The enterprise version of NotebookLM enhances privacy, security, and compliance, supporting identity and grounding in enterprise data sources. Google Cloud's Vice President, Raj Pai, emphasized the potential of AI agents to fulfill the unmet promise of generative AI by boosting productivity and ingenuity in enterprises. The launch of Agentspace positions Google Cloud among other major cloud providers like AWS and Microsoft Azure, who are also advancing their agentic AI visions. The platform has already been tested by enterprises such as Deloitte, Decathlon, and Nokia, highlighting its potential to transform enterprise operations through AI-driven task automation.
Key takeaways:
- Google Cloud launched Agentspace to create and deploy AI agents, focusing on roles in sales, marketing, HR, and software development.
- Agentspace is differentiated by its search capabilities, leveraging Google's Gemini models and retrieval augmented generation (RAG).
- Agentspace offers three editions with varying features and pricing, integrating with multiple enterprise applications and tools.
- Google Cloud aims to address unmet generative AI promises by enhancing productivity and ingenuity through AI agents across enterprise data sources.