Tom Smith

Tom Smith

About the Author:

Tom Smith (C. Thomas Smith III) is a veteran digital analyst and content strategist who spent more than four years as a Research Analyst at DZone.com (part of Devada), where he conducted thousands of interviews with technology executives and authored roughly 1,500 articles that generated more than 10 million page views across topics including AI/ML, Agile, APIs, cloud computing, DevOps, IoT, Java, Kubernetes, microservices, and security. He holds an MBA in Marketing from Duke University's Fuqua School of Business and a B.A. in Political Science from Duke. Smith later worked as a content strategist and technical writer at Cognizant, including stints on Google's Bard (now Gemini) and Meta's AI Business Assistant (MAIBA) "seed" content teams, where he helped train and evaluate large language models. Over his career, he has interviewed more than 4,000 technology executives across AI, cloud, data, security, and storage sectors. He now writes independently through Insights From Analytics and is a contributing writer across multiple Techstrong Group properties, including DevOps.com, Digital CxO, Cloud Native Now, PlatformEngineering.com, and Techstrong.ai, where he covers AI agents, enterprise AI infrastructure, and emerging developer tools.

Articles by Tom Smith

Google Cloud Pushes for gRPC Support in Model Context Protocol

February 9, 2026

Google Cloud is working with the Model Context Protocol (MCP) community to incorporate gRPC as a native transport option, addressing the complexities of transcoding from JSON-RPC. This enhancement streamlines AI agent connections to enterprise tools, improves performance, and reduces latency, making it easier for organizations to adopt MCP without overhauling existing infrastructure.

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