, reaching 40+ source systems, 14,500+ production tables and 130+ schemas in 10 months.
- Lumen reported more than 3 million AI-powered diagnostics, 35% ticket deflection and over 100,000 AI-generated actions through conversational service-operations workflows.
- Superhuman migrated most Grammarly inference traffic to Databricks High Throughput Model Serving, handling peaks above 200,000 queries per second with sub-second P99 latency and four-nines reliability.