EnterpriseWeb Red Hat MWC26_demo3_Observability, RCA, AIOps скачать в хорошем качестве

EnterpriseWeb Red Hat MWC26_demo3_Observability, RCA, AIOps

EnterpriseWeb and Red Hat to demonstrate Telco-grade Agentic AI at MWC26 Partners to present joint solution for ontology-driven multi-domain, multi-agent level 4/5 autonomous networking At MWC, the partners will present how EnterpriseWeb’s Telecom Ontology, deployed in an OpenShift AI instance, immediately improves Granite Language Model inference quality, eliminates hallucinations and supports causal reasoning ("why" not just "what") to optimize intent-based orchestration, root cause analysis and Agentic AI. Abstract: GenAI and Agentic AI have raised expectation for Autonomous Networking. However, production deployments have been limited due to issues with accuracy, explainability and trust. EnterpriseWeb’s harmonized, standards-based Telecom Ontology provides a multi-vendor, multi-domain, multi-cloud abstraction over infrastructure virtualized by Red Hat’s Open Shift AI. EnterpriseWeb enables dynamic and contextual agent and model routing decisons, which it implements with Red Hat’s llm-d. In the demo, EnterpriseWeb’s ontology enriches and deterministically validates Granite Language Model inferences to optimize and control multi-agent behavior for Telco-grade AI. In turn, EnterpriseWeb leverages Granite to provide a secure natural language interface with LangGraph agents, through TM Forum OpenAPIs, so agents can query inventory and order new services. Demo Scenario: A developer uses a CLI-based natural language interface with the EnterpriseWeb system to generate a LangGraph agent for deploying and managing network services which will be hosted on an OpenShift AI cluster. Demo Use Case: The Network Service is a Secure 5G Gateway using Linux Foundation’s Aether Stack for 5G Core and Kamailio IMS. The 5G Core is deployed directly by EnterpriseWeb, while an Ansible Playbook is invoked to deploy the IMS to demonstrate federation. The presentation features integrations with Snowflake’s AI Data Cloud and ServiceNow incident management. Demo 3 Event-prediction and detection with root cause analysis and AIOps for autonomous networking which leverage Granite LLM as well as Graph Data Science algorithms. EnterpriseWeb provides detailed logs and trace of all agent activity, as well as the ability to interrogate agent performances via dynamically and contextually generated Semantic Views in Snowflake. Copyright 2026, EnterpriseWeb LLC. All Rights Reserved.