Cisco said on the 12th that at Splunk's annual event in Boston, it unveiled Cisco Data Fabric, a new architecture that enables corporations to use machine data for AI.
The architecture is based on the Splunk platform, designed to reduce the expense and complexity of large-scale machine data processing and to apply the data to AI applications. Corporations can use it to train custom AI models, run agentic workflows, connect machine data with business data to derive insights, and improve decision-making.
Cisco Chief Product Officer (CPO) Jitu Patel said, "Corporations have faced high expense and complexity when trying to use their machine data for AI," adding, "Cisco Data Fabric is ready to solve this and support AI innovation."
Cisco Data Fabric is designed for the AI era to help corporations innovate faster, strengthen security, and increase business agility. The system provides a turnkey solution that addresses the challenges of distributed data management through data integration and activation.
Splunk Senior Vice President Kamal Hathi said, "By embedding AI and applying open standards, we help corporations anticipate change and scale innovation." Cisco Data Fabric turns data streams into actionable intelligence to speed decision-making, reduce risk, and spur innovation. It also provides real-time insights across diverse domains through federation capabilities.
Cisco Data Fabric provides a strong data foundation for AI innovation, supporting time-series data analysis and automated root cause analysis for AI model building. It also offers flexible application to on-premises and cloud deployments through an open architecture and is compatible with a variety of storage and analytics engines.