David Koppe

Executive Summary Nomura’s Risk Advisory division transformed its data infrastructure by modernizing from an aging Hadoop environment to a hybrid object-native data lakehouse powered by MinIO AIStor. This shift delivered measurable gains in performance, stability, and scalability, reducing operational costs and risk, while improving data availability and supporting future AI and analytics workloads. Key benefits included: * Performance: Benchmarking demonstrated

1. Executive Summary A global financial institution modernized its Data Analytics Platform, shifting from legacy, appliance-based storage to a high-performance, cloud-native MinIO AIStor-powered data lakehouse. This transition cut deployment time by 50%, maximized data insights, boosted AI model efficiency, improved existing analytics workflows, and enabled entirely new AI-driven use cases. 2. The Environment Like many global financial institutions, this organization

Executive Summary AMD, a global leader in high-performance computing, graphics, and semiconductor technologies, faced challenges with its internal engineering systems. Their systems, including ServiceNow, Jira, GitHub repositories, telemetry pipelines, and infrastructure logs, were developed independently over time, but they were deeply interconnected. This created data silos that obscured the connections across the engineering lifecycle, hindering AMD's agility in

Our customer, a large electric utility company with millions of users, was faced with challenges common to utility and energy companies around the world: how to manage ever-growing energy demands, while diversifying energy supply to incorporate renewable and sustainable sources. A key element of their strategy is a smart metering initiative - bringing the power of technology and AI to