Harnessing AI Power: Macaw Boosts AIOps and 5G Tech

CloudFabrix, a leader in data-centric AIOps and inventor of Robotic Data Automation Fabric (RDAF), has announced the launch of its “Macaw” Generative AI assistant, providing advanced edge enhancements for the telecommunication industry, MSPs, and enterprises.

Introducing Macaw: The AI Assistant

The “Macaw” Generative AI Assistant utilizes natural language conversational queries to identify context using RDAF’s low-code platform. It employs Azure’s OpenAI LLM and CloudFabrix’s LLM for semantic search on local knowledge corpus to obtain insights, analyze data, and compose pipelines, dashboards, and service tickets. Additionally, Macaw ensures data privacy and governance through user-defined policies while breaking down operational silos and democratizing observability and AIOps.

RDAF Edge: Enhancing 5G Technology

With the increasing adoption of 5G, the latest RDAF platform release includes RDAF Edge, designed to run on edge endpoints in a single virtual machine. It ingests actionable data enriched with real-time topology and sends it to a central data platform or data lake. RDAF Edge also offers an Observability Data Modernization Service, transforming Non-OTel data into OTel data for ingestion into any OpenTelemetry-based observability backend cloud.

Composable Dashboards for Telcos

Telcos require the ability to ingest multiple data types across various networks and devices. CloudFabrix’s composable dashboards cater to these needs, providing a single pane of glass view for aggregated data across disparate sources. This comprehensive visualization is essential for telco service assurance and persona-based dashboards.

In conclusion, CloudFabrix’s introduction of the Macaw Generative AI assistant and RDAF Edge showcases innovative solutions for data-centric AIOps and 5G technology. By enhancing the telecommunications industry and enterprises with advanced tools, CloudFabrix is positioning itself as a transformative force for digital and data-driven operations.

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