Operations | Monitoring | ITSM | DevOps | Cloud

Unveiling the Future The Agentic Platform as the Operating System for Operational Intelligence

In this segment, Shailesh previews the exciting platform demos and agentic use cases to be featured at the summit. He likens their agentic platform to an operational operating system for machine learning and operational data, outlining its three key pillars: Data Fabric, AI Fabric, and Automation Fabric. This innovative framework not only utilizes LLMs effectively but also ensures robust context engineering and action automation, supporting seamless integrations with tools like Splunk ITSI and Cisco BPA. Get ready to explore the future of operational intelligence!

Why AIOps Needs Agentic AI

The AIOps and observability market has always been fragmented—and it’s not by accident. Different domain-specific tools, multiple data types, and reliance on supervised learning created complexity and silos. Now, a new approach is emerging. By placing LLMs at the center of decision-making, Agentic AI has the potential to unify this fragmented space and truly transform AIOps. This clip explains the root of fragmentation—and why the agentic approach offers a way forward. For a deeper dive, visit our website to see how the Fabrix.ai platform is architected to solve the real-time data challenge in AIOps.
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Implementing Agentic AI: A Technical Overview of Architecture and Frameworks

As businesses strive for smarter, faster operations, Agentic AI redefines enterprise operations, introducing solutions for autonomous decision-making and tackling complex challenges with precision. Agentic AI introduces an intelligent, enterprise-focused approach to enhancing operational efficiency and adaptability, paving the way for innovation. Its ability to support operational scalability and streamline workflows positions it as a vital tool for modern IT ecosystems.