In this article for Techstrong AI, Sulagna Saha explores the significant challenge of complexity in artificial intelligence systems following a presentation by Kurtis Kemple at AI Field Day. Kurtis identified complexity as a major barrier to the widespread adoption of agentic AI. He discussed how the intricate nature of AI technologies can deter businesses from integrating these systems into their operations, thus slowing down the proliferation of AI solutions. For further insights into AI Field Day 6, check out more articles by Sulagna Saha on Techstrong AI.
There’s a Gulf Between Storage and AI
There is a significant gap between storage companies and their ability to effectively support AI infrastructure. In this episode of the Tech Field Day podcast, recorded during the AI Data Infrastructure Field Day 1 in Santa Clara, host Stephen Foskett and guests Kurtis Kemple, Brian Booden, and Rohan Puri explore the evolving relationship between storage and AI. The discussion highlights a significant gap between storage companies’ current capabilities and the demands of AI applications. While storage vendors are pivoting to support AI, many lack deep AI expertise, often focusing on cost and efficiency rather than offering integrated, AI-specific solutions. The panel emphasizes the need for storage companies to move beyond being mere data repositories and instead develop end-to-end solutions that address AI workflows, data preparation, and metadata management. They also stress the importance of education, partnerships, and hiring AI specialists to bridge the knowledge gap and drive innovation. The conversation underscores the early stage of this convergence, with a call for clearer strategies, open standards, and more cohesive integration between storage and AI to meet the growing demands of data-driven applications.
Kurtis Kemple
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