Gemini Enterprise – Agentic platform is here (cloud.google.com)

🤖 AI Summary
Google has launched Gemini Enterprise, an agentic platform that brings its multimodal Gemini models, Agentspace conversational/agent tech, and a no‑code agent workbench into a single, enterprise-focused service. The platform lets users chat with Gemini to search, analyze and synthesize company data (Google Workspace, Microsoft 365, BigQuery, Salesforce, SAP and other datastores), build or deploy ready-made Google agents (Deep Research, NotebookLM) and orchestrate cross‑platform workflows via built‑in connectors and a partner marketplace. Editions span Gemini Business ($21/seat/month, up to 300 seats, 25 GiB pooled indexing/storage) to Enterprise Standard/Plus ($30/seat/month, higher quotas, up to 75 GiB/seat pooled, unlimited seats) and add enterprise controls like VPC Service Controls, customer‑managed encryption keys, data residency/sovereignty, centralized auditing and governance. Developers get Gemini Code Assist and can bring agents built with Google’s Agent Development Kit (ADK) or third‑party agents. For AI/ML teams and IT orgs this is significant because it packages large multimodal models, data connectors, orchestration and governance into a turnkey product aimed at scaling agent adoption across marketing, sales, engineering, finance and frontline workers. Technically, it emphasizes contextualized, enterprise‑grade retrieval + LLM synthesis, secure data plumbing, and extensibility via ADK and marketplace partners — accelerating production use cases while raising important considerations around data residency, training‑data policies (Starter edition may use data for service improvement), vendor lock‑in and governance best practices.
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