Google Positions Gemini for Enterprise Workflows
Google's Gemini for Workspace is being positioned as an enterprise-strength AI engine for automating tasks across video, meeting notes, and content creation. Its integration allows for rapid asset generation and smart summarization, while a new "Ask" button in Google Photos also utilizes Gemini for context-aware search.
- Google's text-to-video model, Veo, can generate 4K video with native audio and is integrated into Workspace through the Google Vids app. It is positioned to compete with models like OpenAI's Sora and is designed for prompt adherence and creating consistent characters across scenes. - The enterprise offering is tiered, with "Gemini Enterprise" starting at $30 per user, per month, providing access to more powerful models, higher usage quotas, and advanced security features. This tier also includes Gemini Code Assist for developers and the ability to build and deploy custom AI agents. - Google has shifted its pricing strategy, eliminating the previous $20-$30 per user monthly add-on for Gemini features. Instead, Gemini is now integrated directly into most Google Workspace Business and Enterprise plans, which saw a corresponding price increase. - In direct comparison to Microsoft Copilot, Gemini is often highlighted for its strength in creative tasks and research, while Copilot is noted for its deep, seamless integration across the Microsoft 365 suite for productivity workflows. - The "Ask" button in Google Photos goes beyond search, allowing users to give natural language editing commands like "Remove Kellen's sunglasses, open my eyes, make Julia smile." It uses Gemini to analyze a specific photo's content and metadata to provide contextual information or perform edits. - The underlying AI models are rapidly evolving, with different versions like Gemini Nano (for on-device tasks), Pro, and more advanced models like 2.5 Pro and Gemini 3 Pro powering the various services. - Beyond Workspace apps, the broader "Gemini Enterprise" platform allows companies to build no-code, custom AI agents that can automate complex workflows and connect to various organizational data sources, including Microsoft 365.