

Storage Strategies That Keep GenAI on Budget - with Amit Gupta of Danaher
Aug 20, 2025
Amit Gupta, Chief Digital Officer at Danaher, shares insights on building enterprise-ready AI infrastructure. He emphasizes that data is the foundation of successful AI, outlining a four-part architecture for effective deployment. Amit explores tiered storage strategies that enhance compliance, cost control, and security. He highlights the complexities of data integration during acquisitions and the importance of creating 'golden records' for reliable customer data management. Gain essential strategies for navigating these challenges in regulated industries!
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Design A Four-Layer Data Architecture
- Build an architecture that separates aggregation, integration, transformation, and harnessing.
- Use that layered plan to guide tool choices and prioritize work for long-term AI success.
Data First Drives Scalable AI
- Scalable AI depends first on data, not just models or use cases.
- Amit Gupta outlines four data layers: aggregation, integration, transformation, and harnessing.
Create Golden Records With MDM Tools
- Implement master data management early to create trusted golden records.
- Combine MDM tools like Tamr with systems such as Salesforce Data Cloud to link master and transactional data.