The Apiphani Data Pipeline and AWS Services Industrialize Data Delivery for BI, ML, and AI

The article describes Apiphani's approach to industrializing data delivery for Business Intelligence (BI), Machine Learning (ML), and Artificial Intelligence (AI) using AWS services.

• The approach focuses on three key components: Technology, Ways of Working, and Culture
• Utilizes a 3-tier data infrastructure on AWS with Sandbox, Development, and Production environments
• Implements data pipelines that enable:
  • Integrated data products across domains
  • High volume and velocity data processing
  • Customer-facing digital products
• Provides robust security and compliance through encryption, access controls, and monitoring
• Uses a Data Domain team and Center of Excellence model to manage data assets

The case study with Hanwha Power Systems Manufacturing demonstrates benefits like faster root cause analysis, 20% reduction in planning time, and improved resource allocation through data-driven approaches.