Creating and Managing Massive - and Sustainable - Data Lakes for Data-Intensive Workloads and AI

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Presented by

Roland Rosenau, SE Director EMEA, and Skip Levens, Product & Solutions Marketing, Quantum

About this talk

Find out how to unlock the full potential of your data in this deep dive into building and managing scalable, efficient, and environmentally sustainable data lakes. This webinar explores how organizations can tackle the growing demands of data-intensive workloads and AI applications while maintaining a commitment to sustainability and improving overall operational efficiency. Topics Covered: * Designing scalable and cost-effective data lakes to handle massive data volumes. * Integrating AI and machine learning workflows seamlessly with modern data lake architectures. * Employing strategies to reduce energy consumption and carbon footprints. * Leveraging advanced tools to ensure data security, governance, and accessibility across hybrid environments.
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Quantum delivers end-to-end data management solutions designed for the AI era. From high-performance ingest that powers AI applications and demanding data-intensive workloads, to massive, durable data lakes to fuel AI models, Quantum delivers the most comprehensive and cost-efficient solutions. Leading organizations in life sciences, government, media and entertainment, research, and industrial technology trust Quantum with their most valuable asset – their data. Quantum is listed on Nasdaq (QMCO). For more information visit www.quantum.com.