In this interview from theCUBE + NYSE Wired: Mixture of Experts, Kim Crawford Goodman, chief executive officer of Smarsh, joins theCUBE + NYSE Wired's Gemma Allen to discuss the shift from communications compliance to communications intelligence. Goodman details how Smarsh has expanded data capture across emerging AI platforms, including Amazon Bedrock, Google Workspace and Claude for Enterprise, while unifying previously siloed communications data into a single integrated platform. She outlines how a new suite of AI agents, including a Discovery Agent for legal investigations, now works directly within that data, and how the company's newly launched MCP server lets client-built agents securely access Smarsh's platform and data.
The conversation also explores how Smarsh is navigating an increasingly crowded AI landscape by pairing a purpose-built small language model with support for large and open-source models alike, ensuring flexibility without compromising data integrity. Goodman breaks down why scale, security and decades of domain depth separate Smarsh from newer, narrower competitors and larger generalist players. She highlights expanding demand beyond financial services into government, healthcare and other regulated industries, along with emerging use cases like AskSmarsh, which lets employees query their own communications data in natural language. From compliance to legal discovery to revenue growth, Goodman makes the case that communications data is becoming one of the most valuable and underused assets inside the enterprise.
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Kim Crawford, Smarsh
In this interview from theCUBE + NYSE Wired: Mixture of Experts, Kim Crawford Goodman, chief executive officer of Smarsh, joins theCUBE + NYSE Wired's Gemma Allen to discuss the shift from communications compliance to communications intelligence. Goodman details how Smarsh has expanded data capture across emerging AI platforms, including Amazon Bedrock, Google Workspace and Claude for Enterprise, while unifying previously siloed communications data into a single integrated platform. She outlines how a new suite of AI agents, including a Discovery Agent for legal investigations, now works directly within that data, and how the company's newly launched MCP server lets client-built agents securely access Smarsh's platform and data.
The conversation also explores how Smarsh is navigating an increasingly crowded AI landscape by pairing a purpose-built small language model with support for large and open-source models alike, ensuring flexibility without compromising data integrity. Goodman breaks down why scale, security and decades of domain depth separate Smarsh from newer, narrower competitors and larger generalist players. She highlights expanding demand beyond financial services into government, healthcare and other regulated industries, along with emerging use cases like AskSmarsh, which lets employees query their own communications data in natural language. From compliance to legal discovery to revenue growth, Goodman makes the case that communications data is becoming one of the most valuable and underused assets inside the enterprise.
In this interview from theCUBE + NYSE Wired: Mixture of Experts, Kim Crawford Goodman, chief executive officer of Smarsh, joins theCUBE + NYSE Wired's Gemma Allen to discuss the shift from communications compliance to communications intelligence. Goodman details how Smarsh has expanded data capture across emerging AI platforms, including Amazon Bedrock, Google Workspace and Claude for Enterprise, while unifying previously siloed communications data into a single integrated platform. She outlines how a new suite of AI agents, including a Discovery Agent for le...Read more