Rank#1,170of 3,449
AlibabaProductionEvidence: Medium65/100

Perhutani (Indonesia) — Geospatial data infrastructure with Platform for AI (PAI) on Alibaba Cloud

Use case typeGeospatial data platformUpdated 4 days ago

Perhutani is an Indonesian state-owned enterprise responsible for state forest resources. The company deployed geospatial infrastructure on Alibaba Cloud to manage, process, and analyze large, sensitive geospatial data from sources such as satellite imagery, LiDAR, GPS, and vector data. The solution uses Alibaba Cloud services including File Storage NAS, ApsaraDB RDS for MySQL, Elastic Compute Service (ECS), Server Load Balancer (SLB), VPC, and Platform for AI (PAI) to support scalable, secure, and reliable geospatial applications and AI-driven analytics.

Organization
Perhutani
Industry
Other
Location
Indonesia
Published
July 2026

Reported outcomes

Strategic outcomes

Scale & capacityImproved geospatial infrastructure scalability and flexibilityOther strategic outcomeStrengthened security, privacy, and reliability for sensitive geospatial dataSustainability & ESGSupports environmental monitoring use cases
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
Perhutani
Provider
Alibaba
Maturity
Production

The company deployed geospatial infrastructure on Alibaba Cloud to manage, process, and analyze large, sensitive geospatial data from sources such as satellite imagery, LiDAR, GPS, and vector data

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 2 of 2

  • 1Geospatial data platform
  • 2Real-time analytics
  • Manage large and complex geospatial data from multiple sources.
  • Ensure security, privacy, scalability, high availability, and reliability for sensitive forestry and infrastructure data.
  • Deployed geospatial infrastructure on Alibaba Cloud using storage, database, compute, networking, and load balancing services.
  • Used Platform for AI (PAI) to develop predictive models and analytics for geospatial data.
Technologies
Alibaba Cloud Platform for AI (PAI)File Storage NASApsaraDB RDS for MySQLElastic Compute Service (ECS)Server Load Balancer (SLB)Virtual Private Cloud (VPC)
  • Improved scalability, flexibility, security, and reliability of geospatial applications.
  • Enabled future AI/ML-driven regional insights for environmental monitoring and autonomous navigation.
Architecture

Alibaba Cloud geospatial infrastructure using File Storage NAS, ApsaraDB RDS for MySQL, Elastic Compute Service (ECS), Server Load Balancer (SLB), Virtual Private Cloud (VPC), and Platform for AI (PAI) to support secure, scalable geospatial data management and AI-driven analytics.

Sources & evidence2
Evidence: Medium65/100Evidence strength
  • Customer explicitly identified
  • Deployment status explicitly supported
  • Primary source available
  • Technical implementation details available
  • Multiple corroborating sources available
Type: Customer StoryPublished: Jul 24, 2026Publisher: Alibaba CloudEvidence: PrimaryConfidence: High
Primary sourceSource 2

AI-generated summary. Verify important details with the linked sources before relying on this case.

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