Mike Vizard

Mike Vizard

About the Author:

Mike Vizard is a veteran IT journalist with more than 25 years of experience covering the technology industry, having previously served as Editor-in-Chief of both CRN and InfoWorld and as editorial director for Ziff-Davis Enterprise, where he oversaw titles including eWEEK, CIO Insight and Baseline. Over his career he has also edited or contributed to a wide range of enterprise technology publications, including IT Business Edge, Channel Insider, ComputerWorld, TMCNet and Digital Review, and he later led editorial for CTOEdge.com. His reporting and analysis span software development, cloud computing, cybersecurity, IT channel strategy and, more recently, artificial intelligence and DevOps practices. A recognized voice in enterprise IT journalism, Vizard is known for tracking emerging technology trends as they move from early adoption into mainstream enterprise use. He now serves as Chief Content Officer for Techstrong Group, where he oversees editorial strategy across the full network — DevOps.com, Security Boulevard, Cloud Native Now, Digital CxO, Techstrong.ai, TechStrong.IT, Techstrong Semi and PlatformEngineering.com — in addition to writing and hosting content for Techstrong TV and the Techstrong Gang podcast.

Articles by Mike Vizard

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Ingram Micro Showcases AI Sales Agent Based on Google Gemini LLM

November 4, 2025

At the Ingram Micro One 2025 conference, CEO Paul Bay introduced the AI-powered Sales Briefing Assistant—built on Google’s Gemini LLMs—to deliver real-time market insights and sales signals via the Xvantage AI Factory. The tool aims to help partners drive smarter, data-driven engagement across global IT and SMB markets.

Commvault Previews Data Rooms to Streamline Data Engineering for AI Teams

October 29, 2025

Commvault has introduced Data Rooms and a new Model Context Protocol (MCP) server to make backup data more accessible for AI and data science teams. These innovations enable secure, governed access to classified data, streamline data engineering workflows, and accelerate AI model development by leveraging existing data protection platforms.

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