Dawid Benski

Danaher, a global science and technology leader in life sciences, diagnostics and biotechnology, operates through multiple independent companies worldwide. As the organization scaled, data became fragmented across clouds, regions and systems. To unlock enterprisewide intelligence, Danaher built a multicloud, multiregion enterprise data platform on Snowflake using a data product-centric approach. Delivered with Capgemini, the platform enables secure cross-company data sharing, unified governance and AI-driven insights at scale. Today, it supports financial optimization, commercial intelligence and advanced scientific analytics, accelerating AI adoption across the enterprise.

Discover how Snowflake’s cutting-edge technology is transforming analytics applications of a world-leading logistics company from an on-premise solution to a cloud-based, data mesh ecosystem. See how one organization, with the support of Capgemini, is taking charge of the future of data architecture. This session is a must-attend for those interested in the practicalities and strategic planning involved in large-scale data platform modernization. It will cover: - Client’s data mesh platform - Large-scale integration database migration - Project organization and cultural shift - Technical solutions and architectural patterns - A reskilling academy