Platform engineering teams are increasingly essential as organizations strive for consistency in operating artificial intelligence (AI) systems. Emerging agent-focused tools, like Model Context Protocol (MCP), aim to enhance the safety and predictability of AI management. Historically, tools were hardcoded into agents, complicating sharing and implementation. Idit Levine, CEO of Solo.io Inc., highlighted how MCP standardizes protocols for easier collaboration across teams, enabling tool sharing and enhancing operational efficiency in AI deployments.
As organizations transition from testing to actual delivery, the responsibilities for AI operations are shifting from specialized teams to platform engineering groups. This change signifies a move toward more efficient use of resources and skill development in the AI landscape. The conversation around agent registries and new technologies is poised to shape future discussions as organizations focus on maximizing operational capabilities.
For more insights, check out Levine’s interview on theCUBE, part of SiliconANGLE’s extensive coverage of tech developments.
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