"Secoda has built a solution that provides a complete overview of company data, including the knowledge that teams have about it. By combining this with AI that has a grip on structured data, teams no longer have to wait for answers. They can solve problems themselves, according to Secoda."
"This ties in quite clearly with the idea behind Atlassian's Rovo platform, which already maps the human side of work through a semantic knowledge layer. Rovo consists of three components: Rovo Search for unified search, Rovo Chat for conversational UI, and Rovo Agents for task-specific actions. Secoda's expertise in structured data complements this."
""Atlassian has been mapping the human side of work in organizations for decades," explains Tiffany To, EVP of Platform and Enterprise at Atlassian. The Teamwork Graph contextualizes work and relationships, after which Rovo brings that knowledge to each team member. "With Secoda, more teams can enrich their data with meaning and context, making it AI-ready.""
Atlassian acquired Secoda to integrate structured-data discovery and AI into its Rovo platform, making data insights accessible to non-technical teams. Secoda, founded in 2021, provides a complete overview of company data and the knowledge teams hold about it, enabling business teams to answer complex questions that previously required analysts days. By combining metadata, context, and AI that understands structured data, teams can find and interpret datasets and solve problems without waiting. Rovo's semantic knowledge layer and components—Search, Chat, and Agents—will use Secoda's capability to enrich data with meaning and accelerate connected intelligence and decision-making across teams.
Read at Techzine Global
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