Google makes an interesting choice with its new agent building tool for enterprises

· Source: AI News & Artificial Intelligence | TechCrunch · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Cloud Computing & IT Infrastructure · Depth: Fundamental Awareness, quick

Summary

Google Cloud Next conference saw the unveiling of the Gemini Enterprise Agent Platform, a new product designed for building and managing AI agents at scale. This platform is Google's direct competitor to Amazon's Bedrock AgentCore and Microsoft Foundry, specifically targeting IT and technical teams within enterprises. Given the nascent stage of enterprise AI and the critical need for security, the platform focuses on technical tasks like coding. Concurrently, Google's Gemini Enterprise app, introduced last fall, caters to business users, allowing them to utilize agents built by IT or create their own for tasks such as scheduling, process automation, and file management across applications. The platform supports Google's Gemini LLM and Nano Banana 2 image generator, alongside Anthropic's Claude models, including Opus, Sonnet, and Haiku.

Key takeaway

For CTOs and VPs of Engineering evaluating enterprise AI solutions, Google's Gemini Enterprise Agent Platform offers a robust, scalable option for agent development and management. Your teams can leverage its focus on technical tasks and integrated security features to deploy AI agents effectively. Consider its multi-model support, including Claude Opus, when planning your AI strategy to ensure flexibility and access to diverse capabilities.

Key insights

Google's Gemini Enterprise Agent Platform enables scalable AI agent development for technical and business users.

Principles

Method

The platform facilitates agent creation for IT teams, while a companion app allows business users to deploy or build agents for specific tasks like scheduling and file editing, leveraging various LLMs.

In practice

Topics

Best for: CTO, VP of Engineering/Data, Director of AI/ML, AI Engineer, IT Professional, Operations Professional

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI News & Artificial Intelligence | TechCrunch.