Atlassian, a team collaboration and productivity software platform company, is addressing the challenges faced by organizations in harnessing the vast amounts of data generated by digital businesses. With the launch of Atlassian Intelligence, the company is leveraging generative Artificial Intelligence (gen-AI) to help teams prioritize and focus on data sources that are most important for the organization. This technology aims to boost productivity and improve enterprise search and knowledge discovery. Through the use of AI, Atlassian is helping businesses turn data into actionable insights and knowledge-driven decisions.
The increasing complexity of technology platforms within enterprises has created a need for organizations to analyze data across all domains and applications. Atlassian Intelligence is designed to help digital knowledge workers overcome the struggle of finding relevant information needed to perform their jobs effectively. Valuable knowledge often gets trapped in information silos within organizations, leading to an access logjam and a cost disadvantage. Atlassian Rovo, a new product, is aimed at accelerating the process of finding, learning, and acting on information dispersed across internal software tools. It utilizes AI to discover patterns and provide contextual and relevant results through the use of ‘knowledge cards’ and AI chat for deeper data exploration.
Rovo Search, a key component of Atlassian Rovo, enables users to query custom in-house applications and deliver relevant answers across multiple data sources. By integrating Rovo with Jira or Confluence, users can access semantic intelligence to tap into information resources across the enterprise. Rovo Chat allows teams to engage in interactive conversations to ask questions, generate ideas, and resolve issues while working. The technology is designed to support interactive learning and provide personalized and contextual search results, ensuring employees only see the information they are authorized to access.
Atlassian is empowering teams with the ability to find the exact information needed across complex data sources, including popular tools like Google Drive, Microsoft Sharepoint, and Slack. Rovo Agents, specialized components of software code, work alongside human teammates to synthesize enterprise data, break down complex tasks, and make critical decisions. The technology is permission-aware, giving administrators full control over search connectors and data access to ensure data privacy. By enabling teams to engage with enterprise information in innovative ways, Rovo is helping organizations accelerate the way they find, learn, and act on information.
The integration of AI technologies like Rovo Agents into human workflows is transforming the way teams collaborate and make decisions. With the ability to learn, adapt, and partner with human teammates, Rovo Agents are enhancing productivity and streamlining processes within organizations. As organizations embrace automation functions in modern enterprise software platforms, they are able to enhance workflows and make roles more productive and enjoyable. Atlassian’s innovative approach to combining AI with human expertise is paving the way for a new era of data-driven decision-making and collaboration in the enterprise.
