Use case type

Data platform modernization

Data platform modernization groups 3 documented AI deployments in the AI Use Case Hub. Adoption so far is concentrated in Tech & Comms. Browse the company examples below to see how teams put it into production.

Use cases

3

Examples

4

Industries

1

Timeline

1 mo

Company examples

Use cases of this type

4 shown from 3 use cases

AlibabaJun 19, 2026

Casio builds omnichannel data mid-end with Alibaba Cloud Dataphin/AnalyticDB to improve marketing and inventory forecasting

Casio, a Japan-based watch brand operating in China, worked with Alibaba Cloud to build an omnichannel data mid-end.The goal was to replace experience-driven customer understanding with data-driven segmentation and improve marketing efficiency and inventory management.

Casio (China) Co., LTD.Retail
AlibabaJun 18, 2026

MiniMax Builds a Cloud-Native Data + AI Platform with Alibaba Cloud (DataWorks/MaxCompute/MaxFrame/Hologres/Flink)

MiniMax is a global AI foundation model company that experienced rapid growth in 2024, pushing user data volumes to tens of petabytes and exposing bottlenecks from fragmented cloud stacks, low development efficiency, high operational overhead, and poor cost/utilization for large-scale data processing.Alibaba Cloud helped MiniMax build a globally unified cloud-native data warehouse centered on DataWorks, MaxCompute, Hologres, Realtime Compute for Apache Flink, OSS, and MaxFrame to support real-time/offline data collaboration and a managed Data+AI preprocessing platform.

MiniMaxTech & Comms
AlibabaJun 14, 2026

Hypergryph builds serverless lakehouse data platform on Alibaba Cloud for live game analytics

Hypergryph modernized its data platform on Alibaba Cloud to support high-frequency live-service game analytics and global game operations.The company adopted a serverless lakehouse architecture with EMR Serverless Spark as the core offline compute engine, plus real-time and ad-hoc analytics components.

HypergryphTech & Comms
GCPJun 13, 2026

Yahoo! unifies Looker conversational analytics with BigQuery and Gemini to eliminate dashboard sprawl

Yahoo! centralized fragmented analytics pipelines into BigQuery and standardized enterprise metrics in Looker with LookML to reduce dashboard sprawl across its distributed GM business units.The company added Looker Conversational Agents powered by Gemini so non-technical users could ask cross-functional questions in natural language while staying within governed Looker security and access controls.Yahoo! also embedded deep links into operational dashboards and is planning a Model Context Protocol-based Looker integration to support future agentic analytics workflows.

Yahoo!Tech & Comms
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