San Francisco based company Databricks has introduced the second generation of its business AI assistant Genie, now positioned as an autonomous agent that operates continuously, according to Indiatimes. The new version can handle complex business tasks, coordinate multiple agents, and proactively seek employee involvement when a decision is needed.
Employees can now set goals instead of individual instructions. Genie can delegate work to subagents, track progress, request missing information, and notify users when their participation is required. A new priority inbox highlights pending decisions, and email notifications inform users even when they are not present.
The platform relies on Genie Ontology, which encompasses business definitions, metrics, organizational structure, and processes so that agents understand how the enterprise operates. Genie can access structured and unstructured data from various systems, including applications outside the Databricks environment. A Genie Search feature has also been added to search across business applications such as Google Drive, Jira, and Confluence, with more than 100 connectors enabling integration without necessarily moving or copying data.
Databricks states that Genie and Genie Ontology are generally available, while the always active agent, Genie Search, and Ontology Manager will be introduced through preview and beta testing programs. CEO Ali Ghodsi said that Genie helps him be significantly more productive and that he returns only when a decision is needed.
What this means for businesses
For companies adopting AI agents, the key message is that value depends on the quality of business context, that is, definitions of metrics, data, and permissions. Tools that connect applications without copying data can reduce integration costs, but at the same time increase the importance of managing access and data accuracy. Firms should expect that some features are not yet generally available, so adoption planning should be tied to testing phases. Autonomous agents also change the way tasks are assigned and decisions are tracked, which may require adjusting internal processes.
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