eGuide

How To Tackle Business and Technical Challenges Impacting Data-Intensive AI Workloads

The adoption of AI and generative AI is highlighting that legacy storage systems continually struggle with data management, infrastructure, and powering AI data pipelines. These types of workloads require different ways of thinking about data, new technologies to support them, and new types of expertise to develop and leverage them. In this eGuide, we provide insights on both the technical and business challenges organizations need to overcome as they seek to capitalize on the value of AI.

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The adoption of AI and generative AI is highlighting that legacy storage systems continually struggle with data management, infrastructure, and powering AI data pipelines. These types of workloads require different ways of thinking about data, new technologies to support them, and new types of expertise to develop and leverage them. In this eGuide, we provide insights on both the technical and business challenges organizations need to overcome as they seek to capitalize on the value of AI.