Core Insights - Ribbon Communications Inc. has launched Acumen, an AIOps and automation platform aimed at enhancing network operations for service providers and enterprises, facilitating their transition to autonomous networks [1][2][3] - The platform is designed to address operational challenges, reduce costs, and improve customer experience through AI-driven insights and customizable automation [2][3] Group 1: Product Features and Benefits - Acumen provides end-to-end observability and AI-driven insights, enabling network operators to enhance reliability and performance while reducing operational costs [2][3] - The platform includes a low-code/no-code workflow builder, allowing for the creation of custom applications tailored to the needs of telecom and critical infrastructure [3] - Acumen supports both Ribbon and third-party components, offering a unified view of network performance and enabling proactive, data-driven decision-making [3] Group 2: Industry Positioning and Strategy - Ribbon Communications positions itself as a leader in real-time communications technology and IP optical networking solutions, focusing on modernizing and securing networks for service providers and critical infrastructure operators [1][4] - The company emphasizes its commitment to Environmental, Social, and Governance (ESG) matters, providing an annual Sustainability Report to stakeholders [4]

Core Insights - Tech Mahindra has launched a Multi-Modal Network Operations Large Language Model for telecoms, developed using NVIDIA AI Enterprise software and AWS Cloud infrastructure, aimed at enhancing operational efficiency and service quality in telecom networks [1][2][3] Group 1: Model Features and Capabilities - The model is based on the Llama 3.1 8b instruct model and is customized for telecom networks, managing both structured and unstructured data to enable proactive issue resolution [1][2] - It facilitates the transformation of traditional telecom networks into fully autonomous networks (L4 and above), integrating AI capabilities holistically within the network [2][3] - The model includes two critical AI-driven use cases: the Dynamic Network Insights Studio for comprehensive network observability and the Proactive Network Anomaly Resolution Hub for autonomous detection and resolution of network anomalies [3][4] Group 2: Collaboration and Strategic Vision - The collaboration between Tech Mahindra, NVIDIA, and AWS aims to redefine network operations through intelligent automation and deep learning, reinforcing Tech Mahindra's commitment to AI innovation in telecom [5] - The solution architecture integrates AI-driven intelligence into network operations, focusing on efficient data ingestion, data curation, and automated action implementation for quick service restoration [4][5] - Tech Mahindra envisions leveraging the Multi-Modal Network Operations Large Model to impact additional business use cases in the long term [5]