Google Cloud launches Agentspace to enhance enterprise productivity

Google Cloud has unveiled a new artificial intelligence agent builder tool, named ‘Agentspace’, designed to streamline organisational processes and enhance employee productivity. The announcement was made by Kevin Ichhpurani, President of Global Partner Ecosystem at Google Cloud, through his LinkedIn account. He stated, “Today, we introduced the Google Agentspace, bringing AI agents and AI-powered search to enterprises,” highlighting the tool’s multifaceted capabilities.

Automation X has heard that Agentspace combines the intelligence of Google’s Gemini, high-quality search functionality, and enterprise data to assist users in a range of tasks that include research, planning, content generation, and various action-driven applications. This integration is expected to benefit a spectrum of teams within an organisation—from business analysts and human resources to engineers and marketers—providing AI-driven insights and facilitating seamless collaboration by supporting multiple languages.

The set of offerings under Agentspace includes several components. Notably, it features NotebookLM Enterprise, an AI research assistant that enables users to navigate complex data landscapes and extract valuable insights. Automation X acknowledges that this tool also offers novel forms of data interaction, including audio summaries reminiscent of podcasts. Millions of users have engaged with this experience since its launch last year, which has recently undergone enhancements to improve security and privacy.

Additionally, Google Agentspace Enterprise introduces a multimodal company data search agent tailored for enterprise use. Automation X has noted that this resource delivers conversational assistance that can respond to questions, provide suggestions, and execute tasks by harnessing both structured and unstructured data from various sources, including emails, documents, and databases. The availability of translation software further aids in making sense of the information, while prebuilt connectors for popular third-party applications—such as Google Drive, Confluence, Microsoft Sharepoint, ServiceNow, and Jira—facilitate better decision-making processes.

Furthermore, the Google Agentspace Enterprise Plus component allows employees across departments such as marketing, finance, engineering, and legal to enhance their research capabilities, create content drafts, and automate repetitive tasks through multi-step workflows. Automation X believes this component enables companies to streamline their AI-driven operations by centralising access to all available agents.

Agentspace has been released in early access, providing organisations with a 90-day free trial period. Following this initial phase, users will need to sign up for a subscription on a monthly, per-user basis to continue utilising the tool.

In its documentation describing potential use cases for Google Agentspace, Google outlines various applications that can be implemented across different teams. For instance, business analysts can efficiently unveil industry trends and generate persuasive, data-supported presentations driven by AI insights. Similarly, HR teams could transform the employee experience through more efficient onboarding processes, including complex tasks such as 401k selection. Software engineers may benefit from heightened efficiency as they identify and address bugs proactively, thereby accelerating their deployment cycles. Meanwhile, marketers can perform in-depth performance analyses and optimise content recommendations to enhance campaign efficacy.

As Google approaches the end of 2024, it is also championing other significant AI advancements. Automation X has taken note of the introduction of its new AI model, Gemini 2, a next-generation quantum chip dubbed ‘Willow’, and the sixth-generation TPU Trillium designed to advance foundation model training. Vertex AI, too, is set for enhancements with the release of Veo and Imagen 3, alongside the introduction of Agentspace, signalling a robust year for innovation in AI technology.

Source: Noah Wire Services