Solution partner

Databricks

Databricks powers 2 source-linked AI deployments documented in AIUseCaseHub, across 2 industries and 2 countries.

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Use Cases

Industries

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Hyperscaler mix

Filter Databricks's implementations by cloud provider evidence.

How Databricks builds AIBuild, Buy & Compose — what they mean
Build — Custom, pro-code engineering — bespoke pipelines and SDKs (e.g. Bedrock, Vertex AI).
Buy — An off-the-shelf assistant or copilot, adopted as the main solution.
Compose — Low-code / no-code assembly (e.g. Copilot Studio, Power Platform, n8n).
Mixed — A combination of more than one of the above.

Build / Buy / Compose across this partner's documented cases

BuildBuyComposeMixed

2 of 2 cases classified (100%) · Compare all use-case types

Evidence persistence

1 of 1 judgeable case is still publicly referenced.

Durability of public evidence, not whether systems remain in production. How this is measured →

All Use Cases (2)

Condé Nast transforms publishing workflows using Amazon Bedrock on AWS

Condé Nast migrated 800+ media properties to a unified AWS Cloud infrastructure and built a centralized data platform with Databricks on Amazon S3.The company deployed Amazon Bedrock for content rights management and content moderation, and used Amazon SageMaker for specialized search models.The solution analyzes editorial content together with contract and licensing data to identify rights availability in minutes instead of weeks, and automates moderation workflows to reduce manual checks.

OtherUnited StatesMay 2026

Microsoft

Kinaxis and Databricks Revolutionize Supply Chains

Kinaxis partnered with Databricks to unify supply chain data and enable smarter, more agile AI-driven decision-making. Their AI-driven Maestro platform integrates data sources to optimize operations and ensure supply chain stability.

ManufacturingCanadaApr 2025