The Domo AI Agent Builder launch provides new capabilities in linking enterprise data to an expanding AI ecosystem. The move is intended to simplify the process of integrating data as well as automation. Domo introduced its AI Agent Builder together with the MCP Server to facilitate seamless connectivity of data. This means that businesses can utilize real-time data to improve decision-making processes. The platform improves access to enterprise information.
“AI doesn’t become valuable when a model gets smarter. It becomes valuable when it’s connected to your business and becomes a system of action,” said Josh James, founder and CEO of Domo. “This week at Domopalooza, we’re sharing more than 200 Domo AI use cases from our customers’ live production environments. The tools we’ve announced will help users build AI agents connected to trusted enterprise data and workflows, turning AI from an abstract capability into something that actually drives business outcomes.”
Enabling Scalable and Secure AI Integration
The Domo AI Agent Builder launch also gives businesses an opportunity to develop AI agents effectively. Additionally, the MCP Server facilitates secure connectivity as well as scalability. This is to ensure consistent information flow in an enterprise.
Domo also continues to lead in business intelligence and analytics platforms. Secondly, the company is dedicated to providing integrated data and AI-based applications. This innovation helps organizations realize more value from their data. The Domo AI Agent Builder was also launched in response to the need for better data integration & automation tools in enterprises. This means that the solution provides faster insights and a competitive edge.
“Domo is the foundation for how we’re operationalizing AI for business intelligence across our organization,” said Marcus Wilkins, Lead Data Scientist at InformData, a US-based provider of background screening, continuous monitoring, and identity intelligence services from over 200 countries and territories across the globe. “By bringing our data and workflows into a single, connected environment, it gives us the control and context we need to build reliably. On top of that, we’re using GenAI in decision layers within our workflows to determine what data to use and how results move forward. The result is a system where insights can be trusted, reused, and applied consistently across teams.”
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News Source: Businesswire.com
